AI/ML Engineering Lead — Hands-on GenAI & Production

TechDigital Group; Secaucus (NJ); On-site; USD 140,000 - 170,000; Full time

Job summary

A leading technology firm seeks an Engineering AI/ML Manager in Secaucus, NJ. This role involves delivering AI/ML solutions while managing a small team. Candidates should have 7-10 years of engineering experience, strong leadership skills, and familiarity with ML frameworks like TensorFlow and PyTorch. The position supports enterprise AI initiatives in the healthcare sector, aiming to integrate advanced technologies. A bachelor's degree in a relevant field is required.

Qualifications

• 7–10 years of overall engineering experience, with 3+ years in AI/ML engineering.
• 2+ years of people or technical team leadership experience.
• Strong hands-on experience with ML frameworks and cloud platforms.

Responsibilities

• Deliver AI/ML solutions from design through production.
• Manage a small team of engineers while providing technical guidance.
• Support enterprise AI initiatives aligned with healthcare standards.

Skills

Team leadership

Hands-on coding

Machine learning frameworks

Python

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

TensorFlow

PyTorch

scikit learn

Azure

Job description

The Engineering AI/ML Manager (GL 28) is a hands on technical leader responsible for delivering AI/ML solutions from design through production while managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, and is ideal for a manager who still codes, reviews designs, and actively guides implementation.
This role supports enterprise AI initiatives across machine learning, generative AI, LLM based solutions, and data driven automation, aligned with healthcare and regulated industry standards.

Key Responsibilities
Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Experience with healthcare, payer, or regulated industries.
• Exposure to Responsible AI, model governance, and compliance reviews.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience managing mixed onshore/offshore delivery teams.
• 7–10 years of overall engineering experience with 3+ years in AI/ML engineering.
• 2+ years of people or technical team leadership experience.
• Strong hands on experience with:
o Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
o Cloud platforms (Azure preferred)
o ML model deployment and productionization
• Experience building and deploying LLM or GenAI solutions is strongly preferred.
• Solid understanding of data pipelines, APIs, and distributed systems.