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Sr. Machine Learning Engineer - Recommender Systems

Sr. Machine Learning Engineer - Recommender Systems

Thomson Reuters MéxicoCiudad de México, Mexico
Hace 2 días
Tipo de contrato
  • Teletrabajo
Descripción del trabajo

Overview

Senior Machine Learning Engineer - Recommender Systems at Thomson Reuters México. Join our team and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with diverse projects to craft next-generation solutions that have a significant impact.

About the Role

As a Senior Machine Learning Engineer, you will :

  • Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.
  • 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, technical standards, model designs, and quality control, including code reviews.
  • Provide expert oversight, guidance on implementation, and solutions for technical challenges.
  • Collaborate with stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp project scope, requirements, solutions, data, and services.
  • Promote a team-focused culture that values information sharing and diverse viewpoints.
  • Cultivate an environment of continual enhancement, learning, innovation, and deployment.

About You

You are an excellent candidate for the role of Senior Machine Learning Engineer if you possess :

  • At least 5 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
  • A profound comprehension of data processing, machine learning infrastructure, and DevOps / MLOps practices.
  • A minimum of 2 years of experience with cloud technologies (AWS is preferred), including services, networking, and security principles.
  • Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
  • Proficient Python programming skills, 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.
  • What’s in it For You?

  • Hybrid Work Model : Flexible hybrid working environment (2-3 days a week in the office depending on the role).
  • Flexibility & Work-Life Balance : Policies designed to manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
  • Career Development and Growth : Culture of continuous learning and skill development with Grow My Way programming.
  • Industry Competitive Benefits : Comprehensive benefit plans including flexible vacation, Mental Health Days, Headspace, retirement savings, tuition reimbursement, and wellbeing resources.
  • Culture : Inclusive, flexible, high-trust environment with values to obsess over customers, compete to win, challenge thinking, act fast, and work stronger together.
  • Social Impact : Paid volunteer days and opportunities for pro-bono and ESG initiatives.
  • Real-World Impact : Contribute to justice, truth, and transparency by supporting professionals and institutions worldwide.
  • About Us

    Thomson Reuters informs the way forward by bringing together trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are 26,000 employees strong across 70+ countries, committed to objectivity, accuracy, fairness, and transparency. We are an Equal Employment Opportunity Employer and provide a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs where required by law.

    Job Details

  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Engineering and Information Technology
  • Industries : Financial Services, Legal Services, IT Services and IT Consulting
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