Description

As an AI Engineer, you will design and deploy AI solutions using Agentic AI, LLMs, and cloud platforms. You own the full lifecycle from model development to MLOps deployment, ensuring scalable and compliant systems.

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