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- ...Familiarity with Docker, Kubernetes, and microservice-based architectures • Experience with tools such as MLflow, LakeFS, MinIO, and NATS for asynchronous communication • Knowledge of database design and best practices • Understanding of RBAC and authentication mechanisms...SuggestedFull time
- ...models in production.Key Responsibilities : - Design and manage cloud-native ML platforms... ...ML frameworks (TensorFlow/PyTorch/Scikit-learn).- Expertise with Docker, Kubernetes, Git,... ...Education : - Masters degree in Computer Science, Machine Learning, Data Engineering, or related...SuggestedFlexible hours
- ...MLOps Engineer with a strong background in machine learning infrastructure, DevOps practices, and... ...and monitoring.Key Responsibilities :- Design, build, and manage scalable MLOps pipelines... ...of ML models into production systems.- Develop and maintain CI/CD workflows for...SuggestedHybrid workWork at office
- JD: Required Qualifications: Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines. Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing model registries. Cloud Proficiency: Hands-on...SuggestedFull time
- ...seeking a Senior MLOps Engineer to lead the design and scaling of enterprise-grade ML... ...in building robust, production-ready ML systems. This role requires deep expertise in MLOps... ...Experience with feature stores, federated learning pipelines, and model observability platforms...SuggestedHybrid work
- Note : If shortlisted, you will be invited for initial rounds on 7th February 2026 (Saturday) in GurugramMLOps Engineer :- 4+ years of work experience in Software Engineering and MLOps- Development experience on AWS, AWS Sagemaker required.- AWS Data Zone experience is preferred...Suggested
- ...applied DevOps principles to Machine Learningbuilding CI/CD pipelines... ...:- ML Pipelines : Design and build CI/CD pipelines specifically... ...to support containerized deep learning applications (managing GPU resources... ...Implement monitoring for both system health (CPU/Memory) and Model...SuggestedCasual work
- ...is dedicated to exploring, evaluating, designing, and implementing cutting-edge solutions... ...Team plays a critical role in bringing Machine Learning (ML) and Artificial Intelligence (AI) solutions... .... ~ Design dashboards to monitor a system. ~ Collect metrics and create...SuggestedFull timeLocal areaFlexible hours
- ...We are seeking an experienced MLOps Engineer to design, build, and operate scalable, production-grade machine learning platforms and pipelines. This role focuses on... ...experiments, and notebooks into robust, scalable systems. Deployment & Automation Containerize and deploy...SuggestedFull timeWeekday work
- ...DataOps Engineer to productionise and operate machine learning and data pipelines used in live public-sector forecasting systems. This role sits at the interface of research and... ...research work.Key responsibilities :- Design, implement, and operate end-to-end ML and data...SuggestedOngoing contractHybrid workImmediate start
- ...leading technologists in data engineering, machine learning, and AI product development to build and... ...:- Infrastructure Enablement : Design, provision, and optimize infrastructure... ...appropriate logging, monitoring, and alerting systems.- CI/CD for Data & ML : Develop CI/CD pipelines...Suggested
- Job descriptionMLOps Responsibilities :1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes...Suggested
- ...build, and operationalize the deep learning platform for large‑scale computer vision systems. This role is ideal for someone... ...capabilities by architecting the machine learning platform that powers automated... ...across the organization. Design and implement end‑to‑end ML...SuggestedFull timeRemote jobWorldwide
- ...high-quality software solutions working on Machine Learning projects and some Agentic Pipelines that... .... Key responsibilities ~ Design and implement the pipelines fortrainingand... ...time. ~ Design dashboards tomonitora system. ~ Collect metrics and create alerts...SuggestedFull timeLocal areaFlexible hours
- ...models in production.Key Responsibilities:- Design and manage cloud-native ML platforms... ...ML frameworks (TensorFlow/PyTorch/Scikit-learn).- Expertise with Docker, Kubernetes, Git,... ...Education:- Masters degree in Computer Science, Machine Learning, Data Engineering, or related...SuggestedFlexible hours
