Jobs / Tar***
Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)
Tar*** · Brooklyn Park, MN, United States
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Brooklyn Park, MN, United States98,000-176,000 USD/yearlyHybrid
Remuneration
98,000-176,000 USD/yearly
Location
Brooklyn Park, MN, United States
Visa sponsorship
Sponsors visa
Job summary
The pay range is $98,000.00 - $176,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Tar*** cares about and invests in you as a team member, so that you can take care of yourself and your family.
Benefits
Find competitiveFrom financial and education to well-being and beyond at https://corporate.targeJOIN TARGET AS A SR AI/ML ENGINEER - MARKETING TECHAbout Us:Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.Learn more about Target here.You will play crucial role in designing, implementing, and optimizing the machinEligibilityPlease paste this url into your preferred browser to learn aboutEligibility for this role: https://tgt.biz/ForYou_D
Qualifications
- These include labor markets and in some instances may include education, work experience and certifications.
- and solutions for each business need.
- translate to machine learning solutions at scale
- Excellent communication
Responsibilities
- of this job are articulated within this job description.
- may change at any time due to business needs.
- About you:
- 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
- 3 plus years' of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment, and API design
- Experience deploying Machine Learning algorithms into production environments
- Highly proficient programming in Python
- Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn and ONNX
- Extensive experience with one or more cloud ML service such as GCP 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
Skills
Communication
Degrees
AssociateDegree
Industry
AutomotiveEducationEnergyInsuranceLogisticsPublic-sector
Company size
Smb