AI Team Lead

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Responsibilities

Design develop and deploy ML/AI models and pipelines for production use.
Collaborate with data engineers to build robust data collection validation and feature pipelines.
Implement model training evaluation versioning and monitoring workflows (CI/CD for ML).
Optimize models and inference for latency throughput cost and accuracy.
Build APIs microservices or serverless components to serve models in production.
Implement observability: metrics logging model drift detection and alerting.
Conduct A/B tests and performance analysis; iterate on models based on real-world feedback.
Ensure model reproducibility documentation and compliance with data privacy and security requirements.
Mentor junior engineers and contribute to engineering best practices.

Skills Must have

2 years of experience building and deploying ML/AI systems in production.
Experience with LLMs embeddings retrieval-augmented generation (RAG) and MCP.
Experience with MLOps tools and workflows (MLflow Kubeflow TFX or similar).
Experience deploying models with cloud platforms (AWS/GCP/Azure) and container orchestration (Docker Kubernetes).
Solid software engineering fundamentals: APIs testing CI/CD and code review.
Familiarity with model evaluation metrics validation techniques and bias/fairness considerations.
Strong communication skills and ability to work cross-functionally.

Responsibilities Design develop and deploy ML/AI models and pipelines for production use. Collaborate with data engineers to build robust data collection validation and feature pipelines. Implement model training evaluation versioning and monitoring workflows (CI/CD for ML). Optimize models and inf...