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Note : Women Candidate Preferred Role : Senior Business Analyst - Darwin About the Springer Nature : Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit group.springernature.com and follow @SpringerNature / @SpringerNatureGroup About the role : We are looking for a talented and passionate Business Analyst to join our dynamic Darwin programme at Springer Nature. As we transition from a content delivery focus to a more harmonised and personalised platform, you will play a pivotal role in driving researcher engagement and fostering loyalty. In this role, you will be part of a cross-functional agile delivery team, leveraging analysis tools to inform decisions that support both business objectives and user needs. You will collaborate closely with both your team and business stakeholders to understand complex business problems, define work and identify key opportunities. Our teams are diverse, with members from various backgrounds and nationalities. Together, we work to create solutions that not only meet the business goals of Springer Nature but also provide tangible value to our users. In accordance with our internal career movement guidance, please remember that 12 months in current role is a requirement before applying to a new role. Responsibilities : - Work with stakeholders to understand our goals & vision, and identify business needs - Orchestrate collaboration within the team and externally with business stakeholders - Communicate to the development team how the requirements are aligned with the business needs and big picture goals and vision - Collaborate and provide business analysis support to the product manager, business sponsors, SMEs and the team during development - Unearth the root cause(s) of pain points, and validate business opportunities and problems - Prioritise competing demands and obtaining buy-in from stakeholders - Map, analyse and validate information flows within a complex organisational setting - Plan, organise and lead workshops that generate ideas and resolve problems - Champion business analysis best practices and principles within the BA community - Challenge and influence decisions; focusing on customer and business value - Monitoring, tracking and communicating progress and issues relating to the project as a whole - Capturing information in teams Jira and ensuring they are kept up to date What you will be doing : Within 3 Months, you will : - Strengthen team ceremonies conducted regularly, adding value to the delivery process. - Have an understanding of the teams context in the broader programme and business. - Have developed relationships with team members and core stakeholders. - Be familiar with the technology stack and data landscape - Can co-plan, organise and lead group sessions that generate ideas and resolve problems. - Can unearth the root cause(s) of pain points and validate business opportunities and problems. - Be an active participant of the Business Analyst communities. By 3-6 months, you will : - Have a clear understanding of the teams priorities and be able to communicate this to stakeholders. - Build relationships with key providers and dependent teams. - Be able to monitor, track and communicate progress, risks and issues to stakeholders. - Be able to prioritise competing demands and obtain buy-in from stakeholders. - Map, analyse and validate information flows and user journeys to and from the product/service digital estate. - Gauge the complexity or scope of a piece of work, collaboratively breaking it into smaller pieces as appropriate. - Contribute to blameless post-mortems. - Set context with your team to ensure any solutions co-defined provide business value whilst solving customer problems By 6-12 months, you will : - Onboard new members to the team - Co-define the complexity or scope of a piece of work, breaking it into smaller pieces when appropriate. - Ensure scoped work aligns with programme and company vision - Contribute to the design of the system architecture. - Understand our customers needs, both internal and external, and how your work affects their experience. - Give and receive constructive feedback within your team. - Organise and run sessions with your discipline peers within the Business Analyst community. - Actively work alongside your team to define the vision and strategy of your product or service in terms of business and customer outcomes. - Define KPIs to measure product/service performance in terms of business and customer outcomes. - Have a thorough understanding of the potential opportunities and limitations of your product/service offering - Instil a data-driven approach to current and future product/service development. Day to day responsibilities : As part of an Agile product team, day-to-day, you will : - Engage in and/or facilitate ceremonies such as our daily stand-ups, planning, prioritisation and steering sessions, story kick-offs, collaborative analysis and design workshops, showcases to internal customers and regular retrospectives. - Work with our many and varied stakeholders to understand, analyse and scope new work. - Support your team members in problem-solving activities to remove blockers and complete agreed-upon work. About You : - You are able to quickly gain context of your product and user space and how it fits into the bigger picture of the programme landscape. - You are proactive, self driven, make yourself useful, pull information and don't wait to be asked, seek advice when unsure. - You like working in a collaborative team where there is collective responsibility for the product. - You can demonstrate experience in working successfully with teams to deliver software in an agile manner. - You can demonstrate your experience in facilitating groups to achieve defined goals and outcomes using various facilitation tools and techniques. - You will have excellent communication skills and articulate concepts and ideas from technical and functional business perspectives. - You have proven experience in managing and resolving conflict with stakeholders. - You can use available data to inform decisions, and build better products. - You will have a strong focus on high-quality customer experience and sustainable solutions. - You proactively identify pain points and openly address any form of gaps. - You can demonstrate the outstanding analytical ability to solve complex problems. - Have experience working in a dynamic and collaborative environment. - You use your drive, creativity and initiative to move the team forward. - You have experience in driving continuous improvement and innovation across teams. - You are intellectually curious and motivated - constantly looking for more context.

