Senior Machine Learning Engineer - Recommender Systems

Thomson Reuters

Bengaluru

Hybrid

INR 3,000,000 - 5,500,000

Full time

14 days+

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Benefits offered by this job

Flexible hybrid working environment

Career development programs

Comprehensive benefits plans

Job summary

A global information provider in Bengaluru is seeking a Senior Machine Learning Engineer to spearhead the development of scalable solutions. You will collaborate with diverse teams to fulfill business objectives and enhance user experiences through cutting-edge technologies. A minimum of 5 years of experience in machine learning, particularly with Recommender Systems, is required, along with advanced skills in Python and cloud technologies. The role offers a hybrid work model and comprehensive benefits.

Qualifications

At least 5 years of experience in practical machine learning, especially with Recommender Systems.
Profound comprehension of data processing and machine learning infrastructure.
Minimum of 2 years of experience with cloud technologies, preferably AWS.
Proficient in Python, SQL, and data modeling.

Responsibilities

Spearhead development of machine learning solutions.
Create scalable, dependable, and secure machine learning solutions.
Collaborate with stakeholders to define project scope and requirements.
Establish ML best practices, standards, and code reviews across teams.
Provide expert oversight and guidance on implementation challenges.
Collaborate with cross-functional teams to define scope, data, and requirements.

Skills

Machine learning

Python programming

Data processing

Collaboration

ML Ops

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Spark

PyTorch

Scikit-learn

DBT

Job description

Join to apply for the Senior Machine Learning Engineer - Recommender Systems role at Thomson Reuters

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 are looking for someone who is 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

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

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: 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 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.

Seniority level