Applied ML Scientist

6 months ago

Bengaluru, India Thomson Reuters Full time

Applied ML Scientist

Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? in Bangalore is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts.

What does Thomson Reuters Labs do ? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.

As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is that serve Thomson Reuters customers in new and exciting ways.

About the role

As a Applied Machine Learning Scientist, you will:

Experiment and Develop : You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery. Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables. Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data. Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

About you

PhD in a relevant discipline or Master’s or Bachelor’s with a comparable level of experience Proficiency in Python At least 5+ years practical, relevant experience building AI/ML products and applications (7+ years for Master’s or 10+ years for Bachelor’s) Solid software engineering and / or data engineering skills for prototyping Experience as a technical leader, leading aspects of the following:aiding in the ideation with product stakeholderscomfort in dealing with uncertainty and ambiguity in problem statements and paths to successbreaking down complex problems into tractable components with iterative improvementsformulating research and development planscoordinating and guiding the work of otherscommunication of progress and plans with varied stakeholders Should have led AI/ML projects in current role and should have the experience in Designing, developing, and implementing machine learning models and algorithms. 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry Have familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling. Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization) Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers, OpenAI, LangChain, Semantic Kernel & OpenCV Experience in using Cloud solutions (AWS, Azure, etc.) for building and deploying data science solutions Demonstrated ability to translate cutting edge research into working prototypes Experience in a fast-paced, agile environments managing uncertainty and ambiguity Proficiency in Python and experience delivering minimum viable products in a large enterprise environment Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders Diverse experiences across problem spaces, companies and cultures


What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

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.

- compensation. Compensation may only be relevant for certain positions and is recommended for use primarily by Sales:


Compensation Base salary and a variable compensation that is directly related to your success.



#LI-AD1


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.

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