Pune

Springer Nature - Senior Business Analyst (7-10 yrs)

Note : Women Candidate Preferred Job Title : Senior Development Consultant - Data Engineer(Senior Analytical Data Engineer) Location : Pune, India About Springer Nature Group : Springer Nature is one of the worlds leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 180 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries. About the Role : We are looking for a skilled and motivated Senior Analytical Data Engineer to join our team and drive the development of scalable, efficient data solutions. You will play a crucial role in designing and building ETL/ELT pipelines, optimizing data architectures for all available source & target systems, and enabling business insights through effective data models. This role provides an opportunity to collaborate with cross-functional teams and work on high-impact projects that align data engineering practices with business goals. Technologies you will be working with : - SQL, Python, Google Cloud Platform (GCP), and Google BigQuery - Data pipeline tools such as Apache Airflow and DBT - Infrastructure tools like Terraform - Data modeling concepts, including dimensional and star schema design - Data visualization tools like Looker - NoSQL and SQL databases - Data pipelines for Braze (Customer Engagement Platform) and Segment CDP (Customer Data Platform) Role Responsibilities : - Design, implement, test and maintain scalable and efficient ETL/ELT pipelines to ingest and transform large datasets from diverse sources. - Architect, build, test and optimize data warehouses and data lakes, focusing on data consistency, performance, and best practices for analytics. - Work closely with data science, analytics, and business intelligence teams to understand data needs, translate requirements into data models, and develop reliable data sources. - Implement data quality checks, validation rules, and monitoring to ensure data accuracy, integrity, and security. Contribute to data governance initiatives. - Continuously monitor and enhance database and query performance, identifying opportunities to streamline and improve data retrieval times. - Define and design frameworks for monitoring data quality and data pipelines - Monitor Google BigQuery consumption. - Evaluate, select, and integrate new tools and technologies to enhance data capabilities. Automate manual processes to improve efficiency and accuracy. - Mentor junior engineers, sharing best practices in data engineering and analysis, and helping to build a culture of technical excellence within the team. - Adhere to development guidelines and quality standards What you will be doing : Within 3 Months you will : - Gain an understanding of our data ecosystem, technologies, and business requirements. - Develop foundational ETL/ELT pipelines and start contributing to existing projects. - Collaborate with cross-functional teams to translate business needs into technical requirements. By 3-6 Months you will : - Lead the development of data models and pipelines, ensuring scalability and efficiency. - Implement data quality checks, validation, and monitoring tools to enhance data accuracy. - Start optimizing database performance and query efficiency. - Collaborate closely with data analysts from the Marketing Operations team to gain insights, share knowledge, and ensure alignment with business goals. By 6-12 Months you will : - Take ownership of key projects and drive initiatives to enhance data capabilities. - Evaluate new technologies to improve data architecture and integrate them into existing systems. - Mentor junior team members, contributing to a collaborative and innovative team culture. About You : You are a technically skilled and analytical individual with over 6+ years of experience in data engineering. You excel in building scalable data solutions and thrive in fast-paced environments. You are comfortable working with large datasets, optimizing data flows, and translating complex data needs into actionable data models. You bring a blend of technical expertise and problem-solving skills and are eager to contribute to the teams success. Technical Skills & Experience : - Strong experience in designing and building scalable, efficient ETL/ELT pipelines to ingest, process, and transform data from multiple sources. - Strong Proficient in SQL, Python, and data pipeline tools like Apache Airflow, DBT, or similar. - Strong understanding of relational databases, and experience with both SQL and NoSQL databases. - Strong experience with Googe Cloud Platform and Google BigQuery. - Strong skills in data modeling concepts, including dimensional modeling, star/snowflake schema design, and building scalable, performant data architectures. - Ability to work with large, complex datasets efficiently and optimize data processing workflows. - Knowledge in Terraform or other infrastructure such as code tools. Analytical Skills : - Strong understanding of business needs and ability to translate data requirements into actionable solutions. - Familiarity with metrics/KPIs relevant to the business and ability to develop data models that support analysis and decision-making. - Experience Looker to support data visualization and deliver data-driven insights. - Ability to communicate complex data findings to technical and non-technical stakeholders effectively. - Understanding basic statistical methods, predictive modeling, and data science concepts is beneficial. - Familiarity with machine learning workflows and how they interact with data pipelines is a benefit. - Understanding of Data Mesh concepts. Soft Skills : - Strong analytical and problem-solving skills. - Ability to work in a fast-paced environment, managing multiple priorities. - Proven ability to work closely with data scientists, analysts, product teams, and other stakeholders to align data strategies with business objectives. - Strong communication skills to explain data engineering concepts to non-technical stakeholders. - Experience in mentoring junior data engineers, setting coding standards, and promoting best practices in data engineering. - Proactively shares knowledge within the team, contributing to a culture of learning and technical growth. Eligibility - In accordance with our internal career movement guidance, 12 months in current role is a requirement before applying to a new role

