Rubius is an accredited IT company. We develop software for clients from various industries—from industrial and oil & gas to retail and medicine. Founded in the very heart of Siberia, Tomsk, we now have partner companies all over the world.
Our solutions are used by Russian and global leaders such as Apple, Tesla, Kaspersky, Amazon, IBM, Uber, Netflix, Gazprom, Russian Railways, and others. The company's partners are located in the UAE (Dubai), Kazakhstan (Astana), Russia (Moscow, St. Petersburg), and Saudi Arabia (Riyadh).
Job Description (contract for one year):
We are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production engineering workflows.
This is a hands-on technical role focused on building ML models that enhance forecasting, optimization, and operational decision-making across complex oilfield environments. Experience with agent-based or generative AI systems is a bonus, but not a requirement.
Key Responsibilities:
- Develop and maintain machine learning models tailored to oilfield data and engineering processes.
- Work closely with domain experts to understand workflows and identify ML opportunities across production, reservoir, and facility systems.
- Build, train, and deploy models for time series prediction, classification, anomaly detection, or clustering using structured and semi-structured data.
- Validate model accuracy and performance in real-world operational settings.
- Collaborate with software teams to integrate models into DOF platforms or dashboards.
- (Optional but valued) Explore the use of LLMs or agentic AI to support technical queries or enhance interaction with data systems.
Required Skills and Experience:
- Strong background in machine learning, data modeling, and applied statistics.
- Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Familiarity with oilfield datasets, including production data, sensor logs, simulation outputs, or engineering inputs.
- Understanding of the challenges and context of oil & gas workflows, even if not from direct experience.
- Ability to collaborate with geoscientists, production engineers, or field operations teams to co-design effective models.
Nice to Have:
- Experience working with or developing for Digital Oilfield systems (DOF platforms, custom solutions, or commercial tools).
- Exposure to cloud platforms such as Azure (preferred) or AWS.
- Familiarity with Agentic AI frameworks (LangChain, CrewAI, AutoGen), or LLMs as a support layer in technical environments.
- Knowledge of MLOps practices or tools (e.g., MLflow, Airflow, or model deployment pipelines).
Certifications:
- Azure Data Engineer or AI Engineer certifications are a plus, especially for roles involving cloud-based deployment.
- AWS experience is appreciated but not mandatory.
Industry Experience:
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Experience in the oil and gas industry will be a significant plus.
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Candidates with experience in building AI systems in other industries are also encouraged to apply.
What We Offer
Our employees are the main asset of Rubius. We support creative freedom and the soar of engineering thought. We strive to ensure that every member of our team realizes their potential. We care about our employees. Here, both remote and in-office teams feel maximally comfortable.
About Work and Compensation:
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Official employment and timely "white" salary (fully legal & transparent)
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Monthly performance bonus of up to 5%
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Comfortable workspace with an ergonomic chair
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Support with home office setup for remote employees
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Flexible start to the working day
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Bonuses for being part of an accredited IT company
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Business trip expenses on us
About Growth and Development:
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Individual development track
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Work with a Tech Lead and a mentor (we have technical guilds)
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Opportunity to join the company's Technical Council
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50% compensation for professional certification within individual tracks
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Internal meetups on various topics and detailed guides
About the Office, Perks, and Atmosphere:
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Paid sports activities (even for home workouts)
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Opportunity to get private health insurance (including dental) after the probation period for office employees, and telemedicine for remote employees
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Tasty breakfasts, an office with a veranda and a large kitchen
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Discounts for you and your relatives at Rubius Academy
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Bonuses for the birth of children and marriage
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Diverse corporate events and activities
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Developed and comfortable corporate culture, without hierarchy
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Interest-based communities (soccer, tennis, our own music band, chess club...) and a team where everyone's opinion is heard.
To get to know us better, search for "Rubius" in your browsers.
We will be happy to work in a team with people who love what they do!
Please note that the employment contract will be for a fixed term of one year.
