Empleo de Senior Machine Learning Engineer - Recommender Systems en Ciudad de México - Vacante 104763 - MX

Publicado hace más de 30 días.

Senior Machine Learning Engineer - Recommender Systems en Thomson Reuters

No especificado MXN

Ciudad de México

No especificado

Inglés : Nivel Básico

Senior Machine Learning Engineer - Recommender Systems

Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey.

Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier company? Our Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. We're looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience.

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 an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the 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 3 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?

By joining our team, you'll be part of an inclusive community of exceptional talent, dedicated to your personal and professional development:

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; and employee incentive programs; resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.

  • Purpose-Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

#LI-FP2


Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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