Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
About the role
- Creating scalable machine learning solutions and contributing to best practices as a Senior Engineer at Thomson Reuters. Collaborating with cross-functional teams for impactful project implementation.
Responsibilities
- Be part of the development and technical implementation of machine learning solutions
- Create machine learning solutions that are scalable, dependable, and secure
- Craft and sustain technical outputs such as design documentation and representative models
- Contribute to the establishment of machine learning best practices and quality control, including code reviews
Requirements
- At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems
- A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices
- A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred)
- Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products
- Strong Python programming skills is required, SQL, and data modeling expertise, with DBT considered a plus
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries
- Experience in leading and supporting engineering teams
- Robust background in crafting data science and machine learning solutions
- A creative, resourceful, and effective problem-solving approach
Benefits
- Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
- Flexibility & Work-Life Balance: Work from anywhere for up to 8 weeks per year
- Career Development and Growth: Continuous learning and skills-first approach
- Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing
- Culture: Award-winning reputation for inclusion and belonging, flexibility, work-life balance
- Social Impact: Two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and ESG initiatives
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