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- Description : - Design and manage cloud-native ML platforms supporting training, inference,... ...ML frameworks (TensorFlow/PyTorch/Scikit-learn).- Expertise with Docker, Kubernetes, Git,... ...Education : - Masters degree in Computer Science, Machine Learning, Data Engineering, or related...Suggested
- ...Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and... .... Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with...Suggested
- ...Retrieval Augmented Generation (RAG), and Generative AI infrastructure. This role focuses on building and scaling production-grade LLM systems, designing RAG pipelines, managing vector databases, and implementing enterprise MLOps practices for AI applications.If you have deployed...SuggestedRemote job
- ...projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in...Suggested
Rs 15 - 45 lakhs p.a.
...: Build containerized ML pipelines (Docker, Kubernetes/EKS) Design and implement ML Training Pipelines Implement CI/CD for model... ...scaling, monitoring (Prometheus, Grafana, CloudWatch) Maintain 99.5% system uptime and Must-Have Skills : Strong Kubernetes (EKS)...Suggested- ...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
- ...looking for an experienced AWS MLOps / DevOps Engineer to design automate and optimize machine learning and data workflows on AWS. You will play a central role... ...model deployment to real-time endpoints and batch systems. Establish model monitoring including data drift model...SuggestedFull timeLocal areaRemote jobFlexible hours
- ...include - deploy, manage, and optimize machine learning models in production environments, ensuring... ...with key business stakeholders Design, develop and deploy complex AI/ML solutions... ...design. Experience with version control systems (e.g., Git). Understanding of data...SuggestedLong term contractFull timeWork at officeWork from homeFlexible hours
- ...and make your mark on the payments technology landscape of tomorrow. RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and...SuggestedRemote jobWorldwide
- ...required to deploy, monitor, and scale machine learning models in production. This role involves... ...product offerings.Key Responsibilities :- Design and implement robust CI/CD pipelines for... ...seamless integration with existing systems.- Automate data ingestion, transformation...Suggested
Rs 5 - 8 lakhs p.a.
...using AWS Sagemaker, Cloud formation, Kubernetes, docker Well-versed in data structures, data modelling, and database management systems, model onboarding, automated model training, model versioning and governance Experience in creating Infra as Service Experience...Suggested- ...Engineer to support the development deployment and optimization of machine learning services in a cloud-native environment. This role focuses on... ...CI/CD pipelines. ~ Understanding of distributed systems container orchestration and cloud-native architectures. ~...SuggestedContract work
- ...responsible for building, deploying, and maintaining scalable machine learning pipelines and production-grade ML systems. The role requires strong programming skills, hands-... ...and system architecture.Key Responsibilities :- Design, build, and maintain end-to-end ML pipelines from...Suggested
- ...responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production environments. Your expertise will... .... Key Responsibilities: • Monitor model serving systems and address performance or latency issues. • Ensure ML pipelines...SuggestedFull timeHybrid workRemote job
- ...based ML deployments. The ideal candidate will build, automate, and optimize scalable machine learning pipelines and deploy models into production environments.Key Responsibilities : - Design, build, and maintain end-to-end ML pipelines- Deploy and manage machine learning...Suggested
Rs 21 - 35 lakhs p.a.
...Experience in Machine Learning (R&D) for development, optimization, and automation. Develop and implement AI models, algorithms, and applications... ...training. Integrate AI solutions into existing software systems and manage the infrastructure and pipelines for deploying...- ...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 alerts...Full timeLocal areaFlexible hours
- ...Automate scheduled retraining workflows Azure Cloud & Infrastructure :- Design and maintain ML infrastructure on Microsoft Azure (Azure ML, AKS,... ...Prometheus, Grafana, Azure Monitor- Track inference metrics, system health and model performance- Ensure high availability and fault...Flexible hours
- ...Google Cloud's Vertex AI. Key Responsibilities: ● Pipeline Automation: Build and maintain automated CI/CD pipelines for Machine Learning workflows. ● Vertex AI Setup: Architect and manage the ML infrastructure on Google Cloud Platform (GCP) Vertex AI. Set up a 'Feature...Immediate startRemote job
- ...(Onsite in Hyderabad/Bangalore if required) Your Role: - Design ML pipelines using Kubeflow, MLflow, and SageMaker - Automate... ...: Experience with A/B testing, serverless ML, or federated learning Want to work on cutting-edge AI projects Apply now & become...Long term contractContract workTemporary workFreelanceRemote job
- ...world and taking care of our planet. To learn more visit: Job Description... ...Engineer is a developer with solid experience in systems management, agile methodology, and operational... ...Actions, automated testing RESTful API design and implementation following industry...Full time
- ...Algorithms (Decision Trees, Deep Learning, SVM, Clustering,... ...We are seeking an experienced Machine Learning Engineer / MLOps Engineer... ...operations, scalable infrastructure design, and hands-on expertise in... ...to support enterprise-scale ML systems. Convert offline models built...Immediate start
- .... 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
- ...MLOps Engineer II, you will play a key role in designing, building, and operating scalable and reliable machine learning platform and production inferencing. - You will... ...contribute to advanced initiatives such as Agentic AI systems and MCP servers, helping the team adopt emerging...Long term contractFull time
- ...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...Casual work
- 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...Full time
- ...development and operation of automation tools and dashboards within our Machine Learning Platform and Search infrastructure. This role is critical in... ...data pipelines.Responsibilities :Web UI Development :- Design and implement web-based dashboards for real-time monitoring of...For contractors
- ...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...Full time
- ...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 pipelines...Full timeRemote job
Rs 2 - 11 lakhs p.a.
...extensions to support ongoing data science workstreams. Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams. Act as the internal infrastructure expert, collaborating with data scientists to guide and...
