ML Engineer/ DATA Scientist

Job description

**Machine Learning Engineer** **Location-Hyderabad-LOCAL CANDIDATES ONLY** **Availability:-Immediate joiner** **Mode of Interview-walk in interview/Face to Face** **Exp-7-13 y ONLY** **Key Responsibilities** - Build and maintain productiongrade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker). - Develop and automate endtoend data and ML pipelines using Spark/PySpark, Glue, Airflow, or dbt. - Implement LLMbased solutions: prompt engineering, evaluation, workflow integration. - **Apply GenAI techniques including RAG, context engineering, finetuning, and agentic frameworks (tool calling, orchestration workflows).** - Support model training, inference, and evaluation with strong grounding in traditional ML methods and EDA. - Use engineering best practices: GitHub, CI/CD, InfrastructureasCode (Terraform/CloudFormation), testing, observability. - Ensure compliance with security and datagovernance standards in a financialservices environment. Required Qualifications - **7+ years in software engineering, data engineering, or ML engineering.** - Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.). - **Expertise in Python, PySpark, and SQL.** - Proven experience automating data pipelines and ML workflows. - **Familiarity with traditional ML methods** (regression, classification, clustering, treebased models) and EDA. - **Handson experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks.** - Strong communication skills and ability to work independently in global teams.