Springer Nature - Senior Development Consultant - Data Engineering (6-9 yrs)

Note : Women Candidate Preferred Job Title : Senior Software Developer - Java/Scala Location : Pune About Springer Nature Group : Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities enabling them to improve outcomes, make progress, and benefit the generations that follow. About the Unit : The Data & Analytics Solutions - IT team is responsible for providing the necessary technical and domain expertise required to create and maintain the databases and shared services for our end customers. Our flagship products namely SpringerMaterials, Experiments, ADIS Insight & Pearl are built by a team of developers, QAs, BAs, UI & UX experts and SMEs, who collaborate to ensure easy accessibility of relevant data. We follow a problem statement and user experience driven approach to ensure the right data is available in the simplistic way for the scientific community. About the Role : Years of Experience : 6 to 9 years Place of Work : 1201/1301, Building No. 5 (R3), Gerra Commercezone, Kharadi, Pune (Working in Hybrid Model) Educational Qualification : B.Sc., BCA, BCS, B.E., B.Tech, M.Tech, MCA and M.Sc or a technology-related field or relevant experience Job Description : We are looking for a Senior Software Developer who can work in Java/Scala, docker, SQL/NoSQL, JavaScript/ES6, HTML5, CSS3, CICD and microservices. We need a candidate who is proactive, self-driven, active listener, takes ownership and able to handle stakeholders in technical design, solutioning, implementation and release. Candidate should be able to build good rapport with stakeholders. Candidate should be proficient in English communication, both written and verbal. Role Responsibilities : Agile product team, day-to-day you will : - Take part in our daily stand-ups. - Contribute to ceremonies like planning/ IPM, showcase, collaborative design and retrospectives. - Develop new features and improve code quality by pair programming with other team members. - Build more and more domain, product and business knowledge. - Work with all stakeholders and manage the product delivery [Design to Release] Take part in support and monitoring of the platform. What you will be doing : Within 3 Months you will : - Get familiar with our technology stack. Our application is built in Java, Scala, SQL/NoSQL, Docker, Linux, HTML, CSS, React, Jade and deployed on GCP with cloud foundry. - Get to know the various Stakeholders and their general requirements. - Take part in reducing technical debt by working with team mates to add test coverage. - Get to know all members of the team. By 3-6 months you will : - Have a basic understanding of the teams context, products business model. - Build more knowledge of the product, domain and mentor new teammates. - On-board new team members and setup their machines and help them get up to speed fast. - Be able to understand and discuss business requirements with stakeholders and Product Managers and help other disciplines with these conversations. - Gain trust and confidence of project stakeholders. - Hold technical discussions with the team in order to improve the product architecture and code quality and build more understanding of the overall product. By 6-12 months you will : - Build solid understanding of the products business, domain and have technical expertise to participate in discussion for Design and architectural changes. - Onboard new members to the team or help other teams in the onboarding process. - Transform high level requirements into actionable work. - Work with global teams on plan, Design, implementation and release. - Build product features and help stakeholders to solve customers problems innovatively. - Proactively provide useful and actionable feedback to all team members and stakeholders. - Triage support queries and diagnose issues in the live applications. About You : - Need to have a solid understanding of Java/Scala, SQL/NoSQL, docker, microservices, CICD, JavaScript/ES6, HTML5 and CSS3. - Good to have knowledge of Scala, performance tuning, babel/webpack, MQ, Kafka etc. - You have 6+ years of experience as a Senior developer. You have a good understanding of design practices, lean mean design, clean code, technical depts, refactoring and XP practices (TDD, pair programming etc.). - Write quality code that is reliable and maintainable using industry best practices (e.g., style, security, testability, and efficiency). - Provide guidance to company stakeholders on upcoming challenges and participate in project planning. - Diagnose, debug, and optimize performance of web applications. - Having a good command of English is important; collaboration is important in our day-to-day work.

