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Technical Project Manager at Fractal.ai Bengaluru Company overview Fractal is a strategic AI and analytics partner to the most admired Fortune 500 companies globally, helping them power every human decision in the enterprise at scale by bringing AI, Engineering and Design together. Fractal has close to 3000 consultants spread across 16 global locations including the United States, UK/EU, APAC, and India Responsibilities : - Lead technical projects end-to-end right from design to release, owning the complete delivery - Handle a large program /Projects & Program/ Project P&L or experience in handling cross market global rollouts, - Guide the team to Design and build cloud solutions on Azure / AWS/ GCP, choosing the best-in-class services, tools, methodologies - Translating business requirements into technology specifications, architecture design, data modeling, build, release management, DevOps and stakeholder management including tech/IT teams - Implement one or more Agile and DevOps practices and tools such as Jenkins, JIRA, Confluence, Selenium, SonarQube, etc - Implement /Execute projects involving one or more of the below one or more programming language/development platforms such as Java, .NET, Python, JavaScript, NodeJS, Go - Data engineering tools like pyspark , python , ETL processing etc - Production support execution / Managed Services - Build the knowledge base required to deliver increasingly complex technology projects - Develop the software and systems needed for end-to-end execution on large projects Qualifications : - A bachelors/masters degree in Computer Science or related field with 8- 14 years of technology experience - Strong experience in Data engineering, Webapp build, System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space - Proficient in data extraction from heterogenous sources, performing EDA, data integrity and quality checks, and applying data cleansing techniques, transform data for modeling. - Expertise in Python, Azure, AWS/ GCP , Hadoop (Hive, HBase, HDFS, Map Reduce, Others),Spark are required - Ability to work with a global team of consulting professionals across multiple projects - Hands-on DevOps experience developing and delivering products in a collaborative, agile team environment - Excellent leadership, communication (written and oral), and interpersonal skills - Proven success in contributing to a team-oriented environment - Proven ability to work creatively and analytically in a problem-solving environment"

Pune

Bangalore

Chennai

Gurgaon/Gurugram

Fractal.ai - Technical Project Manager (9-14 yrs)

Job Description : We are seeking a highly skilled and motivated Data Governance Consultant to join our team. As a Data Governance Consultant, you will be responsible for driving data governance initiatives, implementing metadata management and data catalog solutions, and ensuring data quality across the organization. You will work closely with clients, stakeholders, and technical teams to provide end-to-end ownership of the Data Governance program. Responsibilities : - Collaborate with stakeholders to understand and define data governance requirements, policies, and guidelines. - Design, develop, and implement a comprehensive data governance framework to ensure data quality, integrity, and security. - Establish and enforce data governance policies, standards, and procedures. - Lead the implementation and management of Collibra, Axon/EDC, Purview, Big ID and other data governance tools, including system integration, data processing, storage, automation, and reporting solutions - Design, develop, and implement a comprehensive data governance framework to ensure data quality, integrity, and security. - Establish and enforce data governance policies, standards, and procedures. - Stay up to date with data-related government regulatory requirements and emerging trends. - Review data stores in lake and cloud environments and contribute to data security strategy definition or solution design. - Develop functional and technical specifications ensuring alignment with data governance objectives. - Contribute to knowledge capital by sharing data governance best practices and industry trends. - Assess current processes, identify improvement areas, and propose technology solutions to enhance data governance practices. - Demonstrate logical thinking and problem-solving skills while collaborating with cross-functional teams. - Possess strong client interfacing skills and the ability to effectively communicate complex data governance concepts to non-technical stakeholders. - Apply industry domain knowledge in one or two specific areas to provide context-specific data governance solutions. Qualifications : - Strong experience in data governance, metadata management, data catalog, and data lineage. - Proficiency in Collibra, Informatica EDC/Axon, Purview, Alation, Big ID and SQL. - Familiarity with DQ tools such as Informatica Data Quality and Collibra DQ. - Good understanding of data warehousing, ETL concepts, and relational databases. - Proven experience in stakeholder management and end-to-end ownership of Data Governance programs. - Ability to develop and implement data governance strategies, models, and best practices. - Strong problem-solving skills and the ability to think logically. - Awareness of the latest technologies and industry trends in data governance. - Excellent communication and interpersonal skills. - Ability to work collaboratively in a team environment.

