About the RoleAs a GenAI MLOps Engineer on our AI Engineering team, youll build, deploy, and maintain the core infrastructure that powers our generative-AI products. Youll partner closely with data scientists and software eng...

Role & responsibilities We are looking for MLOps/ML Engineer with Dataiku DSS platform with MNC company for permanent position, Remote.Preferred candidate profile We are seeking a skilled MLOps/ML Engineer to serve as ...

We're hiring experienced professionals in our growing Data science Practice at EY GDS Hyderabad Office. We are looking for talented professionals to join our team. Below are the details for the open positions:Position: ...

Senior xOps Specialist AIOps, MLOps & DataOps Architect Location: Chennai, Pune Employment Type: Fulltime - HybridExperience Required: 12-15 years Job Summary: We are seeking a Senior xOps Specialist to architect, impl...

Sr MLOps EngineerExperience: 5 - 7 Years ExpSalary : 15 to 20 LPAPreferred Notice Period: Within 30 DaysShift: 10:00AM to 7:00PM ISTOpportunity Type: Hybrid (Ahmedabad)Placement Type: Permanent(*Note: This is a requirement fo...

Hello Visionary!We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact...

Strong understating of Python, ML concepts and frameworks, Fast API, Graph QLExperience in developing scalable APIs.Knowledge of AWS, preferred services are storage, EC2, KubernetesExposure of ML best practices, documentati...

Job Summary:We are looking for a highly capable and automation-driven MLOps Engineer with 2+ years of experience in building and managing end-to-end ML infrastructure. This role focuses on operationalizing ML pipelines using ...

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and mon...

JOB DESCRIPTION Senior MLE / Architect MLE (ML Ops) Chennai / Bangalore / Hyderabad (Hybrid) Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. W...

Machine Learning & Data PipelinesStrong understanding of Machine Learning principles, lifecycle, and deployment practicesExperience in designing and building ML pipelinesKnowledge of deploying ML models on AWS Lambda, EK...

We are looking for a highly motivated individual who can develop cutting edge MLOps and DevOps frameworks to deploy AI models. The candidate should have a solid grasp of state-of-the-art cloud technologies, best in ...

Role & responsibilities We are looking for MLOps engineer position for MNC company permanent position for Hyderabad location.Preferred candidate profile Primary skill : AWS MLOPS Secondary Skill : Python-Automating AI...

Mandatory skill : MLOps with Azure Databricks / Devops A person who has exposure to Models/MLOps eco-system having exposure to Model Life Cycle Management, with primary responsibility being ability to engage with stakeholders...

Role & responsibilities Proven experience as a Site Reliability Engineer (SRE) or in a similar role.Strong knowledge of machine learning concepts and workflows.Proficiency in programming languages such as Python, Java, or...

  Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models Develop and maintain CI/CD...

Sr. Executive DevOps & MLOps Engineer Godrej AgrovetMumbai, Maharashtra, India--------------------------------------------------------------------------------------------------------------------------------------Job Title...

Extensive knowledge in machine learning concepts, models and algorithmsGood knowledge on Machine Learning Operations or Development OperationsGood knowledge on software engineering DevOpsWell versed in major machine learning ...

Experience - 8 - 10 yearsLocation - BengaluruKey ResponsibilitiesDesign, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring.Build and manage LLMOps pipelines for fine...

Curious about the role? What your typical day would look like? 6+ years of relevant DS experience Proficient in a structured Python Proficient in any one of cloud technologies is mandatory (AWS/ Azure/GCP) Follows good so...

Role Overview We are seeking a Software Engineer with MLOps skills to contribute to the deployment, automation, and monitoring of GenAI and LLM-based applications . You will work closely with AI researchers, data ...

Model Deployment and Management:Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale.Monitor real-time performance of deployed models, analyze data, and pr...

Exp Range- 4 to 12YearsLocations- PAN IndiaKey Responsibilities:1. Design, implement, and maintain end-to-end ML pipelines for model training, evaluation,and deployment2. Collaborate with data scientists and software engineer...

Exp Range- 4 to 12YearsLocations- PAN IndiaKey Responsibilities:1. Design, implement, and maintain end-to-end ML pipelines for model training, evaluation,and deployment2. Collaborate with data scientists and software engineer...

MLOps & GenAI - Senior/LeadExperience: 7 to 13 yearsLocations: Chennai, Bangalore, HyderabadAs a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovat...

Role: MLOps EngineerLocation: 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, Terraf...

Responsibilities :1. Strategic Leadership :a. Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, ...

Responsibilities :1. Strategic Leadership :a. Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, ...

Responsibilities :1. Strategic Leadership :a. Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, ...

Responsibilities :1. Strategic Leadership :a. Define and drive the overall ML Ops strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, ...