Springer Nature - Senior Software Developer - Java/Scala (6-9 yrs)

Note : Women Candidate Preferred About Springer Nature Group : Springer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used by our communities enabling them to improve outcomes, make progress, and benefit the generations that follow. Job Title : Senior AI ML Engineer Location : Pune, India About Us : Springer Nature AI labs work on building innovative solutions to accelerate discovery and scientific progress for the research community. Along with researchers, we also help internal Springer Nature teams in integrating AI solutions in their products for a state-of-the-art experience. Our task here is to understand the pain points of our customers, develop problem statements together with them and come up with the most innovative, cost effective and scalable solution. Our team is responsible for staying up to date with the latest technology trends in the field of AI and GenAI. We conduct experiments to validate their implications and applications at Springer Nature. About the Role : The purpose of the AIML Engineer role at Springer Nature is to enhance the publishing cycle using advanced AI and ML skills. This role focuses on improving operational efficiency and decision-making by developing and deploying AI/ML solutions to streamline processes, improve data accuracy, and enable new capabilities. Key responsibilities include staying updated on AI/ML trends, ensuring system scalability and reliability, improving data quality, detailed data analysis, enhancing user experience, and driving business insights. Key Responsibilities : - Design, develop, and deploy end-to-end AI/ML solutions, ensuring scalability, efficiency, and robustness. - Lead AI/ML initiatives, collaborating with cross-functional teams including data scientists, software engineers, and product managers. - Architect and optimize AI infrastructure, including data pipelines, model training workflows, and deployment systems. - Evaluate, benchmark, and fine-tune AI/ML models to ensure optimal performance in production environments. - Implement and enforce best practices for model monitoring, retraining, and maintenance. - Drive innovation by researching, prototyping, and implementing cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs). - Provide technical mentorship and guidance to junior AI/ML engineers and contribute to their professional growth. - Collaborate with non-technical stakeholders to translate business challenges into AI/ML solutions and communicate results effectively. - Develop and contribute to AI governance frameworks, ensuring ethical and responsible AI practices. - Lead initiatives for integrating AI/ML models into existing and new Springer Nature platforms to enhance user experiences. Within 3 Months : - Gain a deep understanding of Springer Natures AI/ML ecosystem, including technology stack, data infrastructure, and cloud platforms (Google Cloud). - Take ownership of small-to-medium AI/ML projects, collaborating with team members to design, implement, and deploy models. - Participate in architecture discussions and contribute to technical design decisions for AI solutions. - Review existing models, identify potential optimizations, and propose improvements. - Establish best practices for model deployment, testing, and monitoring. - Work closely with data scientists to enhance feature engineering and improve model performance. - Contribute to documentation, knowledge sharing, and internal technical discussions. By 3-6 Months : - Lead the design and development of AI/ML solutions, ensuring high scalability and performance. - Optimize AI/ML model inference and deployment pipelines to meet production requirements. - Implement monitoring and alerting mechanisms for deployed AI models to track performance degradation and ensure timely retraining. - Engage with business and product teams to identify AI-driven opportunities that enhance editorial workflows and customer experiences. - Conduct deep-dive research into new AI methodologies, including model compression, fine-tuning strategies, and RAG applications. - Mentor junior AI/ML engineers, providing technical guidance and conducting code reviews. - Drive improvements in AI infrastructure, including automation, CI/CD pipelines, and GPU resource management By 6-12 Months : - Own and drive multiple AI/ML projects from conception to deployment, ensuring alignment with business objectives. - Lead AI research initiatives, evaluating the latest advancements and integrating state-of-the-art techniques into production models. - Influence and shape the AI/ML roadmap, identifying opportunities for automation and intelligent decision-making across platforms. - Advocate for AI ethics, model interpretability, and fairness, ensuring responsible AI development practices. - Lead collaboration with engineering teams to define and implement AI-driven enhancements to platform features and user experiences. - Provide training and onboarding for new AI/ML engineers, ensuring seamless integration into the team. - Represent Springer Nature in AI/ML conferences, research publications, and industry forums to share insights and learn from the community. About you : - Bachelor's, Masters, or PhD in Computer Science, Engineering, or a related field. - 6-9 years of experience in AI/ML engineering, with extensive hands-on experience in machine learning, deep learning, and Generative AI. - Proficiency in programming languages such as Python, R, and expertise in Data Structures and Algorithms. - Deep understanding of AI/ML concepts, including model training, optimization, and deployment at scale. - Experience with software engineering best practices, including CI/CD, version control (Git), testing, and containerization (Docker, Kubernetes). - Strong problem-solving skills and the ability to translate complex AI/ML research into practical solutions. - Hands-on experience in NLP, Computer Vision, and Large Language Models (LLMs), including developing and fine-tuning RAG applications. - Experience working with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployment and scaling. - Excellent communication and leadership skills, with a proven ability to mentor junior engineers and collaborate with cross-functional teams.

