Applied AI ML Lead
On-site · Jersey City, New Jersey, United States
Job Summary
Lead hands-on design, development, and deployment of AI/ML solutions, including GenAI and large language models, in production. Act as a subject-matter expert across ML techniques, collaborate with product, engineering, and business teams to deliver scalable AI systems, conduct experiments, optimize models for performance, own end-to-end Python code for POC to production, integrate generative AI within the ML platform, drive modern ML infrastructure adoption, ensure responsible AI practices and governance, and mentor other AI engineers and scientists.
Required Qualifications
- Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field
- Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models
- At least 5 years of experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments
- Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm)
- Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML)
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences
- Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners
- Experience applying data science and ML techniques to solve business problems
- Passion for detail, follow-through, and technical excellence
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