Description
Responsibilities
Assimilate next-generation technologies for data-driven solutions in oil and gas domain
Develop 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
Design and implement multi-database integration projects involving Oracle, SQL Server, etc
Deploy, Configure, and Customize Schlumberger Corporate Data Management Solutions on prem and cloud
Contribute to technical discussions and participate in different projects
Communicate ideas, plans, and results effectively to different stake holders
Participate in technical forums and other appropriate events and conferences
Qualifications and Requirements
Required
M.S/MTech in Data science, ML, AI or similar disciplines with demonstrated research capability.
0-3 years of experience (Graduated between 2019-2022)
Knowledge and understanding of the workflows involved in the development of data science algorithms.
Knowledge in database workflows (Oracle/SQL Server) and scripting (PL-SQL).
Knowledge of machine learning and deep learning algorithms and their application to time series analysis, text analytics/NLP, computer vision etc
Knowledge of developing deep learning models using TensorFlow, Keras, Pytorch, etc.
Able to work in client facing projects in any part of India
Able to confidently explain complex concepts in simple terms
Ability to deal with a high-pressure environment and demanding deadlines
Excellent verbal and written communication skills
Preferred
Strong knowledge of optimization, sensor processing
Knowledge of designing distributed and parallelized algorithms for ML applications
Knowledge of AI/ML platforms like Dataiku DSS, Azure Machine Learning, RapidMiner, or Amazon SageMaker
Understanding of Oil and Gas domain
.png)