Description - External MLOps Engineer Experience: 3 to 14 years Location: - Coimbatore (Walkin on 8th..., Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: · Research...
Hands on experience with Azure Machine Learning, Databricks, and Azure DevOps.Strong knowledge of MLOps, including data...
MLOps Engineer Location: Indore Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure..., Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing...
and Azure ML. · AI and MLOps Support: Contribute to AI and MLOps initiatives, working with tools like Azure Databricks... of security best practices and DevSecOps principles · Familiarity with AI and MLOps concepts and tools (e.g., Azure Databricks...
MLOPs Infrastructure Lead Help shape the future of mobility. Imagine a world with zero vehicle accidents, zero..., cloud-native MLOps infrastructure to support the entire ML lifecycle, from experimentation to production deployment Help...
Job Description: "Job Summary: We’re looking for a GCP ML/MLOps Engineering Specialist who is experienced...-MLOps About Company: LTIMindtree is a global technology consulting and digital solutions company that enables...
Job Description: "Job Summary: We’re looking for a GCP ML/MLOps Engineering Specialist who is experienced...-MLOps About Company: LTIMindtree is a global technology consulting and digital solutions company that enables...
relocation assistance at this time About the Role: Design and manage scalable AWS cloud infrastructure for MLOps and DevOps... such as Prometheus, Grafana, and CloudWatch; knowledge of MLOps tools (Kubeflow, MLflow, Ray) is a plus. Experienced in managing cloud...
. Job Overview We are seeking a highly skilled Senior MLOps professional to join our team in Bengaluru. This is a full-time... seamless integration and deployment of ML models. Experience in MLOps to manage infrastructure, tools, and environments...
In order to continue, we need to verify that you're not a robot. This requires JavaScript. Enable JavaScript and then reload the page....
Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do Instrum...
Company : Sarthee Role : ML Ops Engineer Experience : 4+ Years Location - Bangalore Responsibilities: * Design and develop machine learning models for various applications, such as recommendation systems, sentiment analysis, and cont...
tools such as Prometheus and others. Knowledge of MLOps practices and tools. Familiarity with data engineering concepts...
DataOps and MLops Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion...
. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring... analysis, deep learning architectures and data platforms. Experience with MLOps practices and DevOps integration...
, Python, Java, Scala and APIs AI/ML skills and hands-on experience and knowledge with model building and training, MLOps...
demands. Additionally, you will collaborate with architecture, MLOps, LLMOps, and AI governance teams to ensure AI digital.... Compliance and Standards: Ensure adherence to MLOps, AI governance, and industry compliance standards in collaboration...
flow. Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment...
ML platform accelerators, including MLOps, Model Monitoring, and LLM Ops. Design high-performance ML pipelines... with production ML deployments on cloud platforms (AWS, GCP, Azure). Strong background in MLOps, Model Deployment, CI/CD pipelines...
and MLOps for leveraging the same in Cloud and Infra space. Experience with building and implementing distributed observability... and MLOps for leveraging the same in Cloud and Infra space. Experience with building and implementing distributed observability...