Description

You will engineer solutions leveraging Generative AI and Machine Learning principles.

Responsibilities

• Design and implement production-ready ML models using deep learning frameworks.
• Develop and deploy robust RESTful APIs using FastAPI for model serving.
• Integrate ML workflows into CI/CD pipelines for automated deployment.
• Apply Machine Learning techniques, including clustering and feature engineering, to complex data problems.

Required Skills

• 7+ years of professional experience in Data Science or Machine Learning Engineering.
• Expert-level proficiency in Python, including Pandas, NumPy, and SciKit-learn.
• Strong hands-on experience with deep learning frameworks like TensorFlow and PyTorch.
• Proven experience designing and deploying REST APIs with FastAPI.
• Practical experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Deep understanding of Machine Learning algorithms and statistical modeling.
• Experience with GenAI concepts, LLMs, and Agentic AI.
• Proficiency in SQL and experience with relational or NoSQL databases.

Key Skills

Education

Bachelor's degree