Machine Learning Engineer Newark, NJ
Machine Learning Engineer Newark, NJ
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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 : $60 per hour 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.
- Bachelors 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 candidates resume in PDF format.
- Please remove the candidates 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.
Employment Type
Full Time
