Lead Applied Research Engineer, AI and ML
1 month ago
Thomson Reuters Labs is seeking a highly skilled Lead Applied Research Engineer to join our team in Bangalore. As a key member of our research team, you will be responsible for leading the development of innovative AI and ML solutions that drive business transformation.
Key Responsibilities- Provide technical leadership and direction to the research team, collaborating with engineers to develop and improve methodology and evolve the technology stack.
- Develop and deliver high-quality software solutions, applying modern software development practices and ensuring timely delivery.
- Build scalable ML solutions, creating large-scale data processing pipelines to help researchers build and train novel machine learning algorithms.
- Work collaboratively with cross-functional teams, sharing information and valuing diverse ideas to drive innovation.
- Stay up-to-date with emerging technologies and contribute innovative ideas to drive business growth.
- Effectively communicate technical ideas and collaborate with team members to deliver end-to-end solutions.
We are looking for a highly skilled and experienced researcher with a strong background in AI and ML. The ideal candidate will have:
- A Bachelor of Science degree in Computer Science or a related field.
- At least 10 years of software engineering experience, preferably in machine learning and natural language processing.
- Experience leading technical workstreams within a software engineering organization.
- Strong expertise in Python software development stacks and ecosystems, with experience in other programming languages and ecosystems a plus.
- Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
- Strong understanding of probabilistic models and mathematical concepts underlying machine learning methods.
- Experience integrating Machine Learning solutions into production-grade software, with a sound understanding of ModelOps and MLOps principles.
- Familiarity with Natural Language Processing (NLP) problems and key tasks such as Named Entity Recognition (NER), Information Extraction, and Information Retrieval.
As a member of our team, you will enjoy a range of benefits, including:
- A hybrid work model, with flexible working arrangements and a seamless experience that is digitally and physically connected.
- Comprehensive benefit plans, including flexible vacation, mental health days off, and work-from-anywhere options.
- A globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
- Access to LinkedIn Learning, internal Talent Marketplace, and Ten Thousand Coffees Thomson Reuters café networking.
- Two paid volunteer days annually and opportunities to participate in Environmental, Social, and Governance (ESG) initiatives.
- A purpose-driven work environment, where you will be part of a team helping to create a more transparent, just, and inclusive future.
We are committed to creating a diverse and inclusive workplace, where everyone has the opportunity to contribute and grow professionally. If you are passionate about AI and ML, and want to be part of a team that is shaping the future of knowledge professionals, we encourage you to apply.
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