Senior AI Engineer_ MLOPs_ 5 to 10yrs
Fractal · Bengaluru · onsite · Posted 35d ago
Not disclosed5–10 yrsfulltimeSourced from
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About this role
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
JOB LOCATION:
Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, Noida
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. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.
Responsibilities
As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You'll help automate and streamline Model development and Model operations. You'll build and maintain tools for deployment, monitoring, and operations. You'll also troubleshoot and resolve issues in development, testing, and production environments.
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
We're committed to bringing passion and customer focus to the business.
JOB LOCATION:
Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, Noida
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. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.
Responsibilities
As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You'll help automate and streamline Model development and Model operations. You'll build and maintain tools for deployment, monitoring, and operations. You'll also troubleshoot and resolve issues in development, testing, and production environments.
- 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(AWS, Azure, GCP)/On Prem
- Be an integral part of client business development and delivery engagements across multiple domains.
- 5-10 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 either one AWS, Azure or GCP
- Hunger and passion for learning new skills
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sourced from foundit
Skills
DockerMLOpsgoogle cloud platformamazon web servicesPysparkPythonSQLJavaMicrosoft AzureGITMachine Learning