Description

You will design and deploy scalable AI solutions using Agentic AI, LLMs, and cloud platforms, owning the full lifecycle from model development to MLOps.

This role is hybrid.

Responsibilities

• Develop and optimize AI models using Python, PyTorch, TensorFlow, and Scikit-Learn.
• Build Agentic AI applications with LangChain, LangGraph, Hugging Face, and OpenAI GPT.
• Implement MLOps and LLMOps pipelines using MLflow, Docker, Kubernetes, and Git CI/CD.
• Manage data lakes and big data processing with Databricks, PySpark, and SQL.
• Deploy solutions on AWS, Azure, and Google Cloud, leveraging SageMaker, AI Foundry, and Vertex AI.

Required Skills

• 5+ years of experience in AI, data science, or related fields.
• Proficiency in Python and .Net programming languages.
• Expertise in AI/GenAI frameworks: PyTorch, TensorFlow, Scikit-Learn, PySpark.
• Strong knowledge of cloud platforms: Azure, AWS, and Google Cloud.
• Experience with containerization and orchestration: Docker and Kubernetes.
• Familiarity with API development and testing tools like Postman, FastAPI, and Flask.
• Understanding of NLP, computer vision, and deep learning methodologies.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Experience with Ollama, Azure AI Foundry, and data engineering principles.
• Knowledge of AI ethics, regulatory compliance, and agile project management tools.

Key Skills

Education

Bachelor's or Master's degrees