Lead Data Scientist (AI, ML, CV, MLOps)

Key Skills

Aartificial intelligence, BERT, Computer Vision (CV), Data science techniques, Deep Learning, GANs, Leadership Skill, Machine learning techniques, MLOps tools, NeurIPS, Transformer, XGBoost

Job Description

HERE is searching for a Lead Data Scientist (AI/ML) for our Foundation Engineering team. Within Foundation Engineering you would be part of the Technology Innovation Lab, a Lead Data Scientist (AI/ML):

• You will develop a Tech driven innovation strategy for TIL based on the principles of design thinking.
• Identify and Define relevant channels of engagement across HERE for TIL to expand the impact footprint of the business vertical
• Define IP monetization strategy that will enable HERE to earn revenue /enter new market
• Define startup/university engagement framework for successful collaboration with these bodies, in line with HERE’s business strategy.
• Identify the domains in technology where TIL and HERE should engage and defining a strategy for realization of same through development of disruptive prototypes in line with HERE business strategy
• Enabling invention of new frameworks /solutions in the domain of AIML, Blockchain, Location intelligence, distributed computing,quantum computing, tinyML, etc
• Improving the innovation index of HERE, by getting research papers published in NeurIPS, IEEE, and awarded recognition in international forums like CES, Stevie ,etc
• Enabling y-O-y increase in number of patents being filed by the team
• Work with the Manager to Identify and Define lead KPIs related to effective assessment of performance at individual level and impact assessment of innovation implementation at business unit level
• Support team to design experiments and stay up to date with industry inventions in AIML(esp Computer Vision), blockchain, quantum computing, Location Intelligence , distributed computing LiDAR and Drone processing, 3D modelling , AR/VR
• Identify relevant research papers in above mentioned tech domains and enable team to design solutions for the same

Who are you?

Bachelor’s Degree in Engineering Or Master’s degree Or Phd program n Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields. 

• Understanding of statistical analysis of data and mathematical modeling
• Knowledge of Clustering, Regression, Decision Trees, Forecasting, RandomForest, XGBoost, SVM, Deep Neural Networks (CNN, GRU, LSTM, Activation and Pooling layers), GAN, Encoders, Transformers, BERT, Graph Neural Network , diffusion models
• Experience in Object Detection, Localization, Segmentation using Computer Vision and Deep Learning
• Ability to handle large datasets and images of high resolution (4K) using Scala, Hadoop, Pyspark

AND/OR

• Candidates with MSc/MS in Mathematics/Computer Science, Machine learning and AI or related quantitative needs 10yrs of experience. Candidates with PhD in related fields may have 5 yrs of experience
• The candidate should possess a certified degree in the field of quantum physics and other related fields.
• Should have adequate knowledge about machine learning and artificial intelligence.
• Prior experience through internships and volunteering with professionals will also be needed to apply for the quantum engineer profile.
• Should possess in-depth knowledge about the emerging and simulating fields and approach challenges with unique perspectives.
• The candidates should also possess a basic knowledge of the different programming language. 

What You’ll Get:

• Challenging problems to solve
• Opportunities to learn cool new things
• Work that makes a difference in the world
• Freedom to decide how to perform your work
• Variety in the types of projects
• Feedback so you will know how well you are doing
• Collaborative, Supportive Colleagues. 

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.