ML Ops Engineer – Digital Oilfield Systems

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 hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security.

The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil & gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration.

Key Responsibilities:

• Develop and maintain ML pipelines for data preprocessing, training, validation, deployment, and monitoring.
• Implement model governance strategies—versioning, rollback, audit trails, and explainability.
• Set up containerized environments and scalable inference systems (e.g., using Docker, Kubernetes).
• Collaborate with software, IT, and data teams to ensure model integration and compliance.
• Support continuous improvement of ML lifecycle management practices and tooling.

Required Skills and Experience:

• Strong software engineering background with ML Ops or DevOps exposure
• Hands-on experience with MLflow, Azure ML, Kubeflow, or equivalent.
• Proficiency in CI/CD workflows and scripting for automation.
• Familiarity with model monitoring, drift detection, and alerting frameworks.
• Experience deploying Python-based ML models in production.

Nice to Have:

• Understanding of Digital Oilfield environments or OT/IT integration.
• Familiarity with cloud-native services—Azure is preferred.
• Exposure to real-time data streaming (e.g., Kafka, IoT platforms).
• Understanding of security, compliance, and data access protocols in enterprise environments.

Certifications:

• Azure DevOps or Azure AI Engineer certification is a plus.
• AWS DevOps Engineer certification is nice to have but not required

Industry Experience:

• Experience in the oil and gas industry will be a significant plus.

• 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:

• Official employment and timely "white" salary (fully legal & transparent)

• Monthly performance bonus of up to 5%

• Comfortable workspace with an ergonomic chair

• Support with home office setup for remote employees

• Flexible start to the working day

• Bonuses for being part of an accredited IT company

• Business trip expenses on us

About Growth and Development:

• Individual development track

• Work with a Tech Lead and a mentor (we have technical guilds)

• Opportunity to join the company's Technical Council

• 50% compensation for professional certification within individual tracks

• Internal meetups on various topics and detailed guides

About the Office, Perks, and Atmosphere:

• Paid sports activities (even for home workouts)

• Opportunity to get private health insurance (including dental) after the probation period for office employees, and telemedicine for remote employees

• Tasty breakfasts, an office with a veranda and a large kitchen

• Discounts for you and your relatives at Rubius Academy

• Bonuses for the birth of children and marriage

• Diverse corporate events and activities

• Developed and comfortable corporate culture, without hierarchy

• 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.