ML Ops Engineer
2 days ago
Role Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on experience with AWS tools such as SageMaker, Lambda, Bedrock, Batch with Fargate, and infrastructure components like RDS, DynamoDB, and SQS. You will be responsible for automating CI/CD workflows, managing auto-scaling APIs, and provisioning cloud resources to support high-performance ML workloads, including RAG systems.Primary Responsibilities:Strategizing and implementing scalable infrastructure for ML or LLM model pipelines using tools like and cloudservices such as AWS (e.g.,AWS Batch, Fargate,Bedrock)Manage auto-scaling mechanisms to handle varying workloads and ensure high availability of Rest APIsAutomate CI/CD pipelines and Lambda functions for model testing, deployment, and updates, reducing manual errorsand improving efficiency.Amazon SageMaker Pipelines for end-to-end ML workflow automation. Optimize utilizing step-functionsConduct drift analysis to detect and respond to data drift, concept drift, and label drift. Implement mitigation strategies such as automated alerts, model retraining triggers, and performance audits.Set up reproducible workflows for data preparation, model training, and deployment.Provision and optimize cloud resources (e.g., GPUs, memory) to meet computational demands of large models like those used in RAG systemsAutomate retraining workflows to keep models updated as data evolvesWork closely with data scientists, ML engineers, and DevOps teams to integrate models into production environments.Implement monitoring tools to track model performance and detect issues like drift or degradation in real- time. Monitoring dashboards with real-time alerts for pipeline failures or performance issues C Implementing ModelObservability frameworks.Required Skills:Education Any Engineering (BE/Btech/ME/Mtech)Min 4 years of experience with AWS services such as Lambda, Bedrock, Batch with Fargate, RDS (PostgreSQL), DynamoDB, SQS, CloudWatch, API Gateway, SageMakerShould have hands-on experience in drift analysis, including detecting and mitigating data, concept, and label drift in production ML systemsKnowledge of ML frameworks (e.g., PyTorch, TensorFlow) to understand model requirements during deploymentExperience with Rest API Frameworks like Fast APIs, FlaskFamiliarity with model observability like Evidently, Nanny ML, Phoenix and monitoring tools (Grafana etc) and retraining tools like MLflow/ Kubeflow / AirflowAWS Certified Machine Learning – Specialty – Good to have this certification
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Ml ops engineer
3 weeks ago
Bangalore, India Aurigo Software Technologies Full timeRole Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on...
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Ml ops engineer
2 weeks ago
Bangalore, India Aurigo Software Technologies Full timeRole Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have...
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ML Ops Engineer
1 week ago
bangalore, India Mastech Digital Full timePosition Title: ML Ops Engineer 4Complete onsite.Full-Time role Shift Timings: 10-7 pm /11-8 pm /12-9 pmAddress: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.Job Description:Roles & Responsibilities:Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model...
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ML Engineer/ML ops
2 weeks ago
bangalore, India Tiger Analytics Full timeSenior ML Engineer (ML Ops)Chennai / 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 & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of...
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ML Engineer/ML ops
2 weeks ago
Bangalore, India Tiger Analytics Full timeSenior ML Engineer (ML Ops) Chennai / Bangalore / Hyderabad Who we are Tiger 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 & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries...
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ML Ops Engineer
2 weeks ago
bangalore, India Wenger & Watson Full timeExperience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey ResponsibilitiesDesign, develop, and deploy machine learning models using AWS SageMaker for various business applicationsImplement end-to-end ML pipelines from data preprocessing to model serving and monitoringBuild and maintain automated model training, validation, and...
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Devops engineer- ml framework
3 weeks ago
Bangalore, India ITC Infotech Full timeJob Opportunity Dev Ops and ML framework at ITC Infotech ???? Location: Bangalore Experience Required: 4-7 Years Job Type: Full-Time Budget: 0 - 22 lacs only Notice period: Immediate to 15 days only. Job Title Dev Ops and ML framework Job Description Dev Ops Engineer with Machine Learning Framework Expertise Proficient in Python programming...
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ML Ops Engineer
1 week ago
bangalore, India GTT Data Solutions Ltd Full timeRole & Responsibilities: Good knowledge of Azure and Databricks cloud platform and services. Strong hands-on experience in end-to-end ML solution orchestration for – 1) Data/Feature Engineering, 2) Model Training/Inferences, 3) Real-time/Batch Processing. Hands-on experience in backend development using FastAPI. Very good knowledge of MLOps concepts like...
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ML Ops Engineer
2 weeks ago
bangalore, India GTT Data Solutions Ltd Full timeRole & Responsibilities:Good knowledge of Azure and Databricks cloud platform and services. Strong hands-on experience in end-to-end ML solution orchestration for – 1) Data/Feature Engineering, 2) Model Training/Inferences, 3) Real-time/Batch Processing. Hands-on experience in backend development using FastAPI. Very good knowledge of MLOps concepts like...
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Lead ml engineer
4 weeks ago
Bangalore, India ANSR Full timeAbout 4flow: Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world. 4flow develops and implements lean, agile and sustainable supply chain...
