Lead Data Engineer

• Design, Develop and Deploy ML powered products and pipelines
• Lead a team of Senior and Junior data scientists in delivering large scale projects

Play a central role in all stages of the data science project life cycle, including:

• Identification of suitable data science project opportunities
• Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
• Evaluation/interpretation of results and presentation to business leaders
• Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
• Training large models both for experimentation and production
• Develop production ready pipelines for enterprise scale projects
• Perform code reviews & optimization for your projects and team
• Spearhead deployment and model scaling strategies
• Stakeholder management and representing the team in front of our leadership
• Leading and mentoring by example including project scrums

• Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc)
• Excellent knowledge of ML & Deep Learning domain
• Excellent understanding of statistics and relevant mathematics
• Adept at reading and implementing latest research
• Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
• Experience with SOTA models related to NLP like Topic modelling, Q&A, Summarization, Phrase extraction, custom NER models, Table Extraction, OCR and GNNs.
• Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy
• Open to learning new technologies and programming languages as required

• 7-10+ years of relevant experience in Data Science domain
• Prior work to show on Github, Kaggle, StackOverflow etc
• A Masters / PhD from a recognized institute in a relevant specialization