Machine Learning Engineer (15265-1) Newark, NJ

ESR Healthcare; Newark (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading healthcare technology company is seeking a Machine Learning Engineer in Newark, NJ. The ideal candidate should have over 7 years of machine learning experience and a Bachelor's in Computer Science. This role involves leading projects, collaborating across teams, and designing innovative ML solutions. Proficiency in programming languages such as Python, Java, and Scala is essential, along with a strong grasp of the ML model development life cycle. The company offers a collaborative environment focused on driving real-world solutions through machine learning.

Qualifications

• 7+ years of experience in Machine Learning.
• Extensive software engineering experience as a Machine Learning Engineer.
• Advanced proficiency in Python, Java, and Scala.

Responsibilities

• Lead and drive machine learning projects from inception to production.
• Collaborate with business leaders and subject matter experts.
• Partner with data scientists to implement and design ML models.

Skills

Machine Learning

Software Engineering

Python

Java

Scala

Agile/Scrum

Generative AI

Data Science

Communication

Collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

AWS

GCP

SageMaker

PyTorch

Tensorflow

XGBoost

SKlearn

Job description

Machine Learning Engineer (15265-1) Newark, NJ

Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate :Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No

Only local candidates can apply.

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. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities:

• 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.

Key skills/knowledge/experience:

• 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.

Additional Notes:

• 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.