5 дней назад
Senior Platform/MLOps Engineer (Cheminformatics)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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TL;DR
Senior Platform/MLOps Engineer (Cheminformatics) (Python/Apache Airflow/Docker): Building and optimizing scalable platforms, scientific workflow orchestration, and data pipelines for computational drug discovery with an accent on cloud infrastructure, automation, reliability, and reproducibility. Focus on designing distributed computational environments, integrating scientific tools through APIs, and supporting AI-driven applications.
Location: Tbilisi; remote work available
Company
Software Country provides custom software development services focused on complex high-load applications, AI and BI solutions, and mobile apps, with 30 years of expertise.
What you will do
- Design, develop, and maintain scalable platforms for scientific workflow orchestration and automation.
- Build and manage computational and data pipelines using Apache Airflow and Python.
- Develop and maintain containerized applications and services with Docker.
- Ensure the reliability, scalability, and reproducibility of automated scientific workflows.
- Integrate computational tools, data sources, and services through APIs while collaborating with AI/ML engineers, computational scientists, and software developers.
- Automate infrastructure and continuous delivery, optimize platform performance, and support AI-driven application deployment.
Requirements
- 6+ years of experience in Platform Engineering, DevOps, Infrastructure Engineering, or a related field.
- Strong hands-on experience with Python.
- Practical experience with Apache Airflow or similar workflow orchestration tools.
- Solid experience with Docker and containerized environments.
- Experience designing, building, and maintaining automated workflows and data pipelines.
- Good understanding of cloud infrastructure and distributed systems.
Nice to have
- Experience with AWS or other cloud platforms and familiarity with Kubernetes.
- Experience with Terraform, GitOps, or Infrastructure as Code practices.
- Experience with PostgreSQL and Snowflake, primarily for data querying and reading.
- Understanding of API design and service integration.
- Experience developing or supporting AI/ML-driven applications.
- Background in life sciences, computational chemistry, bioinformatics, or drug discovery.
- Experience with other workflow orchestration and management solutions.
Culture & Benefits
- Remote work and a flexible schedule.
- Collaboration available through a B2B contract with USD or EUR payments, depending on preference, or through a labor contract.
- Opportunities for professional growth.
- Company laptop provided.
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