Data-Driven AI/ML Strategist

3 days ago

Chennai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking an experienced Senior AI/ML Engineer to join our team in a dynamic and innovative environment.

Job Description

This is an exciting opportunity to work at the forefront of Generative AI (GenAI) and Machine Learning (ML) applications. You will be responsible for designing, deploying, and maintaining end-to-end ML and GenAI solutions using LLM-powered search, summarization, predictive modeling, and cloud-native AI pipelines.

  • Design and deploy scalable ML pipelines using MLflow, Databricks, and AWS Sagemaker.
  • Build RESTful APIs and inference services using FastAPI, Docker, and microservices architecture.
  • Work with diverse data formats (structured and unstructured : CSV, JSON, PDFs, EMRs).
  • Optimize data processing workflows using PySpark, SQL, and AWS RDS.
  • Integrate and operationalize foundation models and LLMs (e.g., OpenAI, Cohere, Claude, AWS Bedrock).
  • Monitor and maintain production ML systems, ensuring performance, reliability, and governance.
Requirements

To be successful in this role, you will need:

  • 5+ years of hands-on experience in AI/ML engineering.
  • Proficient in Python, with experience in FastAPI, PySpark, and SQL.
  • Strong understanding of machine learning workflows and best practices (training, validation, deployment).
  • Expertise in MLflow for experiment tracking, model versioning, and CI/CD.
  • Demonstrated experience in Generative AI, LLMs, and prompt engineering.
  • Working knowledge of Databricks, Delta Lake, and AWS services (S3, EC2, Lambda, RDS, Bedrock).
  • Familiarity with Docker, GitLab CI/CD, and cloud DevOps principles.
Benefits

You will have the opportunity to work on cutting-edge GenAI and ML solutions that impact real-world healthcare and life sciences. As part of our agile and innovative AI Center of Excellence, you will:

  • Collaborate with cross-functional teams across data engineering, cloud, and product.
  • Document model lineage, metadata, and performance in compliance with regulatory requirements.
  • Access leading tools, technologies, and models.
  • Enjoy a collaborative culture with a focus on continuous learning and professional growth.

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