97 Datarobot Jobs

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Job ID: 41148 Location: Bangalore, IN Area of interest: Retail Banking Job type: Regular Employee Work style: Office Working Opening date: 7 Oct 2025 Job Summary Requirement analysis, setting up data processes / logics and covert existing datasets to the required schemas as per new tool’s requirements Testing & reconciliations, closing data gaps, work with technology for production deployment, User inquiry management and trainings, adoption, Enhancement and change management, etc. Ensuring clarity around priorities and goals for the entire functional area. Manage projects with strong technical and data driven components Work closely with the multiple upstream & downstream teams on program se...

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 ideal candidate for this role, you should have the ability to design and implement cloud solutions, and build MLOps pipelines on cloud solutions such as AWS, MS Azure, or GCP. You should also have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, as well as familiarity with Docker and Kubernetes, OpenShift. Your proficiency in programming languages like Python, Go, Ruby, or Bash, along with a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, will be beneficial for this role. Additionally, your ability to understand tools used by data scientists, and experience with software development and test automatio...

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to delive...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliv...

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...

Role: MLOps Engineer Exp: 6 to 12 years Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a mode...

Role: MLOps Engineer Exp: 6 to 12 years Key Words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a moder...

Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. We are searching for an AI Support Engineer who enjoys working with data and helping users solve complex problems. This is a customer-facing position and will require the ability to interact with customers daily during scheduled working hours or during ...

Role: MLOps Engineer Location: PAN India Key Words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a mode...

We are seeking a highly motivated and knowledgeable No-Code AI & Machine Learning Trainer to deliver a practical, hands-on program that enables students to design, build, and deploy AI/ML solutions using no-code and low-code platforms. The trainer will bridge theory with practice, empowering students to implement machine learning, computer vision, NLP, and automation workflows without writing complex code. Key Responsibilities ● Deliver engaging sessions on AI/ML fundamentals and no-code tools such as Obviously.ai, Peltarion, Teachable Machine, and DataRobot. ● Conduct hands-on training on data preparation, model building, and deployment using cloud-based platforms (Google AutoML, Azure ML S...

Description - External Role : MLOps Engineer Location : Coimbatore Mode of Interview - In Person - Coimbatore Data - 11th Oct 2025 (Saturday) Responsibilities: Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presen...

Description - External Role : MLOps Engineer Location : Coimbatore Mode of Interview - In Person - Coimbatore Data - 11th Oct 2025 (Saturday) Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presenta...

Role : MLOps Engineer Location : Hyderabad Mode of Interview - In Person - Hyderabad Data - 11th Oct 2025 (Saturday) Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’...

Role : MLOps Engineer Location : Hyderabad Mode of Interview - In Person - Hyderabad Data - 11th Oct 2025 (Saturday) Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ ...

Deep hands-on experience with DataRobot (AutoML, MLOps, and advanced capabilities) Strong understanding of ML algorithms, modeling techniques, and evaluation metrics Proficiency in Python, SQL, and data wrangling Ability to explain complex ML outputs to non-technical stakeholders Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹3,000,000.00 per year Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Are you ready for 6 months contract period? Do you have hands-on experience with DataRobot (AutoML, MLOps, and advanced capabilities)? Do you have strong understandin...

Deep hands-on experience with DataRobot (AutoML, MLOps, and advanced capabilities) Strong understanding of ML algorithms, modeling techniques, and evaluation metrics Proficiency in Python, SQL, and data wrangling Ability to explain complex ML outputs to non-technical stakeholders Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹3,000,000.00 per year Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Are you ready for 6 months contract period? Do you have hands-on experience with DataRobot (AutoML, MLOps, and advanced capabilities)? Do you have strong understandin...

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...

Who We Are Elixr Labs is a global tech company at the forefront of AI-led digital transformation across Health-Tech, GovTech, and Edutech. We help organizations innovate, boost efficiency, and scale through h AI-accelerated IT solutions and custom digital products. Our flagship offerings—Banyan (a CC&C solution) and Healthverse (a virtual secondopinion expert)—enhance care delivery and outcomes. We also deliver tailored AIpowered services for hospitals, governments, and educational institutions. Headquartered in Trivandrum, India, with a growing global footprint, we co-create future-ready digital infrastructure with CXOs and institutions, delivering sustainable, people-first innovation. What...

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do You will pla...

Job Description Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. DataRobot accelerates the process of building predictive models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data...