Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Lead Machine Learning Engineer creating personalized item recommendations for Target.com and the Target App. Designing and optimizing production ML solutions with a team of data scientists and engineers.
Responsibilities
- join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App
- play a crucial role in designing, implementing, and optimizing production machine learning solutions
- 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
Requirements
- 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' of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
- Highly proficient programming in Python
- 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 or Sagemaker
- Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
- Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
- Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc.
- Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
- Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - 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
- Motivated, team player with ability to collaborate effectively across global team
- Experience in mentoring the junior team members ML Ops skillsets and career development
Benefits
- comprehensive health benefits and programs
- medical, vision, dental, life insurance
- 401(k)
- employee discount
- short term disability
- long term disability
- paid sick leave
- paid national holidays
- paid vacation
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