AI/ML Engineer (Senior Associate)
Core
Design and build AI-driven solutions using traditional ML and GenAI techniques, including prompt engineering, fine-tuning, embeddings, and autonomous/interactive agents.
Role type
Senior Associate AI/ML Engineer (Hybrid Engineer/Project Manager)
Builds
Intelligent applications, agents, modular APIs, and data pipelines for model training and deployment.
Domain
Generative AI, AI Agents, MLOps, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, scikit-learn, PyTorch, TensorFlow, OpenAI APIs, Azure, AWS, Docker, FastAPI, Flask, LangGraph, AutoGen, vector databases, MLOps pipelines, CI/CD, model monitoring, agent routing protocols, AI evaluation methods
Preferred skills
Azure Machine Learning, AWS SageMaker, Google AI/ML services, CrewAI, Spark, MCP, backend/API development, project management, technical leadership
Technologies
LangGraph, AutoGen, CrewAI, FastAPI, Flask, PyTorch, TensorFlow, scikit-learn, Azure, AWS, Docker, Spark, MCP
Responsibilities
Design and build AI-driven solutions using traditional ML and GenAI techniques; create intelligent applications and agents; develop modular APIs and service components; build and maintain data pipelines; implement observability and evaluation capabilities; partner with software engineers, data scientists, and solution architects; support rapid experimentation and dependable deployment pipelines; stay current on emerging trends in GenAI and AI agents; assist with project management activities including planning, tracking, and stakeholder communication.
Seniority
Senior Associate, hands-on IC with project coordination