Mumbai

Noida

Fractal.ai - Senior Consultant - Data Governance (7-10 yrs)

Job Description : About Fractal : What makes Fractal a GREAT fit for you? When you join Fractal, youll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. Were a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Our people enjoy a collaborative work environment, exceptional training and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. close. How You Will Make an Impact/ Job Responsibilities : - Lead and build DevOps capability for Azure services. - Planning, design and development of Azure Infra based architecture and solutions. - Working closely with client and delivering outcomes per the SoW and SLA - Architect, design, develop, deploy and document new systems or maintain existing systems on Cloud - Platforms based on specifications. - Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale. - Engage customers understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams. - Design for Cloud security and compliance ensure solutions and operations reliability. - Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes. - Act as a mentor and technical consultant for the various teams. Desired/Preferred Skills : - Well versed with IaaS and PaaS services of Azure - Strong understanding and implementation of DevSecOps Framework. - Understand the technical, financial and organizational requirements and constraints of enterprise customers and work closely with multiple teams to lead cloud enabled solutions - Demonstrate ability to architect enterprise ready secure and scalable solution in cloud optimized for cost. - Hands on experience with container technologies (Docker, Kubernetes, OCI, etc.) and microservices architecture. - Hands on experience with Unix and Linux based systems, shell scripting - Effectively communicate the target state architecture topology on cloud to clients - Solid understanding of design principles for resilient, scalable, high-performing distributed applications - Experience with automation, orchestration, CI/CD tools like Jenkins, GitHub Actions, Azure DevOps and other tools. - Have integrated code quality and security tools in CICD. - Worked with build and release to Azure services like Azure WebApp, Logic App, Data Factory, Databricks and other services. - Ability to work on multiple projects, collaborate effectively with multiple teams and be flexible to adapt to changing requirements. - Have worked with external client, managed client expectation and delivery - Good understanding of Infrastructure as a Code script like Terraform, ARM, Pulumi or others - Experience in programming languages like Python, Bash, Perl, VBScript, GoLang, will be an added advantage. - Monitoring and Logging tools knowledge/experience like Azure Monitor, App Insight and Log Analytics, - Prometheus, Grafana and Fluentbit will be added advantage. - Deep understanding of Azure networking and Landing zone architecture. Years of Experience : - 12 to 16 years experience - 7+ years of experience in DevOps Education Qualification : - B.E / B.Tech, BCA, MCA equivalent - Cloud DevOps certification Azure DevOps, Azure Architect

Fractal.ai - Lead Architect - Azure Services (11-18 yrs)

About Fractal : What makes Fractal a GREAT fit for you? When you join Fractal, youll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. Were a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Our people enjoy a collaborative work environment, exceptional training and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. close. How You Will Make an Impact/ Job Responsibilities : - Lead and build DevOps capability for Google Cloud services. - Planning, design and development of Cloud Infra based architecture and solutions. - Working closely with client and delivering outcomes per the SoW and SLA - Architect, design, develop, deploy and document new systems or maintain existing systems on Google Cloud Platform based on specifications. - Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. - Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale. - Engage customers understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams. - Design for Cloud security and compliance ensure solutions and operations reliability. - Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes. - Act as a mentor and technical consultant for the various teams. Desired/Preferred Skills : - Well versed with IaaS and PaaS services of Google Cloud - Strong understanding and implementation of DevSecOps Framework. - Understand the technical, financial and organizational requirements and constraints of enterprise customers and work closely with multiple teams to lead cloud enabled solutions - Demonstrate ability to architect enterprise ready secure and scalable solution in cloud optimized for cost. - Hands on experience with container technologies (Docker, Kubernetes, OCI, etc.) and microservices architecture. - Hands on experience with Unix and Linux based systems, shell scripting - Effectively communicate the target state architecture topology on cloud to clients - Solid understanding of design principles for resilient, scalable, high-performing distributed applications - Experience with automation, orchestration, CI/CD tools like Jenkins, GitHub Actions, Azure DevOps and other tools. - Have integrated code quality and security tools in CICD. - Worked with build and release to Azure services like Azure WebApp, Logic App, Data Factory, Databricks and other services. Or similar services on AWS or Google cloud - Ability to work on multiple projects, collaborate effectively with multiple teams and be flexible to adapt to changing requirements. - Have worked with external client, managed client expectation and delivery - Good understanding of Infrastructure as a Code script like Terraform, ARM, Pulumi or others - Experience in programming languages like Python, Bash, Perl, VBScript, GoLang, will be an added advantage. - Monitoring and Logging tools knowledge/experience like Azure Monitor, App Insight and Log Analytics, Prometheus, Grafana and Fluentbit will be added advantage. - Deep understanding of Azure networking and Landing zone architecture. Years of Experience : - 12+ years experience - 8+ years of experience in DevOps Education Qualification : - B.E / B.Tech, BCA, MCA equivalent - Cloud DevOps/Architec certification

