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International/On-site exposure

Professional degree assistance

Office cab/shuttle

Job/Soft skill training

Cafeteria

The Scalers Reviews by Employees

ROLES AND RESPONSIBILITIES : - He/she will be working with the Senior Data Quality Engineer to ensure proper monitoring, alerting, and tracking of data processes (ingestion, integration, & quality processes). - Should be able to identify, assess, monitor, document, and communicate potential quality issues in the way data is collected, stored, processed, or used. - Identify the root causes of data quality errors, remediate them according to the defined protocol, and recommend long-term mitigating solutions. - Should be able to document data operation and monitoring solutions in clear and concise guides. - Execute data quality runbooks when required, including notifying 3rd party data providers, communicating the issues to MIO data stakeholders, and restarting data processes. - Should be good at creating and codifying data quality rules using the data quality platforms (Informatica) for use by the broader data operations team. - Create and maintain data catalogues and business dictionaries/glossaries in Informatica. - Participate in committee meetings and workshops with data stakeholders. - Contributes to team effort by accomplishing related results as needed. SKILLS / COMPETENCIES : - 2+ years experience in a data quality, systems analyst, or data-focused role. - Experience in developing and following policies and procedures relating to data and quality improvement. - Familiarity with the concepts of Data Governance, Data Quality or Master Data Management is an advantage. - Familiarity with the Informatica cloud suite of products is an advantage. - Good understanding of programming and scripting skills (e.g., SQL, Python) to support data operations and automation. - Experience in solving data analytics problems and effectively communicating results and methodologies. - Strong analytical, problem-solving, and English communication skills, both written and spoken - Ability to regularly learn and adopt new technology - Strong communication skills and ability to present results to management teams to allow them to interpret the results and make effective decisions - Bachelors degree in Computer Science, Data Analysis or equivalent relevant qualification.

Remote

Data Operations Specialist - Python/SQL (2-4 yrs)

Key Requirements : - A minimum of 5+ years of experience as an ML Engineer is must. - Experience in ML model development applying Data Science algorithms and GenAI - Are proficient with Python and Databricks, including open-source data libraries (e.g. Pandas, Numpy, Scikit learn, etc.). - Strong understanding and experience of DevOps technologies such as Docker/Terraform and ML Ops practices and platforms/ frameworks like ML Flow ( Amazon Sagemaker/Azure Machine Learning). - Strong experience in production using machine learning models. - Working experience in any one of predictive modelling, optimisation or recommendation systems. - Hands-on experience with agile delivery methodologies and CI/CD. - Hands-on experience with Unit Testing. - Have a broad understanding of data extraction, data manipulation and feature engineering techniques. - Are familiar with statistical and mathematical methodologies. - Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline. - Excellent communication skills. Good to Haves : - PySpark/Ray for processing big data. - DBT for data management. - Understanding of NLP algorithms and techniques. - Applied experience using graphs. - Experience with Large Language Models (fine-tuning, RAG, agents, LangChain). - Experience with cloud infrastructure. - Good to have a masters degree in ML Engineering

Bangalore

Senior Machine Learning Engineer (6-12 yrs)

Roles and Responsibilities : - Implement and deploy machine learning models that drive measurable impact for our business - Partner with stakeholders to propose innovative solutions to existing business problems - Craft the entire end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments, and maintenance - Create the tools, frameworks, and libraries that enable the acceleration of our ML product delivery and improve our workflows - Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation. Key Requirements : - A minimum of 8+ years of experience as an ML Engineer. - Are proficient with Python and Jupyter Notebooks, including open-source data libraries (e.g., Pandas, Numpy, Scikit learn, etc.). - Strong experience in production using machine learning models. - Excellent knowledge of Generative AI landscape : both theory and practice. - Experience with deep learning frameworks, Torch, Tensorflow (Keras,) or Jax. - Demonstrable experience with RAG, fine-tuning, and/or agent frameworks. - Significant practical experience with either NLP or Computer Vision. - Excellent knowledge and experience of Python package development, including dependency management. - Hands-on experience with agile delivery methodologies and CI/CD is an added advantage. - Working experience in data extraction, data manipulation, and feature engineering techniques. - Are familiar with statistical and mathematical methodologies. - Have an advanced degree in Computer Science, Mathematics, or a similar quantitative discipline. - Excellent communication skills. Good to Haves : - PySpark/Ray for processing big data. - Applied experience using graphs. - Experience with Databricks. - Experience with cloud infrastructure.

Lead Artificial Intelligence/Machine Learning Engineer - Data Modeling (8-14 yrs)

Roles And Responsibilities : - Lead the design and development of complex, scalable front-end systems. - Drive front-end architecture and advocate for best practices. - Work closely with product and design teams to plan and execute new features. - Ensure the platform adheres to accessibility and security standards. - Mentor and support the growth of junior and mid-level engineers. Key Requirements for this Role : - 7+ years of experience in building React-based applications and managing them. - 5+ years of experience working with Javascript, React and Redux. - Possess proficiency in HTML and CSS. - In-depth experience in building applications from scratch or migrations. - Has experience managing and mentoring small teams of junior front-end engineers. - Has great understanding of Microservices or modular architecture or Micro-front end. - Excellent communication skills and go-getter attitude. - Someone who has experience in working with small company setups, understanding the impact of speed and quality deliverables. - Prior experience in RoR and Unit Testing is desirable.

Senior Frontend Engineer - React.js Framework (7-12 yrs)

Roles and responsibilities : - You will be responsible for designing, coding, testing, and debugging the cloud-based applications. - Manage ongoing and new projects as they appear; plan sprints, manage deadlines with the team and communicate with various stakeholders. - Optimise software for maintainability, quality, performance, security, and scalability. - Provide technical leadership and direction to the team, setting clear expectations and objectives. - Train, mentor and coach developers at all career levels, sharing knowledge and best practices. - Collaborate with other teams, such as design, user research, product management, and data engineering and data science, to deliver user-centric solutions. - Communicate effectively with stakeholders and users, understanding their needs and requirements. - Contribute to the overall technology function regarding infrastructure, shared knowledge and continuous improvements. Key Requirements : - 6+ years of experience in software development. - 4+ years of Hands-on experience with MS Dynamics 365 CRM Development using C#. - Experience with building, managing and automated deployments of Dynamics customisations. - Experience with managing, deploying and integrating C# services within Dynamics (Workflows/PowerAutomate and Azure Functions). - Experience with unit testing. - Strong experience with designing, building and maintaining CI/CD pipelines. - Experience with software design patterns and SOLID principles. - Experience working in an Agile environment. - Produce innovative technical design and technical specifications. - Ability to work and communicate clearly and efficiently with team members. Good to Have : - Experience with enterprise-scale systems is a major plus. - Experience with integration testing is good to have.

Senior MS Dynamics 365 CRM Developer - C# (6-12 yrs)

Job Description : - 6+ years of experience in WordPress Code, system integration, web application, and platform development. - 2+ years of working experience with PHP and MySQL. - Exposure to large WordPress multi-site installations. - Experience in both front and back-end development. - Proficiency in web technologies such as HTML, CSS, and Javascript. - Knowledge of SEO best practices. - Experience with WordPress custom theme and plugin development. - Fundamental technical skills, including version control and software architecture. - Familiarity with web hosting environments, deployments and server management. - Excellent teamwork and communication skills. - Ability to manage multiple projects and meet deadlines.

Senior Wordpress Developer - PHP/Javascript (6-12 yrs)

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