8 Model Repository Jobs

Role Overview: You will be responsible for building the machine learning production System (MLOps) and deploying state-of-the-art AI solutions for Fractal clients. This is an exciting opportunity for an experienced server-side developer to work in a challenging and innovative environment. 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 - Enable Model tracking, model experimentation, and Model automation - Develop scalable ML pipelines - Develop MLOps components using ...

As a Machine Learning Operations (MLOps) Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system to enable Fortune 500 companies to transition into AI-driven organizations. Your responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and model operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Developing scalab...

You will be responsible for building the machine learning production System (or MLOps) and deploying state-of-the-art AI solutions for Fractal clients. As an MLOps Engineer, you will collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling Model tracking, model experimentation, Model automation - Developing scalable ML pipelines - Developing MLOps components in the Machine learning development life cycle using Model Repository (e.g., MLFlow, Kubeflow Model Registry) - Working across all phases of the Model development life cycle to build MLOPS components - Building the knowledge ba...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

As an MLOps Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system and deploying state-of-the-art AI solutions for clients. You will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Working across all phases of model development to build MLOps components - Developing the knowledge base requi...

As an MLOps Engineer at Fractal Analytics, you will be tasked with collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Utilizing Machine Learning Services like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Working across all phases of the model development lifecycle to construct MLOPS components - Establishing the kno...

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. As an MLOps Engineer, you will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Buildin...

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this...