Springer Nature - Senior Artificial Intelligence/Machine Learning Engineer - Python/LLM (6-9 yrs)

Note : Women Candidate Preferred Job Title : AI ML Engineer Location : Pune, India About Springer Nature Group : Springer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 181 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used by our communities enabling them to improve outcomes, make progress, and benefit the generations that follow. About Us : Springer Nature AI Labs work on building innovative solutions to accelerate discovery and scientific progress for the research community. Along with researchers, we also help internal Springer Nature teams in integrating AI solutions in their products for a state-of-the-art experience. Our task here is to understand the pain points of our customers, develop problem statements together with them and come up with the most innovative, cost effective and scalable solution. Our team is responsible for staying up to date with the latest technology trends in the field of AI and GenAI. We conduct experiments to validate their implications and applications at Springer Nature. About the Role : The purpose of the AIML Engineer role at Springer Nature is to enhance the publishing cycle using advanced AI and ML skills. This role focuses on improving operational efficiency and decision-making by developing and deploying AI/ML solutions to streamline processes, improve data accuracy, and enable new capabilities. Key responsibilities include staying updated on AI/ML trends, ensuring system scalability and reliability, improving data quality, detailed data analysis, enhancing user experience, and driving business insights. Key Responsibilities : - Develop end-to-end AI/ML solutions, from data collection and preprocessing to model development, deployment, and maintenance. - Collaborate with data scientists to preprocess data and create features for model training. - Implement and maintain AI infrastructure, including data pipelines and model deployment systems. - Evaluate and compare different AI/ML models to select the most appropriate ones for specific tasks. - Develop and deploy machine learning models. - Optimize model performance and scalability for production environments. - Research and experiment with new AI technologies to drive innovation. - Communicate findings and insights to non-technical stakeholders through data visualization and storytelling. - Apply machine learning, deep learning, Gen AI techniques to solve complex problems in areas such as natural language processing, computer vision, and predictive analytics. - Monitor and maintain deployed models, including retraining and updating them as needed. Within 3 Months : - Onboarding time, learning that things exist and working on simple tasks/tickets. - Get familiar with Springer Nature's technology stack, including AI/ML frameworks and cloud platforms (Google Cloud). - Begin developing and deploying AI/ML models under the guidance of senior team members. - Participate in team agile processes and ceremonies, including daily stand-ups, planning, and retrospectives. - Collaborate with data scientists to preprocess data and create features for model training. - Share insights and opinions on building scalable and reliable AI/ML solutions. By 3-6 Months : - Getting used to things, overview of the projects, and start working on it independently - Become an active contributor to AI/ML solution development, focusing on optimizing model performance and scalability for production environments. - Help improve AI infrastructure, including data pipelines and model deployment systems. - Develop a solid understanding of Springer Nature's editorial processes and how AI/ML solutions can enhance operational efficiency. - Engage in technical discussions with the team to improve product architecture and code quality. - Communicate findings and insights to non-technical stakeholders through data visualization and storytelling. By 6-12 Months : - Add value to products using the tools - Lead the development and deployment of machine learning models and ensure their ongoing performance and scalability. - Research and experiment with new AI technologies to drive innovation within the team. - Onboard new team members and support their integration into the teams agile processes. - Participate in blameless post-mortems to identify and implement improvements. - Proactively provide feedback and coaching to junior members of the team. - Advocate for defining and implementing non-functional requirements and influence the design of the system architecture. - Engage in user research to better understand the needs of researchers and other users of Springer Natures platforms. About You : - Bachelor's or master's degree in computer science, Engineering, or related field. - 3+ years of experience in AI/ML engineering, with a strong understanding of machine learning algorithms and deep learning frameworks - Proficiency in programming languages such as Python, R and Data structures, Algorithms. - Strong understanding of machine learning concepts and algorithms. - Experience with software engineering practices and methodologies, including version control, testing, and deployment. - Excellent problem-solving and data analytical skills. - Effective communication and teamwork skills. - Experience in Generative AI, LLM, building RAG applications, model optimization. Hands on experience in NLP or Computer Vision. - Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for deploying AI/ML - Having a good command of English is important; collaboration is important in our day to day work, so being able to communicate your ideas and understand others is key.For all roles in all locations, we offer a competitive, industry-benchmarked salary. What we offer : The global setup of the team and the organization, our complex system and environment and its variety are giving a chance to further develop yourself while working with team members around the globe, and international stakeholders.

