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Primary Skills
- Excellent knowledge of developing deep learning models using tools such as scikit-learn, PyTorch, TensorFlow, Keras.
- Automated Testing, Object Oriented Design.
Essential Qualifications
- Master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability and 5+ years of relevant experience.
- Demonstrated experience in developing core machine learning algorithms and computer vision applications in professional research and development settings.
- Familiarity and experience with the latest advances in deep learning technology.
- Strong background in one or more of the following areas: machine learning, time series analysis / sensor processing, deep learning, optimization/operations research, text analytics/NLP, computer vision.
- Demonstrated experience in building and applying machine learning / predictive modelling in real-world use cases.
- Excellent communication, verbal and written skills.
- Candidates must be able to legally work and reside in the US, without sponsorship.
Preferred Qualifications
- PhD in the above disciplines with 2+ years of relevant multi‑year industry experience.
- Understanding and past experience of the Oil and Gas domain is a plus.
- Experience working with, processing and managing large data sets (multi‑TB scale) is preferred.
- Track record of past publications in relevant topics.
- Immediate availability is an advantage.
- Ability to design distributed and parallelized algorithms.
Other Skills and Abilities
- Strong ability to work in a fast‑paced environment.
- Strong ability to work autonomously and as part of a team.
- Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non‑technical audiences.
- Excellent time‑management, multi‑tasking, and communication skills; capable of juggling multiple projects and related complexities simultaneously.
- Good interpersonal and communication skills.
- Good understanding of the latest technology trends for developing back‑end cloud applications.
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