Machine Learning Engineer Newark, NJ
ESRhealthcare
- Newark, NJ
- $60.00 per hour
- Permanent
- Full-time
- Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
- Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
- Partner with data scientists to understand, implement, train, and design machine learning models.
- Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
- Construct optimized data pipelines to feed machine learning models.
- Extend existing machine learning libraries and frameworks.
- Develop processes, model monitoring, and governance framework for successful ML model operationalization.
- Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
- Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
- Design and implement the best architectural practices in the delivery of data science use cases.
- 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.
- Please submit the candidate's resume in PDF format.
- Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered.
- Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.