As a Senior Data Scientist at the company, you will engage in innovative data-driven projects focusing on the oil and gas industry. Your core responsibilities will include:
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Experimentation and Prototype Development: Design and assess data-driven algorithms using advanced AI techniques for various tasks such as regression, classification, and segmentation. Prototype and evaluate LLM-based systems and multimodal models for document understanding, knowledge extraction, and workflow automation.
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End-to-End Implementation: Manage the implementation of AI models, overseeing all stages from data preparation and cleaning to model deployment and maintenance in production settings.
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Integration of Pipelines: Collaborate with teams to integrate AI-enabled software products, contributing to solution design tailored for the oil and gas sector.
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Monitoring Model Performance: Regularly evaluate and monitor AI solutions to ensure alignment with project objectives while addressing any data quality issues and striving for continuous improvement.
Qualifications and Requirements:
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Experience:
- A minimum of 4 years in Computer Vision projects, demonstrating a breadth of expertise in classification, detection, and segmentation.
- Proven experience with cutting-edge machine learning and deep learning technologies.
- Hands-on experience in building and deploying end-to-end ML pipelines in an industrial context.
- Experience with LLM applications (e.g., GPT, Llama) and autonomous reasoning frameworks is advantageous.
- Familiarity with Geoscience applications within the oil and gas sector is a plus.
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Key Skills:
- Strong foundation in applied mathematics and statistics.
- Proficiency in machine learning and deep learning techniques.
- Advanced Python programming skills and familiarity with development tools such as PyCharm, Jupyter, Git, and Docker.
- Comprehensive knowledge of open-source tools (OpenCV) and deep learning frameworks (PyTorch, TensorFlow).
- Proficiency in LLM frameworks and related tooling (LangChain, Hugging Face).
- Excellent communication skills to convey technical concepts effectively.
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Educational Background:
- Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or a related AI field.
If you are a motivated data scientist eager to work in a cutting-edge environment, we encourage you to apply for this exciting opportunity.
