Description

You design, build, and deploy AI solutions using GenAI, LLMs, and traditional machine learning techniques.

This role is hybrid.

Responsibilities

• Develop and maintain AI/LLM applications using Python, PyTorch, and TensorFlow.
• Implement MLOps and LLMOps pipelines using MLflow, Docker, and Kubernetes.
• Build and optimize data processing workflows using PySpark, SQL, and Databricks.
• Deploy scalable microservices and APIs using FastAPI and Flask.
• Manage priorities across multiple initiatives while adhering to AI ethics standards.

Required Skills

• 5+ years of experience in AI, data science, or machine learning projects.
• Proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and PySpark.
• Hands-on experience with LLM frameworks like LangChain and LangGraph.
• Strong understanding of MLOps tools: MLflow, Docker, Kubernetes, Git CI/CD.
• Experience with cloud AI platforms: AWS, Azure, or Google Cloud.
• Proficiency in SQL and data engineering principles.
• Bachelor’s degree in Computer Science, AI, Data Science, or a related field.

Key Skills

Education

Bachelor's degree