Senior MLOps Engineer
3 weeks ago
Fractal is seeking a highly skilled Senior MLOps Engineer to join our team. As a key member of our engineering team, you will be responsible for building and maintaining our machine learning production system.
Key Responsibilities:
- Collaborate with data scientists and data engineers to deploy and operate advanced analytics machine learning models.
- Automate and streamline model development and model operations.
- Build and maintain tools for deployment, monitoring, and operations.
- Troubleshoot and resolve issues in development, testing, and production environments.
Requirements:
- 3-12 years of experience building production-quality software.
- Strong experience in system integration, application development, or data warehouse projects across technologies used in the enterprise space.
- Basic knowledge of MLOps, machine learning, and Docker.
- Object-oriented languages (e.g. Python, PySpark, Java, C#, C++).
- Experience developing CI/CD components for production-ready ML pipelines.
- Database programming using any flavors of SQL.
- Knowledge of Git for source code management.
- Ability to collaborate effectively with highly technical resources in a fast-paced environment.
- Ability to solve complex challenges/problems and rapidly deliver innovative solutions.
- Team handling, problem-solving, project management, and communication skills & creative thinking.
- Foundational knowledge of cloud computing either one AWS, Azure, or GCP.
- Hunger and passion for learning new skills.
Education:
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Fractal is a company where people truly believe in what they are doing. We are looking for someone who shares our passion for innovation and is excited about the opportunity to work with us.
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