Top Machine Learning Jobs in Pune

The Lead Data Engineer will lead the design and development of scalable analytic data engineering products, focus on optimizing data processes, mentor team members, and collaborate with stakeholders to drive insights from data. The role involves implementing data ingestion frameworks, ensuring data quality, and maintaining standards for data visualization and reporting.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.

The role involves deploying machine learning models at scale, collaborating with data scientists to build innovative AI solutions and GenAI applications, designing ML pipelines and platforms, managing the ML lifecycle, and mentoring team members.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Senior Engineer on the ML Platform team at CrowdStrike, you will build and maintain scalable ML pipelines, contribute to the development of the ML Experimentation Platform, and collaborate with Data Scientists and Engineers. You’ll facilitate the adoption of modern data and ML solutions, modularize complex ML code, and ensure adherence to software development best practices.

The Engineer III - ML Platform at CrowdStrike will design and build a modern Data+ML platform, enhance ML pipelines, and collaborate with various stakeholders to drive machine learning initiatives at scale. Key responsibilities include establishing deployment patterns, modularizing ML code, and utilizing cloud services for efficient data processing.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.

The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.