Lead Machine Learning Engineer - Recommender Systems
IND-BLR-Salarpuria Sattva Knowledge Court, India
Thomson Reuters
Thomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.About the role :
You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria:
Provide technical direction for projects. Break down business requirements into work for the team to execute on.
Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business,product, and recommender system objectives
Lead routine projects with manageable risks and resource requirements
Deliver AI/ML solutions using emerging technologies for multiple products or complex projects with minimal guidance
Train and mentor colleagues
Explain difficult concepts and influence others to adopt a point of view for ideas and initiatives
Craft and sustain technical outputs such as design documentation and representative models.
Design and develop control logic for end-to-end AI-based solutions
Lead the design and development of Proof of Concepts and complex AI/ML solutions
Improve operations by conducting systems analysis and recommend policy changes
About You
You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria:
- Over 5 years of experience with machine learning, especially Recommender Systems.
- Strong understanding of data processing, ML infrastructure, and DevOps/MLOps.
- At least 2 years with cloud technologies (preferably AWS).
- Proficient in Python, SQL, and data modeling; DBT is a plus.
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras.
- Experience leading engineering teams.
- Creative problem-solving skills.
#LI-HG1
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.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally 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.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
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. 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.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Classification Consulting dbt DevOps Engineering Keras Machine Learning ML infrastructure MLOps Pandas Python PyTorch Recommender systems Scikit-learn Spark SQL
Perks/benefits: Career development Flex hours Flex vacation Health care
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