AWS Cloud Engineer in Pune, भारत

Role : AWS Cloud Engineer for Automotive Data Science, AI & GenAI ExpertRole and Responsibilities :- Design, develop, and implement deployment pipelines for Data Science, ML, AI, and GenAI solutions on AWS cloud.- Build and maintain CI/CD and CT pipelines using GitHub Actions, Airflow, or similar orchestration tools.- Support deployment and lifecycle management of ML models, LLM-based applications, prompt workflows, embeddings, vector search, and API-based AI services.- Collaborate with data scientists, GenAI engineers, and data engineers to understand technical requirements, solution design, and deployment processes; document standards and operating procedures.- Continuously monitor and maintain ML and GenAI pipelines in production, ensuring performance, reliability, latency, cost efficiency, and model quality.- Implement observability for AI/GenAI workloads, including model drift, data quality, prompt quality, hallucination indicators, latency, throughput, and cost metrics.- Optimize pipelines and runtime environments for scalability, security, automation, and cost-effectiveness.- Troubleshoot and resolve issues related to deployments, integrations, production incidents, and model/service performance.- Ensure compliance with security, privacy, responsible AI, and data governance standards across all deployment activities.- Support experimentation and release processes for model versions, prompt versions, feature pipelines, and evaluation workflows.- Keep up to date with emerging tools, best practices, and trends in AI Ops, MLOps, and LLMOps.- Provide support, guidance, and knowledge sharing to other team members on deployment, automation, monitoring, and operational best https://jobeax.com/link/5F3kJSDyGonXkMze and Competencies :- Bachelor's or master's degree in computer science, engineering, informatics, data science, or equivalent qualification.- Strong hands-on experience in Data Science, AI, and GenAI operations with AWS cloud platform services such as ECS, SageMaker, Batch, Lambda, API Gateway, S3, Redshift, CloudWatch, and related managed services.- Experience with GenAI ecosystem components such as foundation models, prompt orchestration, retrieval-augmented generation, vector databases, model gateways, and evaluation/monitoring frameworks.- Proficiency in Python and PySpark, with hands-on experience in containers, Airflow, GitHub Actions, SonarQube, and related automation/tooling stacks.- Strong understanding of CI/CD, deployment automation, infrastructure as code, and production monitoring tools such as Datadog or equivalent observability platforms.- Experience with MLOps, LLMOps, and AI lifecycle management in enterprise environments.- Ability to understand architectural and technical dependencies in customer analytics and AI environments.- Strong ability to translate business and technical requirements into scalable technical implementations.- Confident communicator who can present effectively internally and with clients.- Experience working in Agile delivery models.- Strong team player who can coordinate effectively across distributed, global teams and time zones. (ref:hirist.tech)