Description

You will design, build, and deploy AI applications and ML models using Python, Java, or Scala. You will own the full lifecycle from model development to production deployment on AWS, leveraging containerization and CI/CD pipelines.

This role is on-site.

Responsibilities

• Develop and optimize machine learning models using TensorFlow, PyTorch, or Scikit-learn.
• Implement GenAI solutions, including prompt engineering and integration with LLMs and OpenAI APIs.
• Build scalable data pipelines and microservices using Python, Pandas, NumPy, and Spark.
• Deploy applications on AWS using Docker and ECS/EKS, managing CI/CD via GitHub Actions or Jenkins.
• Maintain data integrity and system performance using SQL, NoSQL, and distributed systems principles.

Required Skills

• 5+ years of experience in software engineering or data science.
• Strong proficiency in Python, with knowledge of Java or Scala.
• Hands-on experience with ML frameworks: TensorFlow, PyTorch, or Scikit-learn.
• Experience with GenAI tools, LLMs, and prompt engineering.
• Proficiency with data libraries: Pandas, NumPy, and Spark.
• Cloud and DevOps experience on AWS, including Docker and ECS/EKS.
• CI/CD pipeline management using GitHub Actions or Jenkins.
• Solid understanding of SQL, NoSQL, and version control (Git).

Preferred Skills

• Experience with Hugging Face, Claude CLI, or Code generation tools.
• Familiarity with ETL processes and distributed systems architecture.

Key Skills

Education

Bachelor's degree