PRINCIPAL DATA SCIENTIST ? AI LABS (INDIA)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you interested in applying the latest AI research to solve complex organizational problems? Would you like experimenting on state of the art techniques and translate them into a form for ready application to real-world challenges? Are you passionate about evangelizing the use of AI techniques in the open-source community?

If yes, join us.

The Role

• You will lead the roadmap for AI Labs at Gramener — building Machine Learning products that will eventually solve business problems.
• You will work on experimentation projects in NLP/NLU, Computer Vision, GeoAI, ML Engineering, MLOps and more.
• you'll practice the entire lifecycle of researching needs, exploring ideas, facilitating team discussions, scoping work, iterating to completion, and shipping new or improved features and functionality.
• You'll be responsible to build a diverse & inclusive team at Gramener - from interns to Senior/Lead ML positions - to help build ML products & integrate them into Gramex (our open-source platform).
• you'll balance technical, user, and business goals and make informed decisions about which products and features we build and how they should work. You'll create CV & NLP Pipelines, make them scalable, integrate them into Gramex, and evangelize their use in the open-source community.

What Skills Should You Have

At Gramener, we believe in telling compelling stories using Data & AI. We value experience and expertise as much as interest and passion in storytelling & AI. You may be a fit for this role if:

• You are passionate about AI & Storytelling
• You have a background in ML engineering or experience building DL/ML models at scale from inception to production.
• You have a strong understanding of neural networks/deep learning, feature engineering, feature selections, and optimization algorithms.
• You have a solid understanding of engineering best practices and the complexities of models in production.
• You're a natural communicator and facilitator, capable of bringing diverse personalities and perspectives together to scope problems and shape solutions as a group.
• You can simultaneously focus on delivering positive outcomes, managing consistent output, and mitigating disruption and risk.
• You have an experimentation mindset and are comfortable coming up with structured approaches for abstract problems
• You're enthusiastic about great experiences, pragmatic when making trade-offs, and are able to work in quick iterations on long-term goals.
• You're confident when sharing your perspective with peers and customers and humble enough to take constructive feedback to improve your understanding and approach.
• You have experience working on open source projects, enterprise software, or applications that use NLP/Vision/GIS.
• You can show us examples of a successfully shipped product or feature.
• You have 8 to 10 years of hands-on experience working on machine learning with at least 3 years’ experience in deep learning techniques.