What are the responsibilities and job description for the Machine Learning Engineer position at Velocity Tech Inc?
Title: Machine Learning Engineer
Duration: 12 Months
Location: Minneapolis MN (Hybrid)
Description:
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations. 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
