SOFTWARE ENGINEERING MANAGER – AI / ML (RECOMMENDER SYSTEMS)

Software Engineering Manager – AI / ML (Recommender Systems) As an integral part of the Thomson Reuters team, you'll contribute to the evolution and leadership of the global knowledge economy.
Our cutting-edge technology propels global markets and empowers professionals across the globe to make impactful decisions.
Whether you're tackling today's challenges or aiming for future achievements, you'll collaborate with some of the most brilliant minds on a variety of projects, forging innovative solutions that yield significant outcomes.
As a premier source of intelligent information, we rely on your distinct perspective to craft solutions that propel both our business and your professional development forward.
Are you enthusiastic about the opportunity to utilize your extensive technical know-how to steer a development team through comprehensive, full-cycle implementations within a top-tier organization? Our Commercial Engineering team seeks to enhance our robust global engineering team with a dedicated Software Engineering Manager specializing in AI/ML for Recommender Systems.
We're searching for someone who is fervent, independently minded, thrives in a cooperative multi-disciplinary setting, and is at ease interacting with a diverse range of individuals and technological platforms.
Seize this opportunity to make a transformative impact on customer engagement as we craft the next generation of our enterprise-wide experience.
About the Role.
In the capacity of Software Engineering Manager – AI/ML (Recommender System), you will.
Lead the technical implementation of AI/ML solutions, ensuring alignment with business, product, and recommender system goals.
Oversee the development of machine learning solutions across one or more teams, managing configuration and integration.
Instill machine learning best practices, uphold technical standards, model design, and quality assurance, including conducting source code reviews.
Handle the technical deliverables, contribute to the technical design, and provide technical oversight.
Construct proof of concepts and offer guidance on implementation.
Develop, maintain, and document representative models to meet the needs of internal customers.
Address and resolve technical issues, providing remediation as needed.
Estimate solution development requirements, including technical planning, refinement, and dependencies.
Encourage a collaborative, team-oriented atmosphere, share knowledge, and appreciate the value of varied perspectives.
Offer technical expertise, mentorship, and motivation to team members.
Promote a culture of continuous improvement, learning, innovation, and deployment.
Engage with cross-functional and product teams, business segments, internal and external technical experts, architects, and third parties on scope, requirements, solutions, data, and services.
Maintain regular communication with stakeholders to discuss their adoption trends, feedback, and opportunities for deeper engagement.
About You.
You are an outstanding candidate for the role of Software Engineering Manager – AI/ML (Recommender Systems) if you have.
Over 8 years of experience in solving real-world machine learning problems, enhancing user efficiency, reliability, and consistency with ML applications and Recommender Systems.
A background in people management responsibilities.
A deep understanding of data processing, ML systems, MLOps, and machine learning infrastructure components.
At least 3 years of experience with public cloud technology (AWS, GCP, Azure), with a preference for AWS, including services, DevOps/MLOps, networking, and security principles.
Direct experience in machine learning orchestration, creating complex multi-tenant ML products.
Proficiency in Python programming, SQL, and data modeling, with experience in DBT being beneficial.
Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other ML libraries.
A history of leading and supporting customer Engineering teams in adopting products for data and/or machine learning.
What's in it for you? 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; retirement, savings, tuition reimbursement, 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 ¿Quieres formar parte de un equipo que ayuda a reinventar la forma en que trabajan los profesionales del conocimiento? ¿Qué tal un equipo que trabaja todos los días para crear un futuro más transparente, justo e inclusivo? En Thomson Reuters, hemos estado haciendo precisamente eso durante casi 160 años.
Nuestros productos y servicios líderes en la industria incluyen software y herramientas altamente especializados basados en información para profesionales legales, tributarios, contables y de cumplimiento, combinados con los servicios de noticias más globales del mundo.
Reuters.
Ayudamos a estos profesionales a hacer mejor su trabajo, dándoles más tiempo para centrarse en las cosas que más importan.
asesorar, defender, negociar, gobernar e informar.
Contamos con el talento de empleados en más de 70 países, donde todos tienen la oportunidad de contribuir y crecer profesionalmente en entornos de trabajo flexibles que celebran la diversidad y la inclusión.
En un momento en que la objetividad, la exactitud, la equidad y la transparencia están siendo atacadas, consideramos que es nuestro deber perseguirlas.
¿Suena emocionante? Únete a nosotros y ayude a dar forma a las industrias que hacen avanzar a la sociedad.
Accesibilidad Como empresa global, confiamos en la diversidad de culturas y pensamientos para alcanzar nuestros objetivos.
Para garantizar que podamos hacerlo, buscamos empleados talentosos y calificados en todas nuestras operaciones en todo el mundo, independientemente de su raza, color, sexo/género, incluido el embarazo, la identidad y expresión de género, el origen nacional, religión, orientación sexual, discapacidad, edad, estado civil, estado de ciudadano, estado de veterano o cualquier otra clasificación protegida según la ley aplicable.
Thomson Reuters se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo y acción afirmativa y ofrece un lugar de trabajo libre de drogas.
También hacemos adaptaciones razonables para personas calificadas con discapacidades y para creencias religiosas sinceras de acuerdo con la ley aplicable.
Protégete de ofertas de trabajo fraudulentas haz click aquí para más información.
Podés encontrar más información sobre Thomson Reuters en thomsonreuters.
om.
Thomson Reuters proporciona a los profesionales la inteligencia, tecnologia y experiencia humana que necesitan para encontrar respuestas confiables.
Permitimos que los profesionales de los mercados financieros y de riesgos, legales, fiscales, contables y de medios de comunicacion, tomen las decisiones más importantes, todo ello impulsado por la organizacion de noticas más confiable del mundo.
Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.