AI / ML immediate candidates only (New Delhi, Pune, Noida, Gurgaon, Bangalore )

Location- New Delhi, Pune, Noida, Gurgaon, Bangalore

10+ years of experience in software engineering, data engineering, and cloud engineering, with recent leadership in Gen AI and ML solution delivery

Deep technical mastery in data engineering, software engineering, and cloud platforms, combined with advanced knowledge of Generative AI systems and frameworks.

Expertise in AI engineering principles, including MLOps, prompt engineering, model deployment, and operationalizing large language models (LLMs)

Strong knowledge and practical application of DevOps, MLOps, and DataOps methods, processes, and tooling

Demonstrated product development and product management experience, with emphasis on Gen AI features and capabilities

Ability to provide technical thought leadership in Generative AI and Data &Analytics

Exceptional stakeholder management, communication, and collaboration abilities in complex environments

Proven problem-solving, analytical thinking, and a collaborative, team-oriented mindset

Hands-on experience delivering Gen AI solutions from ideation through productization, driving technical innovation and transformation

Familiarity with Data Mesh and Data Product concepts for modern data architecture

Proficient in Agile methodologies, iterative development, and delivering value in cross-functional teams

Demonstrated capability in designing, implementing, and optimizing data pipelines and ETL processes using state-of-the-art tools

Skilled at architecting and managing secure, scalable AWS environments and working experience in the data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, Amazon Bedrock (including LLM hosting and management).

Expertise in workflow orchestration tools such as Apache Airflow

Experience implementing DataOps best practices and tooling, including DataOps.Live

Advanced skills in data storage and management platforms like Snowflake

Ability to deliver insightful analytics via business intelligence tools such as Power BI

Full-stack development experience : backend (Node.js, Python), frontend (ReactJS)

Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.)

Hands-on implementation and operation of AI / ML models with services like Amazon SageMaker

Advanced proficiency in Python and related AI / ML productivity libraries

Expertise in SQL and NoSQL database technologies