Machine Learning Engineer - Hybrid

Company: Viva USA Inc.
Location: Minneapolis
Posted on: April 18, 2025

Job Description:

Title: Machine Learning Engineer - Hybrid

If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.










Mandatory skills:


Machine Learning, Machine Learning Development
PySpark, Scala,
Python, Java
Pytorch, TensorFlow, xgboost, sklearn, ONNX,
cloud ML services, Vertex AI/Azure ML, Sagemaker,
Spark, Ray, TensorFlow Distribute,
TorchServe, TensorFlow Serving, FastAPI,
Big Data tech, Kafka, Spark, CI/CD pipelines,
ML frameworks, cloud ML services, ML solutions,
application development, data pipelining, model optimization, deployment, API design,
automated model deployment, testing, serving frameworks, visualizations, graphs, narratives,
designing, implementing, optimizing, software design, code reviews, tested codebase







Description:

As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on the client website and the client 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.
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


Nice to Have:
PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
Proficiency in Java

TECHNICAL SKILLS

Must Have:
Kaftka
Machine Learning
Machine Learning Development
Python, Pyspark or Scala
SPARK

Nice To Have:
Java

Experience:
5 - 20 Years

Notes:
This position will operate as a Hybrid/Flex for Your Day work arrangement based on client 's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the client location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by the client .
Onsite 1 day a week at minimum. Sometimes teams may require up to 3 days and full Core Weeks attendance.








VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at hr@viva-it.com for any complaints, comments and suggestions.




Contact Details :

Account co-ordinator: Ramadas Kumaresan, Phone No: (847) 786-5904, Email: staffing10@viva-it.com

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
staffing10@viva-it.com - http://www.viva-it.com
Remote working/work at home options are available for this role.

Keywords: Viva USA Inc., St. Paul , Machine Learning Engineer - Hybrid, Engineering , Minneapolis, Minnesota