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...

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...

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 ...

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, ...

• Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time.cv@capitalplacementservices.comJob Cl...

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, ...

Role: MLOps EngineerExperience : 8 yr to 15 yrLocation: PAN IndiaKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, ...

Dear candidate, Hope you are doing well!We are seeking an experienced Senior MLOps Architect / Lead ML Engineer to design, implement, and maintain end-to-end ML engineering and MLOps solutions. In this role, you will be respo...

MLE/Sr. MLEChennai, Bangalore, HyderabadWho we areTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & so...

no infrastructure exp, only Technical Project Manager profiles. TPM Technical Project ManagerExp 10 + yrsDeliver projects/programmes with business and technical risksBring together, coordinate and energise virtual technolog...

Greetings from Clover Infotech!!!Please review the job details and share the required details if you are interested in proceeding further.If you are not interested, request you to help me reach the right candidate.Job Title: ...

Design, implement, and maintain scalable and reliable MLOps pipelines. Develop and deploy machine learning models using Python. Manage containerized applications using Kubernetes. Implement and manage CI/CD pipelines to au...

Design, implement, and maintain scalable and reliable MLOps pipelines. Develop and deploy machine learning models using Python. Manage containerized applications using Kubernetes. Implement and manage CI/CD pipelines to au...