Lead/Prinicipal AI/ML Engineer

Required Qualifications:

• Graduate degree from a renowned institute in: Engineering/Statistics/Economics/Computer Science/ Mathematics (with a solid quantitative background)

• Experienced researcher with 10+ years of experience in developing and deploying Machine Learning (ML) solutions to generate business value

• Minimum of 4 years of mentoring, and grooming a small team of Data Scientists / ML Engineers

• Worked in Healthcare and have prior understanding of the kind of data, systems and problems involved in Healthcare

• Worked hands-on using pre-trained models leveraging Transfer Learning, as well as using frameworks / libraries for NLP (e.g. Hugging Face, spaCy etc.) and CV (e.g. OpenCV)

• Demonstrated hands on experience in using algorithm libraries / frameworks like PyTorch, TensorFlow and H2O

• Demonstrated hands on experience in working with Big Data technologies such as SPARK

• Worked hands-on on the cloud and have familiarity with cloud-based AI/ML services

• Solid theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.

• Solid theoretical and practical knowledge of some or most Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.

• Solid theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization

• Solid to Expert level programming ability Python

• Proven ability to possess solid technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence & Machine Learning

• Proven ability to possess good presentation and public speaking skills; ability to organize and present information to audiences with disparate levels of technical understanding

• Proven ability to work well in a matrix organization and possess solid collaboration skills as well as the ability to build partnerships

• Proven ability to work well under pressure in a fast-paced environment

• Proven excellent consulting skills, including the ability to engage with and present to CXO leaders as well as stakeholders with minimum to high analytics exposure across various departments in an organization.

• Proven good conflict management and prioritization skills

• Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solution

• Proven professional, service oriented, proactive and flexible