About the Role

We are looking for an AI/ML Engineer with strong expertise in Python, Machine Learning, and Generative AI frameworks. The role involves designing, developing, and deploying AI/ML solutions, including LLMs and Agentic AI workflows, while leveraging modern frameworks, vector databases, and cloud platforms. The ideal candidate will be able to translate business requirements into analytical approaches, build scalable solutions, and collaborate with cross-functional teams to deliver impactful AI products.

Roles & Responsibilities

Work with Agentic AI frameworks (LangChain, LangGraph, AutoGen) to design and deploy AI-driven workflows.
Build analytical solutions based on business requirements, including model development, training, and deployment.
Apply expertise in Generative AI models such as OpenAI, Google Gemini, Runway ML, etc.
Develop and deploy AI/ML solutions using libraries/frameworks: TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras.
Leverage knowledge of mathematics, probability, and statistics for model accuracy and validation.
Work on Machine Learning, NLP, and deep learning algorithms to deliver practical solutions.
Develop and maintain APIs using Flask, Django, or FastAPI.
Deploy and manage AI solutions on cloud infrastructure (AWS, Azure, GCP).
Build LLM-powered applications using embeddings, vector databases, and retrieval workflows.

Qualifications Required

Must-Have Skills:

Proficiency in Python and Machine Learning.
Strong knowledge of Flask/FastAPI, SQL/NoSQL.
Hands-on experience with OpenAI models and Generative AI applications.
Exposure to LLMs, embeddings, and vector databases.
Strong problem-solving, analytical, and communication skills.

Preferred Skills:

Experience with Agentic AI frameworks: LangChain, LangGraph, AutoGen.
Familiarity with cloud platforms (AWS, Azure, GCP).
Experience in deploying AI solutions at scale in production environments.

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