About role

We are looking for data scientists in the PuTC Data Science team. The Data Scientists will be responsible for designing and executing undirected research and tackling open-ended data problems related to oil and gas domain using advanced techniques in AI (Artificial Intelligence), ML (Machine learning), DL (deep learning) etc. The data scientists will be working with very complex and large data sets. The individual will be responsible for collaborating with various cross functional teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously.

Responsibilities

• Assimilate next-generation technologies for data-driven solutions in oil and gas domain
• Generate innovative ideas, establish new research directions, and shape and execute on research projects
• Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
• Collaborate with business and engineering teams to implement robust and scalable industrial software solutions
• Contribute to technical discussions and undertake reviews of different projects as an expert
• Communicate ideas, plans, and results effectively to different stake holders
• Participate in technical forums and other appropriate events and conferences

Qualifications and Requirements

• M.S/MTech/PhD in computer science, mathematics, physics, applied sciences, engineering or similar disciplines with demonstrated algorithm development capability.
• Proven experience in developing core machine learning algorithms in professional research and development settings
• Strong knowledge of machine learning and deep learning algorithms and their applications to text analytics/NLP, computer vision, time series analysis. Familiarity with Pre-trained networks, Transformers/vision transformers.
• Good background in Lin algebra/statistics
• Excellent verbal and written communication skills
• Exposure to the latest architecture in transformers and their applications will be a plus
• Knowledge of developing deep learning models using TensorFlow, Keras, Pytorch, etc.will be useful
• Knowledge of designing distributed and parallelized algorithms for ML applications will be a plus
• Understanding and experience in Oil and Gas domain is a plus
• Experience in processing and managing large data sets (TB scale) is preferred
• Track records of past publications in relevant topics is a plus
• Immediate availability will be advantageous