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Senior Engineer- MLOPs
1 week ago
Company Overview:
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Job Location:
Bangalore, Pune, Gurgaon, Mumbai, Chennai
Job Description:
Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization.
Job Responsibilities:
As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models.
- Enable Model tracking, model experimentation, Model automation
- Develop scalable ML pipelines
- Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
- Work across all phases of Model development life cycle to build MLOPS components
- Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud
- Azure
- Be an integral part of client business development and delivery engagements across multiple domains.
Job Qualifications:
Required Qualifications:
years experience building production-quality software- Strong experience in System Integration, Application Development or DataWarehouse 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 pipeline.- 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 on Azure- Hunger and passion for learning new skills
Education:
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
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