Senior AI/ML Engineer – Generative AI

Tasks

• Design and implement scalable AI/ML and Generative AI solutions.
• Develop RAG pipelines, LLM applications, and agentic AI workflows.
• Build and deploy predictive analytics and Generative AI solutions into production.
• Develop data pipelines, model pipelines, APIs, and integration layers.
• Implement MLOps best practices, CI/CD pipelines, monitoring, and observability.
• Design secure and scalable AI architectures using AWS and Databricks.
• Collaborate with data scientists, AI engineers, architects, and business stakeholders.
• Ensure compliance with security, privacy, and responsible AI standards.
• Manage technical delivery, project scope, dependencies, and risks.

Requirements

• 10 -12 Years
• Python and PySpark
• Machine Learning and Generative AI
• AWS SageMaker, EC2, S3, Lambda, Glue, Athena, and RDS
• Databricks, Delta Lake, Apache Spark, and MLflow
• Large Language Models (LLMs), RAG, and agentic workflows
• SQL and PostgreSQL
• Git, CI/CD, Docker, and Kubernetes
• Terraform or CloudFormation
• Production ML deployment and MLOps
• Preferred: Clinical data workflow experience
• Preferred: AI solution architecture and enterprise integrations
• Preferred: Vector databases and Generative AI frameworks
• Preferred: Responsible AI governance, security, and privacy
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent professional experience.

Schedule

• Duration: 6 Months
• Contract

How to apply

• Share your updated resume.

Location

• Indianapolis, IN