Fractal.ai - Lead Architect - DevOps/Google Cloud Platform (11-18 yrs)

Technical Project Manager at Fractal.ai Bengaluru Company overview Fractal is a strategic AI and analytics partner to the most admired Fortune 500 companies globally, helping them power every human decision in the enterprise at scale by bringing AI, Engineering and Design together. Fractal has close to 3000 consultants spread across 16 global locations including the United States, UK/EU, APAC, and India The experience should be as per the responsibilities listed below : Responsibilities : - Lead technical projects end-to-end right from design to release, owning the complete delivery. - Handle a large program /Projects & Program/ Project P&L or experience in handling cross market global rollouts, - Guide the team to Design and build cloud solutions on Azure / AWS/ GCP , choosing the best-in-class services, tools, methodologies. - Translating business requirements into technology specifications, architecture design, data modeling, build, release management, DevOps and stakeholder management including tech/IT teams - Implement one or more Agile and DevOps practices and tools such as Jenkins, JIRA, Confluence, Selenium, SonarQube, etc - Implement /Execute projects involving one or more of the below - One or more programming language/development platforms such as Java, .NET, Python, JavaScript, NodeJS, Go - Data engineering tools like pyspark , python , ETL processing etc - Exposure to Agile methodologies - Build the knowledge base required to deliver increasingly complex technology projects - Develop the software and systems needed for end-to-end execution on large projectsSuccess Profile - A bachelors/masters degree in Computer Science or related field with 8- 14 years of technology experience - Project Management / Program management experience. Should be able to highlight one or 2 key projects with implementation details) - Data & analytics Projects Data Engineering / DWH , Data foundation in cloud Exposure ( any of the 3) Must - Fullstack Projects : Exposure to Fullstack technologies, App Development Must - Strong experience in Data engineering, Webapp build, System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space - Proficient in data extraction from heterogenous sources, performing EDA, data integrity and quality checks, and applying data cleansing techniques, transform data for modeling. - Expertise in Python, Azure, AWS/ GCP , Hadoop (Hive, HBase, HDFS, Map Reduce, Others),Spark are required - Ability to work with a global team of consulting professionals across multiple projects - Hands-on DevOps experience developing and delivering products in a collaborative, agile team environment - Excellent leadership, communication (written and oral), and interpersonal skills - Proven success in contributing to a team-oriented environment - Proven ability to work creatively and analytically in a problem-solving environment

Fractal.ai - Senior Technical Project Manager - Cloud (9-14 yrs)

Job Description : Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients. Responsibilities : As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. - Enable Model tracking, model experimentation, Model automation - Develop scalable ML pipelines - Develop MLOps components in Machine learning development life cycle using - Model Repository (either of) : a. MLFlow, Kubeflow Model Registry b. Machine Learning Services (either of) : Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS - Work across all phases of Model development life cycle to build MLOPS components - Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS, Azure, GCP)/On Prem - Be an integral part of client business development and delivery engagements across multiple domains Qualifications : Required Qualifications : - 6-10 years experience building production-quality software - Strong experience in System Integration, Application Development or Data-Warehouse projects across technologies used in the enterprise space - Basic Knowledge of MLOps, machine learning and docker - Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) - Experience developing CI/CD components for production ready ML pipeline. - Database programming using any flavors of SQL - Knowledge of Git for Source code management - Ability to collaborate effectively with highly technical resources in a fast-paced environment - Ability to solve complex challenges/problems and rapidly deliver innovative solutions - Team handling, problem solving, project management and communication skills & creative thinking - Foundational Knowledge of Cloud Computing either one AWS, Azure or GCP - Hunger and passion for learning new skills Education : B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

Fractal Analytics - MLOps Engineer - Python (6-10 yrs)

Responsibilities : - Design and implement advanced solutions utilizing Large Language Models (LLMs). - Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. - Conduct research and stay informed about the latest developments in generative AI and LLMs. - Develop and maintain code libraries, tools, and frameworks to support generative AI development. - Participate in code reviews and contribute to maintaining high code quality standards. - Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. - Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. - Possess strong analytical and problem-solving skills. - Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills : - Natural Language Processing (NLP) : Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. - Computer Vision and Audio : Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. - Generative AI : a. Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. b. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. - Cloud : Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. - Application Development : Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

Hyderabad

Fractal Analytics - Data Scientist - LLM/NLP (6-10 yrs)

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