121 Datarobot Jobs

Role : MLOps Engineer Location - AIA Indore Experience- 3 To 12years 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. ...

Role Overview: You will be responsible for Hadoop Administration, with a focus on maintaining, troubleshooting, and monitoring Hadoop clusters and various components. Your role will involve installing, configuring, and integrating analytical tools with Hadoop. Additionally, you will be expected to troubleshoot application problems across different environments and platforms. Key Responsibilities: - Minimum 4 years of experience in Hadoop Administration, specifically in production support projects - Installation, configuration, maintenance, troubleshooting, and monitoring of Hadoop clusters and components such as HDFS, HBase, Hive, Sentry, Hue, Yarn, Sqoop, Spark, Oozie, ZooKeeper, Flume, and...

Role: MLOps Engineer Location: AIA-Chennai Exp: 4 to 13 years 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’ benefits and usage. Required Experience And Qualificati...

Job Responsibilities: - Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience – design, deploy, operate, and maintain scalable and efficient automated machine learning systems. Monitor and improve performance while accounting for information security, access, model governance, data & model drift, etc. Job Requirements: - 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 language...

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...

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision — to simplify payments for Indian businesses — we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From seamless checkouts to payroll automation, across India, Singapore, and Malaysia, we’ve been engineering a fintech ecosystem that’s redefining how money moves across Asia — and we’re just getting started. Today, that...

Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's...

Job Title: Associate Director / Director – Data Analytics and AI Practice Location: Pune About QKS Group QKS Group is a global research and advisory firm known for its SPARK Matrix™, a globally recognized framework for vendor evaluation and competitive intelligence. We work with leading technology providers and enterprise buyers to deliver deep insights, technology research, and strategic advisory support. Our products and services, including SPARK Plus, SPARK Matrix™, and tailored analyst advisory engagements, help vendors accelerate go-to-market success, improve positioning, and strengthen customer perception through trusted analyst validation. About the Role We are hiring a core technolog...

Job Summary Provide concise and accurate analysis of the WRB business lines using client, product and transaction data. Create visual and actionable insights to be communicated to senior stakeholders. Identify opportunities for innovation and efficiencies in the existing data analytics workflow Build re-usable data and analytics artefacts and work with technology to industrialize and scale solutions Manage Data solutions projects with strong technical and data driven components. Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group's Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including r...

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 ...

Min. 1 year experience Surat, IN Job Description As a Data Analyst, you will work with data from multiple marketing and eCommerce sources to generate meaningful insights. You will support reporting, identify trends, and help improve decision-making through data analysis and basic AI-driven techniques. This role requires strong analytical thinking, attention to detail, and the ability to communicate insights clearly to the team. What We Want You to Do? Collect, clean, and analyze data from multiple sources, including Google Analytics, Google Ads, Meta, Klaviyo, and other marketing platforms. Ensure data quality by applying validation techniques and identifying inconsistencies or errors. Exper...

Role: MLOps Engineer Exp: 3 to 12 years Location: AIA-Pune 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’ benefits and usage. Required Experience And Qualifications Wide experience ...

Description - External Role : MLOps Engineer Location : AIA- Noida Exp: 3 to 12 years 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’ benefits and usage. Required Ex...

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowf...

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowf...

Role : MLOps Engineer Location - AIA Chennai Experience- 3 to 12years 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...

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...

About The Role We are seeking an experienced AI Sales Manager to drive revenue growth for an enterprise-grade AI platform offering advanced machine learning, predictive analytics, and end-to-end AI model lifecycle management. This is a quota-carrying role requiring strong experience in selling AI/ML platforms, data science tools, MLOps solutions, or enterprise analytics software . The ideal candidate will engage data-driven organisations, build relationships with C-level analytics leaders, and close large enterprise deals that enable companies to build, deploy, and operationalize AI applications at scale. Key Responsibilities Take ownership of and exceed quarterly and annual sales quotas for...

Role : MLOps Engineer Location - Gurgaon Experience- 5 To 13years 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. Pro...

Dear Candidates, We are looking for someone with at least 3 Years of experience in Machine Learning. Please find the Job Details as below; JOB PROFILE: Machine Learning Operations (MLOps) LOCATION: Gurugram EXPERIENCE: 3 to 10 Years ROLES & RESPONSIBILITIES: A) 3 to 5 Years Experience in MLOps LLMOps Managed Services production support projects Pipeline Development: Design, build, and maintain CI/CD (Continuous Integration/Continuous Deployment) pipelines for automated model training, testing, and deployment. Automation: Automate workflows for model versioning, experimentation, and model retraining to ensure continuous improvement. Deployment and Integration: Deploy and integrate ML models i...

Dear Candidates, We are looking for someone with at least 3 Years of experience in Machine Learning. Please find the Job Details as below; JOB PROFILE: Machine Learning Operations (MLOps) LOCATION: Gurugram EXPERIENCE: 3 to 10 Years ROLES & RESPONSIBILITIES: A) 3 to 5 Years • Experience in MLOps LLMOps Managed Services production support projects • Pipeline Development: Design, build, and maintain CI/CD (Continuous Integration/Continuous Deployment) pipelines for automated model training, testing, and deployment. • Automation: Automate workflows for model versioning, experimentation, and model retraining to ensure continuous improvement. • Deployment and Integration: Deploy and integrate ML ...

Role Overview: At EY, you will have the opportunity to shape your career uniquely with the global scale, supportive environment, inclusive culture, and advanced technology to bring out the best in you. Your distinctive voice and perspective are crucial in contributing to EY's continuous improvement. Join the team and create an exceptional experience for yourself while contributing to building a better working world for all. Key Responsibilities: - Lead AI strategy and advisory engagements focusing on AI-enabled business transformation, AI/ML operating models, data readiness, infrastructure modernization, and governance. - Collaborate with CxOs and business/technology leaders to evaluate AI m...

That’s a Manager /S enior Manager – AI & Gen AI Strategy role at tier Management consulting org. Role Overview You’ll be part of Strategy & Advisory group, working with global clients to design and scale AI and Gen AI strategies that drive measurable business value. Skills & Expertise Required AI & Gen AI Platforms: Hands-on knowledge of platforms like Azure AI, Google Vertex/Gemini, Amazon Bedrock, OpenAI, IBM Watson, DataRobot, etc. Responsible AI: Strong understanding of ethical and governance frameworks for AI. Strategy Consulting: At least 7–10 years in consulting, shaping data/AI transformation strategies. Technology Insight: Knowledge of IT architecture, Cloud, Mobility, Digital, and ...

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...