ML Engineer/ DATA Scientist

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.