- .... Key Responsibilities: MLOps as Code & Orchestration Design and implement MLOps as Code methodologies. pipelines infrastructure... ...and automated (GitOps). Manage and optimize deep learning orchestration platforms (specifically Valohai or similar tools like...Full timeHybrid workLocal area
- ...independently, and deliver results on scalable deep learning infrastructure, optimize massive data... ...and hybrid Kubernetes clusters to designing efficient data loaders for multimodal training... ..., unit test durations, and overall system health. ●Manage dependency updates (Torch...Full timeHybrid work
- ...for a seasoned Staff MLOps Engineer to lead the design, implementation, and scaling of enterprise-grade machine learning platforms on AWS . This role will focus on building reliable, secure, and cost-efficient MLOps systems that enable data scientists and engineers to deploy...Long term contractTemporary workRemote job
- ...lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit... ...products — we're creating a new credit system that backs the working, whatever they're... ...a year. What you'll be doing Design and Implement Scalable MLOps Infrastructure...Remote jobFull timeWork at officeWork from homeFlexible hours
- ...MLOps pipelines, ensuring seamless integration and delivery of machine learning solutions.The ideal candidate will collaborate with... ...pipelines, ensuring best practices and operational excellence.- Design, implement, and manage scalable ML pipelines using Azure ML, Databricks...Hybrid work
- ...solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member... ...and cloud architects to implement and maintain production-grade machine learning infrastructure using best practices in MLOps, CI/CD, and cloud...Contract workFlexible hours
- ...Python backend engineering expertise to design build and manage scalable ML and AI platforms... .... Build and deploy multi-agent systems using frameworks like LangChain CrewAI or... ...Information : Our Perks and Benefits: Learning Opportunities: Certifications in AWS (...Full timeRemote jobFlexible hours
- ...infrastructure architecture and AI platform design to guide how teams build and ship ML... .... Design observability and monitoring systems for ML/GenAI workloads. Collaborate with... ...-on experience mentorship and continuous learning opportunities Work with the best Join...Full time
- Machine Learning Engineer Start Date... ...global technology leader in Electronic Design Automation software. Our software tools... ...increasingly complex world of chip, board, and system design. About the Group: Join a dynamic...Hybrid workImmediate startWork from home1 day week
- ...checks, feed scoring, and portfolio intelligence.You will work on systems that decide, score, suppress, and trigger actions - under latency... ...ML models for classification, scoring, and anomaly detection- Design offline + online feature pipelines- Combine rules, heuristics, and...
- ...We are looking for a Machine Learning Engineer to operationalize models and build scalable ML systems on AWS for financial applications. This role focuses on production-grade... ...for batch and real-time inference. Design feature stores training pipelines and model registries...Full timeHybrid workRemote job
- .... Time-series forecasting3. Anomaly detection and recommendation systems- Apply model evaluation techniques (cross-validation, bias-variance... ...Technical Skills :- Programming : Python (NumPy, Pandas, Scikit-learn)- ML Libraries : XGBoost, LightGBM, TensorFlow / PyTorch (working...Hybrid workImmediate startRemote job
- ...seeking a highly experienced and skilled Machine Learning Software Engineer with 8-10 years of... ...- Experience with hardware-aware model design and co-design.- Knowledge of compiler technologies... ...- Experience with real-time or embedded systems.- Knowledge of cloud platforms (AWS, GCP...
- Description :Title : Machine Learning Developer.Location : Pan India.Experience : 8+ Years.Role Overview :We are looking for an experienced Machine... ...ability in requirement elicitation, analysis, and solution design.- Strong foundation in statistics and analytical techniques.-...
- ...trains metros monorails and trams to turnkey systems services infrastructure signalling and... ...Alstom announces an opening for a Machine Learning Engineer. This position supports Alstom... ...engineers DevOps/MLOps engineers and HMI designers/storytellers. Well look to you for:...Long term contractFull timeWorldwideFlexible hoursShift work