Description

You will build and maintain intelligent automation solutions using agentic AI and LLM-based capabilities. You will own the full lifecycle from model development to production deployment on AWS.

This role is on-site.

Responsibilities

• Develop intelligent automation solutions leveraging agentic AI and LLMs.
• Build, evaluate, and compare ML models across different approaches and datasets.
• Implement and maintain ML pipelines and MLOps workflows using Airflow.
• Integrate NLP capabilities including text summarization, sentiment analysis, and named entity recognition.
• Ensure production readiness with observability using Grafana/Arize and manage reliable AWS deployments.

Required Skills

• 5+ years of experience developing automation solutions and GenAI/LLM-based systems.
• Proficiency in Python with pandas and NumPy.
• Hands-on experience with LLM development using Hugging Face.
• Expertise in ML/NLP using TensorFlow, PyTorch, and scikit-learn.
• Strong AWS experience: RDS, EC2, S3, IAM, CloudWatch, Lambda, SageMaker, VPC.
• Experience building and evaluating comparative ML models.
• University background in CS, Engineering, or similar.

Preferred Skills

• Middleware experience such as MuleSoft.
• Observability experience with Grafana and/or Arize.

Key Skills

Education

Any Graduate