Machine Learning Engineer
5 Star RecruitmentNewark, New Jersey, United States
Posted January 6, 2026
Full Time
About the Company
5 Star Recruitment specializes in connecting employers with top talent across a range of industries. Their core focus is on delivering tailored recruitment solutions that match candidates' skills and career aspirations with employers' strategic objectives. The firm differentiates itself through a rigorous screening process, a robust network of industry experts, and a commitment to building long‑term partnerships with both clients and candidates. By combining deep market knowledge with a personalized approach, 5 Star Recruitment consistently places the right people in the right roles, driving success for both organizations and individuals.
Job Description
Machine Learning Engineer to lead and drive machine learning projects from inception to production, 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. Masters degree preferred
- 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
