Manager - AI/ML

Role Overview

An AI Engineer designs, develops, and deploys AI models and solutions, including Generative AI applications, to solve real-world business problems.

What You Will Do

Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world use cases. Develop scalable algorithms for search, retrieval, and real-time inference.

Why It Might Be a Fit

3–9 years of experience in AI/ML development and deployment. Hands-on experience with LLMs and Generative AI applications.

Requirements

• 3–9 years of experience in AI/ML development and deployment
• Hands-on experience with LLMs and Generative AI applications
• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch)
• Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning)
• Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen)
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment
• Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG)
• Hands-on with cloud-native AI deployments (Azure, AWS, GCP)
• Familiarity with API-driven design, microservices, and event-driven architectures