Lead Machine Learning Engineer

job summary:

As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on the client's website and mobile app. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.

location: Minneapolis, Minnesota

job type: Contract

salary: $70 - 77 per hour

work hours: 8am to 4pm

education: Bachelors



responsibilities:

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

qualifications:

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
• MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
• 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
• Highly proficient programming in Python and either PySpark or Scala
• Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
• Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker
• Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute
• Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
• Good understanding of Big Data tech, specifically Kafka, Spark
• Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
• Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
• Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results oriented; able to meet tight timelines
• Ability to collaborate effectively across global team
• Experience in mentoring the junior team members ML skillset and career development

skills:

• PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
• Proficiency in Java

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.