Springer Nature - Artificial Intelligence/Machine Learning Engineer - Deep Learning (3-5 yrs)

Job Title - Senior AI ML Engineer Location : Pune, India About Springer Nature Group Springer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used by our communities enabling them to improve outcomes, make progress, and benefit the generations that follow. About Us : Springer Nature AI Labs work on building innovative solutions to accelerate discovery and scientific progress for the research community. Along with researchers, we also help internal Springer Nature teams in integrating AI solutions in their products for a state-of-the-art experience. Our task here is to understand the pain points of our customers, develop problem statements together with them and come up with the most innovative, cost effective and scalable solution. Our team is responsible for staying up to date with the latest technology trends in the field of AI and GenAI. We conduct experiments to validate their implications and applications at Springer Nature. About the Role : The purpose of the AIML Engineer role at Springer Nature is to enhance the publishing cycle using advanced AI and ML skills. This role focuses on improving operational efficiency and decision-making by developing and deploying AI/ML solutions to streamline processes, improve data accuracy, and enable new capabilities. Key responsibilities include staying updated on AI/ML trends, ensuring system scalability and reliability, improving data quality, detailed data analysis, enhancing user experience, and driving business insights. Key Responsibilities : <ul><li>Develop end-to-end AI/ML solutions, from data collection and preprocessing to model development, deployment, and maintenance.</li><li>Collaborate with data scientists to preprocess data and create features for model training.</li><li>Implement and maintain AI infrastructure, including data pipelines and model deployment systems.</li><li> Evaluate and compare different AI/ML models to select the most appropriate ones for specific tasks.</li><li>Develop and deploy machine learning models.</li><li>Optimize model performance and scalability for production environments.</li><li>Research and experiment with new AI technologies to drive innovation.</li><li>Communicate findings and insights to non-technical stakeholders through data visualization and storytelling.</li><li>Apply machine learning, deep learning, Gen AI techniques to solve complex problems in areas such as natural language processing, computer vision, and predictive analytics.</li><li>Monitor and maintain deployed models, including retraining and updating them as needed.</li></ul>Within 3 Months : <ul><li>Onboarding time, learning that things exist and working on simple tasks/tickets.</li><li>Get familiar with Springer Nature's technology stack, including AI/ML frameworks and cloud platforms (Google Cloud).</li><li>Begin developing and deploying AI/ML models under the guidance of senior team members.</li><li>Participate in team agile processes and ceremonies, including daily stand-ups, planning, and retrospectives.</li><li>Collaborate with data scientists to preprocess data and create features for model training.</li><li>Share insights and opinions on building scalable and reliable AI/ML solutions.</li></ul>By 3-6 Months: <ul><li>Getting used to things, overview of the projects, and start working on it independently</li><li>Become an active contributor to AI/ML solution development, focusing on optimizing model performance and scalability for production environments.</li><li>Help improve AI infrastructure, including data pipelines and model deployment systems.</li><li>Develop a solid understanding of Springer Nature's editorial processes and how AI/ML solutions can enhance operational efficiency.</li><li>Engage in technical discussions with the team to improve product architecture and code quality.</li><li>Communicate findings and insights to non-technical stakeholders through data visualization and storytelling.</li></ul>By 6-12 Months: Add value to products using the tools <ul><li>Lead the development and deployment of machine learning models and ensure their ongoing performance and scalability.</li><li>Research and experiment with new AI technologies to drive innovation within the team.</li><li>Onboard new team members and support their integration into the team's agile processes.</li><li>Participate in blameless post-mortems to identify and implement improvements.</li><li>Proactively provide feedback and coaching to junior members of the team.</li><li>Advocate for defining and implementing non-functional requirements and influence the design of the system architecture.</li><li>Engage in user research to better understand the needs of researchers and other users of Springer Nature's platforms.</li></ul>Required Qualifications/ About You <ul><li>Bachelor's or master's degree in computer science, Engineering, or related field.</li><li> 6+ years of experience in AI/ML engineering, with a strong understanding of machine learning algorithms and deep learning frameworks</li><li> Proficiency in programming languages such as Python, R and Data structures, Algorithms.</li><li> Strong understanding of machine learning concepts and algorithms.</li><li> Experience with software engineering practices and methodologies, including version control, testing, and deployment.</li><li> Excellent problem-solving and data analytical skills.</li><li> Effective communication and teamwork skills.</li><li> Experience in Generative AI, LLM, building RAG applications, model optimization. Hands on experience in NLP or Computer Vision.</li><li>Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for deploying AI/ML</li><li>Having a good command of English is important; collaboration is important in our day to day work, so being able to communicate your ideas and understand others' is key.For all roles in all locations, we offer a competitive, industry-benchmarked salary.</li></ul>

Springer Nature - Senior Artificial Intelligence/Machine Learning Engineer - LLM Models (6-11 yrs)

