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Software Engineering Manager - AI Recommender Systems
3-7 years
Mumbai, Hyderabad / Secunderabad
1 vacancy
Software Engineering Manager - AI Recommender Systems
Reuters News
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Software Engineering Manager - AI / ML (Recommender Systems)
As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today s challenges or tomorrow s aspirations, you will work with the industry s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business and your career.
About the Role
As a Software Engineering Manager - AI / ML (Recommender System) you will:
- Drive the technical implementation of solutions to ensure it meets business, product, and recommender system expectations using machine learning
- Lead machine learning solutions development of one or more teams including configuration and integration
- Contribute and guide the team in machine learning best practices, technical standards, model designs, and quality management in all work including conducting source code reviews
- Manage the technical deliverables, contribute to technical design, and provide technical oversight
- Build proof of concepts and provide implementation guidance
- Develop, maintain, and document representative models for internal customers
- Provide technical remediation and resolution of technical issues
- Prepare solution development estimates including technical planning, refinement, and dependencies
- Work in a collaborative team-oriented environment, share information, and value diverse ideas
- Provide technical expertise, mentor, and motivate team members
- Foster a culture of continuous improvement, learning, innovation and deployment
- Collaborate with various cross functional and product teams, Business segments, internal/external technical experts, Architects and third parties including scope, requirements, solution, data, and services
- Collaborate with stakeholders to maintain a cadence of communication about their adoption trends, sentiment, and opportunities for deeper engagement
About You
You are an ideal fit for the role of a Software Engineering Manager - AI / ML (Recommender Systems) if you have:
- 8+ years in real-world ML problem-solving and Recommender Systems
- Experience in people management
- Expertise in data processing, ML systems, MLOps, and infrastructure
- 3+ years with cloud tech (AWS preferred), DevOps/MLOps, and security
- Hands-on with multi-tenant ML products
- Strong skills in Python, SQL, and data modeling (DBT is a plus)
- Familiar with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras
- Experience leading customer engineering teams in ML adoption
#LI-VN1
Whats 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 caf 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.
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.
Employment Type: Full Time, Permanent
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What Reuters News employees are saying about work life
based on 2 employees
Flexible timing
Monday to Friday
International travel
Reuters News Benefits
Gymnasium 
Cafeteria 
Work From Home 
Soft Skill Training 
International Relocation 
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