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Job Description
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
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
- 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
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Skills
Artificial IntelligenceData ScienceDeep LearningMachine LearningAnalyticsAiMlData ScientistIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
SLB (NYSE: SLB) is a global technology company driving energy innovation for a balanced planet.
With a global footprint in more than 100 countries and employees representing almost twice as many nationalities, we work each day on innovating oil and gas, delivering digital at scale, decarbonizing industries, and developing and scaling new energy systems.
SLB accelerates innovation and production to support complex projects, improves our clients’ economics, and drives a low-carbon future. Our purpose is to create amazing technology that unlocks access to energy for the benefit of all.
Find us on:
www.slb.com
www.linkedin.com/company/slb
www.facebook.com/slb
www.twitter.com/slb
www.instagram.com/slb
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Important dates & deadlines?
Application Deadline
03 Jun 26, 02:01 PM IST
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