Job Summary:

• We are seeking a highly skilled Machine Learning Engineer to join our forward-thinking team in the oil and gas sector.
• The ideal candidate will be instrumental in researching, transforming, and implementing advanced data science prototypes, working closely with cross-functional teams to deliver cutting-edge machine learning solutions. Your responsibilities will include designing, developing, integrating, and optimizing ML systems and algorithms.

Resposibilities:

• Conduct research to evaluate the latest machine learning techniques and tools, applying them to solve business problems effectively.
• Build and support machine learning models, tools, and applications.
• Enhance existing solutions to improve performance and scalability.
• Implement feature engineering and transformation.
• Collaborate with data engineering / DevOps teams to design and maintain robust ML pipelines.
• Optimize workflows for parallel processing using GPUs and CPUs.
• Use scalable and efficient software engineering practices to integrate machine learning components into larger software ecosystems.
• Develop monitoring tools to ensure the reliability and performance of deployed ML models.
• Implement continuous integration and delivery pipelines for ML models to streamline deployment and updates.
• Utilize tools like Kubernetes or Docker for model deployment.
• Work with business stakeholders to define requirements and create design documents for features and services.
• Collaborate with cross-functional teams, including data engineers, business analysts, clients, and vendors.
• Write clean, maintainable, and efficient code aligned with best practices.
• Participate in peer code reviews and ensure high-quality deliverables.
• Manage data science projects, timelines, and deliverables.
• Provide access management support (user access, platform, application, API’s).
• Encourage continuous learning, knowledge sharing and skill development among team members.
• Ensure data privacy and adhere to ethical data handling practices.

Requirements:

• BSc/BA in Computer Science, Computer Engineering, Math or relevant field; graduate degree in Data Science or another quantitative field or equivalent experience.
• Proven experience as a Machine Learning Engineer / Software Engineer (minimum 2 year)
• Fluent Azeri and English, Russian is a plus.
• Mastery of machine learning algorithms and techniques.
• Experience in neural networks and deep neural architectures.
• Experience with big data frameworks like Hadoop and Spark.
• Distributed computing and parallel processing for large-scale data analysis.
• Proficiency in SQL for querying and manipulating relational databases.
• Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
• Expertise in programming languages such as Python and / or C/C++, C#, Go.
• Ability to develop production-ready code and scripts.
• Proficiency in using version control systems like Git for code management and collaboration.
• Experience in model experiments tracking tools (e.g., MLflow).
• Knowledge of containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Experience in deploying models in production environments.
• Knowledge of CI/CD pipelines and automated testing for data science projects.
• Effective communication skills to explain complex technical concepts to non-technical stakeholders.
• Storytelling with data to communicate findings effectively.
• Teamwork, problem-solving attitude, business understanding, critical thinking, investigation skills, innovativethinking

We offer

• 5/2, 09.00-18.00;
• Meal allowance;
• Annual performance bonuses;
• Corporate health program: VIP voluntary insurance and special discounts for gyms;
• Access to Digital Learning Platforms.

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.