Job Description : About Springer Nature Group : Springer Nature is one of the world's leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 180 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries. Job Title : Senior Development Consultant - Data Engineer (Senior Analytical Data Engineer) Location : Pune, India About the Role : We are looking for a skilled and motivated Senior Analytical Data Engineer to join our team and drive the development of scalable, efficient data solutions. You will play a crucial role in designing and building ETL/ELT pipelines, optimizing data architectures for all available source & target systems, and enabling business insights through effective data models. This role provides an opportunity to collaborate with cross-functional teams and work on high-impact projects that align data engineering practices with business goals. Technologies you will be working with :<ul><li>SQL, Python, Google Cloud Platform (GCP), and Google BigQuery </li><li>Data pipeline tools such as Apache Airflow and DBT </li><li>Infrastructure tools like Terraform </li><li>Data modeling concepts, including dimensional and star schema design </li><li>Data visualization tools like Looker </li><li>NoSQL and SQL databases </li><li>Data pipelines for Braze (Customer Engagement Platform) and Segment CDP (Customer Data Platform) </li></ul>Role Responsibilities : <ul><li>Design, implement, test and maintain scalable and efficient ETL/ELT pipelines to ingest and transform large datasets from diverse sources. </li><li>Architect, build, test and optimize data warehouses and data lakes, focusing on data consistency, performance, and best practices for analytics. </li><li>Work closely with data science, analytics, and business intelligence teams to understand data needs, translate requirements into data models, and develop reliable data sources. </li><li>Implement data quality checks, validation rules, and monitoring to ensure data accuracy, integrity, and security. Contribute to data governance initiatives. </li><li>Continuously monitor and enhance database and query performance, identifying opportunities to streamline and improve data retrieval times. </li><li>Define and design frameworks for monitoring data quality and data pipelines </li><li>Monitor Google BigQuery consumption. </li><li>Evaluate, select, and integrate new tools and technologies to enhance data capabilities. Automate manual processes to improve efficiency and accuracy. </li><li>Mentor junior engineers, sharing best practices in data engineering and analysis, and helping to build a culture of technical excellence within the team. </li><li>Adhere to development guidelines and quality standards </li><li>What you will be doing </li></ul>Within 3 Months you will : <ul><li>Gain an understanding of our data ecosystem, technologies, and business requirements. </li><li>Develop foundational ETL/ELT pipelines and start contributing to existing projects. </li><li>Collaborate with cross-functional teams to translate business needs into technical requirements. </li></ul>By 3-6 Months you will : <ul><li>Lead the development of data models and pipelines, ensuring scalability and efficiency. </li><li>Implement data quality checks, validation, and monitoring tools to enhance data accuracy. </li><li>Start optimizing database performance and query efficiency. </li><li>Collaborate closely with data analysts from the Marketing Operations