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- ...Sr. MLOps Engineer with 5+ years of experience to design, automate, and manage the lifecycle of machine learning models. This role is focused on building high-performance... ...: Understand and contribute to the overall system architecture to ensure ML components are modular and...Suggested
- ...platform, tooling, and automation that enable reliable delivery of machine learning solutions. This role is responsible for scalable pipelines,... ...standards.Key Responsibilities :ML Platform & Pipelines :- Design and implement end-to-end ML pipelines for training, validation...Suggested
- ...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
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- ...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
- ...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
Rs 4 - 8 lakhs p.a.
...services (S3, EC2, SageMaker, etc.). Experience with IaC tools like *Terraform* or *CloudFormation*. Understanding of distributed systems and parallel computing for ML pipelines. Soft Skills: Strong problem-solving and analytical skills. Excellent communication...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
- ...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
Rs 10 lakh p.a.
...We are looking for an MLOps Engineer to design, build, and operate production-grade infrastructure and pipelines for Machine Learning (ML), Deep Learning and Generative AI (GenAI... ...solutions. Your primary focus is ensuring these systems are reliable, scalable, observable, and...SuggestedFull timeRemote job- ...join our dynamic team at DHL Supply Chain. In this pivotal role, you will ensure the successful productization and deployment of machine learning algorithms developed by data scientists at scale. You will guide the transition from exploratory data analytics to structured ML...SuggestedPermanent employmentFull timeContract work
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...Suggested- ...and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible.... ...state of art facility. As an MLOps (Machine Learning Operations) Engineer, you... ...science and IT operations. You will design, build, and maintain the infrastructure...SuggestedLocal area
- ...We are looking for a highly motivated Machine Learning Operations Engineer with 3–4 years of experience... .... Key Responsibilities: Design, build, and deploy robust ML pipelines for... ...Implement model monitoring and alerting systems to track performance degradation and drift...Suggested
- ...About the Role: As a Machine Learning Operation Engineer, you will work on deploying, scaling,... ...Onclusive. Your responsibilities: Design and build scalable machine learning services... ...measure and improve services. Manage system currently processing data on the order...SuggestedHybrid workFlexible hours
- ...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
- ...in building, deploying, and maintaining machine learning models within the SAP ecosystem. You will... ...driven insights.Key Responsibilities :- Design and implement robust, scalable, and... ...consultants to integrate ML models into SAP systems, leveraging APIs and other integration technologies...Full time
- ...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
- ...production level, scalable code with Python (or scala)- MLOps/LLMOps, machine learning engineering, Big Data, or a related role.- Elastic search, SQL... ..., CI/CD and workflow orchestration tools.- Distributed systems programming, AI/ML solutions architecture, Micro services...
Rs 4.5 - 8.5 lakhs p.a.
...tools. Monitor, maintain, and optimize deployed AI models. Work with Generative AI technologies including LLMs, RAG, and Prompt Engineering. Apply machine learning algorithms and techniques including LLMs/SLMs, CNNs, RNNs, transformers, and attention mechanisms....- ...role in shaping, deploying, and automating end-to-end machine learning pipelines. Leveraging your expertise in AWS services... ...care deeply about clear communication and impactful ML systems. Key Responsibilities: Design, develop, and maintain robust ML pipelines for...
- Description :Role & responsibilities :- Design, implement, and manage AI/ML pipelines for deployment and monitoring with implementing... ...and software engineers to ensure seamless integration of machine learning models.- Develop automation tools and processes to enhance productivity...
- ...backend deployment services. Knowledge of Go for high-performance systems.Data Systems : - Hands-on experience with Snowflake (as a source... ...at scale with Reliability- ML Areas : Sound Knowledge- Deep Learning : Deployment / Quantization- Coding : Python / Java / Go / Bash...
Rs 8 - 12 lakhs p.a.
...Databricks, FastAPI, and containerized environments using Docker, Kubernetes ~ Deep understanding of CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code (Terraform) ~ Expertise with MLOps tools like MLflow, Kubeflow, or similar for model...WorldwideFlexible hoursRs 8 - 12 lakhs p.a.
...Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model... ...integration of models into production systems. Ensure model governance, reproducibility... ...experience in ML libraries such as scikit-learn , TensorFlow , PyTorch , Hugging Face Transformers...- ...and care. Purpose of the role: To design, implement, and maintain robust MLOps... ...model performance, drift detection, and system health using AWS CloudWatch and custom dashboards... ...analytical techniques, including machine learning and AI, to solve complex business...Permanent employmentFlexible hours
- ...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...Hybrid work
- ...customer-facing AI products across AWS, Azure, and GCP. Job Summary As an MLOps / LLMOps Engineer, you will design, automate, and operate scalable ML and LLM systems on Irth's enterprise Lakehouse platform. You will work closely with Data Science, Engineering, and...Full time
- ...proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with containerization (Docker) and orchestration... .... Preferred Qualifications: Experience with large-scale ML systems and distributed training. Familiarity with GenAI model deployment...Hybrid work
