Job description
- Researching, Designing and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms for different areas such as sentence classification, intent and entity recognition, question answering, enterprise knowledge search for specialized domains
- Regular interaction with functional domain experts and implementation teams and AI backend team for efficient product development, production release and development cycles
- Keeping abreast of latest developments in AI such as releases of training libraries/frameworks, Reinforcement learning, knowledge graph and Deep learning. Reading and researching state-of-the-art papers in NLU problems
- Working with a unique dataset of large amount of support tickets, and natural / unstructured data sources
- Build Deep Learning models in TensorFlow for GPUs and CPUs
- Work with Backend Engineers to ship your models to production
- Bachelor’s/Masters/PHD in Computer science, Mathematics, Statistics or equivalent field and must have min. 8+ years of overall experience
- Minimum 4-5 Years of experience working as a Data Scientist in deploying ML at scale in production
- Experience in slicing and dicing of large data sets to draw insights
- Working experience with different AI frameworks
- Past experience of working in Entity Detection and Disambiguation, Intent Detection, have implemented and worked in industry to solve these problems.
- Working experience of CRFs, BERT/Transformers, Text summarization, Attention models,.
- Working experience with one of the language models : GPT- 2/3, BERT, ALBERT
- Working knowledge of Question-Answering Framework
- Experience of deploying multiple machine learning models on Production Environment using tools such as TensorFlow Serving
- Understanding of synthetic generation techniques in NLP
- Good understanding of Transfer Learning concepts
- Experience building production-ready NLP systems
- Familiarity with Distributed systems (Docker, Kubernetes, Azure), Working knowledge of Linux OS)
Meet your team
We’re Maps, a product unit within TomTom’s Location Technology Products technical unit. Our team is comprised of over 2,000 people in 40 countries – all driven to deliver the most up-to-date, accurate and detailed maps for the hundreds of millions of people using TomTom maps around the world. Joining our team, you’ll help continuously innovate our map-making processes, create a real-time closed loop between detected changes in the real world and the users’ map, and build maps that will enable the future of autonomous driving.
- Competitive compensation package.
- Work flexibility program (Working @ TomTom) - work from both home and the office!
- Home office benefits, with a setup budget and a monthly allowance to support.
- Chance to work abroad for 90-calendar days in select countries and states!
- Holiday package that includes your birthday off and a volunteering day per year.
- Bring your ideas and innovation to life during our Hackathon, DevDays, and more!
- Take on learning opportunities – internal programs, O’Reilly and LinkedIn learning.
- The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility.
- Be part of a supportive, inclusive, and global culture.
After you apply
1. First call: If your application matches the role, then it’s time to put a voice to the name! We’ll call you to set up an interview.
2. Introduction Call: In this interview, we want to know more about you – what excites you about location technology and how can you help us solve global challenges.
3. Online assessment: We’ll set you an assignment - use your expertise to show us what you’ve got.
4. First interview: We'll dive into your tech stack knowledge and expertise.
5. Second interview: We'll dive into your potential role, showing you how you’ll fit into your team and contribute to our vision.
6. The final decision: Cue the fireworks, because we’ll start the onboarding!
