Head of ML Engineering Center
8.0/10
Gazprom Neft
Not specified
Hybrid
lead
about 2 months ago
aidevtechPythonMLOpsDockerKubernetesCI/CDGitSQLBigDataHadoop
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Description
What you'll do
- •Lead a team of MLE engineers through project stages from hypothesis to production deployment.
- •Ensure high-quality architecture and code.
- •Apply ML methods to a wide range of tasks.
- •Design and implement microservice architectures for ML systems.
- •Collaborate with business stakeholders to understand requirements.
- •Coordinate with teams like BI, DWH/Data Lake, and DevOps.
- •Mentor team members to enhance their ML engineering skills.
- •Generate new ideas and identify growth opportunities through ML.
Conditions
- •Work schedule: 5/2, 09:00 - 18:00, Fri until 16:45.
- •Hybrid work format - office 5 times/month.
- •Employment under Russian labor law.
- •Salary discussed with successful candidate.
- •Annual bonus based on achievements.
- •Health insurance with dental and life insurance.
- •Permanent employment contract.
- •Professional development in a leading IT community.
- •Corporate sports, team tournaments, and runs.
- •Comfortable office with amenities.
- •Family events and support for volunteer initiatives.
Requirements
- •Degree in Computer Science, Applied Mathematics, or related fields.
- •Solid experience in developing and deploying industrial ML systems.
- •Practical knowledge of MLOps principles.
- •Experience with containerization platforms and CI/CD pipelines.
- •Advanced Python knowledge for ML/DS tasks.
- •Practical application of LLM and RAG architectures.
- •Experience with optimization methods.
- •Experience with queue systems, caching, and distributed computing.
- •Proficiency in SQL and BigData technologies.
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