Machine Learning Engineer (15265-1) Newark, NJ
ESRhealthcareNewark, New Jersey, United States
Posted January 6, 2026
Full Time
About the Company
ESRhealthcare is a staffing firm that connects qualified professionals with executive, healthcare, and IT positions. They provide executive, medical, IT, and special staffing placements, leveraging a broad network of partners to source real job opportunities. Candidates undergo rigorous pre‑screening to ensure optimal matches, and the firm maintains strict confidentiality by submitting personal data only after client approval. ESRhealthcare’s proactive communication and 24/7 availability keep candidates informed throughout the search, while they avoid contacting current employers, focusing on references once a suitable role is identified.
Job Description
As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions.
Requirements
- 7+ years of experience in Machine Learning
- Extensive software engineering experience with strong working experience as a Machine Learning Engineer
- Bachelor's degree in computer science, computer engineering, or a related engineering field
- Advanced proficiency with Python, Java, and Scala
- Strong computer science fundamentals such as algorithms, data structures, multithreading
- Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG
- Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
- In-depth experience building solutions using public clouds such as AWS, GCP
- Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
- Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
- Experience managing relationships in a cross-functional environment with multiple stakeholders
- Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud
- Experience working in Agile/ Scrum development process
- Thought leadership and innovative thinking
- Excellent communication and collaboration skills