GCP/MLOPS engineer
2 weeks ago
About the Role: We are seeking a hands-on Machine Learning Engineer who will build, deploy and operationalise ML solutions using GCP and Vertex AI. You will partner with data scientists, data engineers, product teams, and cloud infrastructure teams to deliver scalable, production-ready ML systems that drive business impact. Design and build ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, monitoring. Use Vertex AI services such as CustomTraining, AutoML, Vertex AI Pipelines, Model Registry, Feature Store for end-to-end ML lifecycle. Leverage GCP services like BigQuery, Cloud Storage (GCS), Dataflow, Pub/Sub, Cloud Functions, etc., to support ML workflows. Deploy trained models as endpoints (online/batch inference) and set up monitoring for model drift, performance metrics, version control. Apply best-practices in MLOps: CI/CD for ML, containerisation (Docker), orchestration (Kubernetes/GKE or equivalent), infrastructure as code (Terraform/Deployment Manager). Work with cross-functional teams to translate business requirements into ML solutions, document architectures and decisions, ensure security/governance/compliance. Required Skills & Experience: ~5-10 years (or depending on seniority) of experience in ML engineering / software + ML production systems. ~ Hands-on experience with GCP services and especially Vertex AI (training, pipelines, deployment, monitoring). ~ Strong programming ability in Python; experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). ~ Experience in building data pipelines, feature engineering, working with large scale data. ~ Familiarity with model deployment/service architecture (online vs batch), containerisation, orchestration. ~ Good understanding of ML lifecycle, versioning, model governance, monitoring and operational issues. ~ Comfortable collaborating in agile teams and working with product/engineering stakeholders. GCP certification such as Google Cloud Professional Machine Learning Engineer. Experience with GenAI / LLMs and Vertex AI Model Garden or RAG workflows. Exposure to infrastructure as code (Terraform), kubernetes, and cloud security/governance frameworks.
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GCP MLOps Engineer
2 weeks ago
Pune, India VSquare Systems Pvt. Ltd. Full timeAbout the Role:We are seeking a hands-on Machine Learning Engineer who will build, deploy and operationalise ML solutions using GCP and Vertex AI. You will partner with data scientists, data engineers, product teams, and cloud infrastructure teams to deliver scalable, production-ready ML systems that drive business impact.Key Responsibilities:- Design and...
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Pune, India Infometry Full timeLocation : Bangalore, Chennai, Hyderabad, PuneRole : MLOPS GCP Data : 10-19 Summary : We are seeking a highly skilled MLOps Engineer with strong expertise in the Google Cloud Platform (GCP) ecosystem, including Vertex AI, GKE, and LLMOps. The ideal candidate will design, build, and optimize ML pipelines, enabling scalable, reliable, and secure deployment of...
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MLOps Engineer
4 weeks ago
Pune, India Peoplefy Full timePosition : MLOps : 7+ Type : Full-timeJob Summary : We are seeking an experienced MLOps Engineer with 7+ years of professional experience in DevOps, MLOps, or infrastructure engineering. The ideal candidate will have at least 4 years of specialized experience in AI/ML environments. This role is crucial for supporting our AI and ML initiatives, including...
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MLOPS Engineer
5 days ago
Pune, Maharashtra, India Cognizant Full time ₹ 15,00,000 - ₹ 25,00,000 per yearRole: MLOps EngineerLocation: BhubaneswarKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment pipeline, Inference pipeline, Monitoring pipeline,...
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Mlops Engineer
3 weeks ago
Pune, India Whatjobs IN C2 Full timeAbout Position: We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption. Role: MLOps Engineer Location: All...
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MLOps Engineer
3 weeks ago
Pune, India Persistent Systems Full timeAbout Position: We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption. Role: MLOps Engineer Location: All...
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MLOps Engineer
2 weeks ago
Pune, India Persistent Systems Full timeAbout Position: We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption. Role: MLOps Engineer Location: All...
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MLOps Engineer
2 weeks ago
pune, India Persistent Systems Full timeAbout Position: We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption. Role: MLOps Engineer Location: All...
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Python MLOPS Engineer
2 weeks ago
Pune, India Virtusa Full timePython MLOPS Engineer - CREQ Description Role GDT WS Python MLOPS Hadoop Engineer Exp 5+ Location Pune/Hyderabad Role Description ML Engineers who will contribute across the entire ecosystem, including Python batch processes, REST API design, and creation/improvements to CI/CD pipelines. Keys Skills Required Strong Python skills knowledge of any other object...
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MLOps Engineer
2 weeks ago
Pune, India Persistent Systems Full timeAbout Position:We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption.- Role: MLOps Engineer- Location: All...
