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Senior ML Search Engineer

Location
Chicago, Illinois
Posted
8 Sep 2022

Principal MLOps Engineer (Software)

Chicago US (Remote)

$165,000-$195,000 + Bonus + Benefits


This industry disruptor has made its name as being one of the best in the business through its leading innovation efforts. With the mission to always strive to deliver the best products and experience to their customers, this trailblazing retail company has changed how buying and selling should be done.


Role

  • As a Principal MLOps Engineer (Software) you will be apart of the MLOps Team
  • This is a Hands-on IC role
  • The MLOPs team focuses on developing solutions to productionize and operationalizing models as services for enterprise-level consumption
  • You will collaborate with Product Managers, Data Scientists, Technology teams, and Delivery Managers to deliver highly impactful capabilities that drive customer experience


Minimum Qualifications

  • Software-engineering experience in an enterprise-level environment
  • Experience with microservices software architecture
  • Leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
  • Proficient in the Python programming language experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
  • Experience in DevOps practices, testing frameworks, and CI/CD
  • Excellent communication skills, adapting to various audience types
  • Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization
  • Ability to positively influence team norms, culture, and technical vision


Preferred Qualifications

  • Proficient in an object-oriented programming language (i.e. C#, Java)
  • Experience in machine-learning and/or AIaaS with demonstrated knowledge or projects (Bonus: Computer Vision experience)
  • Familiarity with MLOps and industry-standard machine-learning Python libraries
  • Enthusiastic about the vision of building an augmented algorithmic organization.
  • ML Engineer - Container Orchestration (Kubernetes, Docker)
  • ML Engineer - Model Development and Deployment (MLFlow, Azure ML)
  • ML Engineer - Data Science Libraries and Algorithms (TensorFlow, Scikit, PyTorch)
  • Solid work experience of using Deep Learning to solve business problems: CNN, RNN, Transformer, Reinforcement learning


KEYWORDS

MLOps | Engineering | Software | Machine Learning | Enterprise level | Python | MLFlow | Kubernetes | Azure ML|

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Details

  • Job Reference: 706731596-2
  • Date Posted: 8 September 2022
  • Recruiter: Harnham
  • Location: Chicago, Illinois
  • Salary: On Application