team to gain insights, share knowledge, and ensure alignment with business goals. </li></ul>By 6-12 Months you will : <ul><li>Take ownership of key projects and drive initiatives to enhance data capabilities. </li><li>Evaluate new technologies to improve data architecture and integrate them into existing systems. </li><li>Mentor junior team members, contributing to a collaborative and innovative team culture. </li></ul>About You : <ul><li>You are a technically skilled and analytical individual with over 6+ years of experience in data engineering. You excel in building scalable data solutions and thrive in fast-paced environments. You are comfortable working with large datasets, optimizing data flows, and translating complex data needs into actionable data models. You bring a blend of technical expertise and problem-solving skills and are eager to contribute to the team's success. </li></ul>Technical Skills & Experience : <ul><li>Strong experience in designing and building scalable, efficient ETL/ELT pipelines to ingest, process, and transform data from multiple sources. </li><li>Strong Proficient in SQL, Python, and data pipeline tools like Apache Airflow, DBT, or similar. </li><li>Strong understanding of relational databases, and experience with both SQL and NoSQL databases. </li><li>Strong experience with Googe Cloud Platform and Google BigQuery. </li><li>Strong skills in data modeling concepts, including dimensional modeling, star/snowflake schema design, and building scalable, performant data architectures. </li><li>Ability to work with large, complex datasets efficiently and optimize data processing workflows. </li><li>Knowledge in Terraform or other infrastructure such as code tools. </li></ul>Analytical Skills : <ul><li>Strong understanding of business needs and ability to translate data requirements into actionable solutions. </li><li>Familiarity with metrics/KPIs relevant to the business and ability to develop data models that support analysis and decision-making. </li><li>Experience Looker to support data visualization and deliver data-driven insights. </li><li>Ability to communicate complex data findings to technical and non-technical stakeholders effectively. </li><li>Understanding basic statistical methods, predictive modeling, and data science concepts is beneficial. </li><li>Familiarity with machine learning workflows and how they interact with data pipelines is a benefit. </li><li>Understanding of Data Mesh concepts. </li></ul>Soft Skills : <ul><li>Strong analytical and problem-solving skills. </li><li>Ability to work in a fast-paced environment, managing multiple priorities. </li><li>Proven ability to work closely with data scientists, analysts, product teams, and other stakeholders to align data strategies with business objectives. </li><li>Strong communication skills to explain data engineering concepts to non-technical stakeholders. </li><li>Experience in mentoring junior data engineers, setting coding standards, and promoting best practices in data engineering. </li><li>Proactively shares knowledge within the team, contributing to a culture of learning and technical growth. </li></ul>Eligibility : <ul><li>In accordance with our internal career movement guidance, 12 months in current role is a requirement before applying to a new role</li></ul>

Springer Nature - Senior Data Engineer - Python (6-10 yrs)

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