Lead Machine Learning Engineer – Item RecSys
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Responsibilities
- join a Data Sciences team responsible for creating personalized recommendations on 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
- 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, Tensor Flow, 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, Tensor Flow Distributed
- Experience with serving frameworks such as Torch Serve/Tensor Flow 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
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