Senior Machine Learning Engineer

Job Title: Machine Learning Engineer

Job Location: Newark. NJ

Salary: $60/hr

Hybrid

Job Summary

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. Master’s 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.

Job Description

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. Master’s 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.

Screening Questions

1.) What is the candidate's Month and Day of DOB (required for submission to client as an unique identifier):

2.) What is candidate's desired hourly pay rate?

3.) Where is the candidate located? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling/buying property)

4.) Is the candidate legally authorized to work in the US for any employer?

5.) What is candidate's number of years of total IT Experience?

6.) What is Candidate's number of years of experience In Required Skills ?

7.) What is Candidate's highest degree Completed (including Specialization)

8.) What is Candidate's education Start Date (MM/YYYY format)?

9.) What is Candidate's Most Recent or Current Employer/Company Name?

10.) What is candidate's Most Recent Company Address (Only State and City) ?

11.) Is the candidate a Former TCS Emp/BA ID? If yes, please mention TCS Emp/BA ID

12.) Candidate’s availability to start