Description

You will design, develop, and deploy generative AI solutions integrated with data engineering practices.

Responsibilities

• Implement and deploy machine learning models in production environments.
• Build end-to-end ML workflows from data preprocessing through model evaluation.
• Design, build, and maintain data pipelines and ML workflows.
• Develop and deploy web services and APIs integrating ML models.
• Monitor, analyze, and optimize the performance of deployed models and data workflows.

Required Skills

• 5+ years of hands-on experience in AI/ML engineering, specializing in generative AI and data engineering.
• Strong proficiency in Python.
• Experience with TensorFlow, PyTorch, and Keras.
• Expertise in generative AI models, including OpenAI APIs, LangChain, and LangGraph.
• Experience implementing Retrieval-Augmented Generation (RAG) systems using vector databases.
• Ability to develop production-grade APIs using FastAPI or Flask.
• Proficiency with data science tools such as pandas, NumPy, and scikit-learn.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Any Graduate