mlops

Job Description Roles & Responsibilities: Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models. Develop and maintain Python scripts using SageMaker Python SDK and work efficiently in Linux environments. Apply strong understanding of ML concepts and model lifecycle management. Use Docker to build...

Job Description Roles & Responsibilities: Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models. Develop and maintain Python scripts using SageMaker Python SDK and work efficiently in Linux environments. Apply strong understanding of ML concepts and model lifecycle management. Use Docker to build...

Job Description Roles & Responsibilities: Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models. Develop and maintain Python scripts using SageMaker Python SDK and work efficiently in Linux environments. Apply strong understanding of ML concepts and model lifecycle management. Use Docker to build...

Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration...

Lead design and optimization of scalable, secure AWS cloud architectures across compute, storage, networking, and security services. ∙ Build and manage AI/ML pipelines leveraging AWS services like Sagemaker, Lambda, ECS/EKS, Bedrock, and DynamoDB. ∙ Drive automation using IaC tools (Terraform/CloudFormation) and CI/CD pipelines for rapid, reliable...

6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation. Proven track record of delivering enterprise-grade AI/ML solutions in financial services, preferably in compliance, surveillance, or risk domains. Strong coding skills in Python is a must. · Good to have a hands-on design and development...

Experience: 3–5 years Location: Bangalore Notice Period: Immediate / October joiners CTC: 34.5 LPA Mandatory Skills: MLOps, Model Deployment, CI/CD, DevOps, QFlow   Role - MlOps + Dev   NP - Immediate or Oct Joiners. Exp -3-5 Years - G8 Location - Bangalore (Hybrid)   Please share profiles start from Monday only, this is very urgent role.   Attached...

Lead design and optimization of scalable, secure AWS cloud architectures across compute, storage, networking, and security services. ∙ Build and manage AI/ML pipelines leveraging AWS services like Sagemaker, Lambda, ECS/EKS, Bedrock, and DynamoDB. ∙ Drive automation using IaC tools (Terraform/CloudFormation) and CI/CD pipelines for rapid, reliable...

Role Summary We are seeking a Software Engineer with strong Python and MLOps foundations to build, enhance, and stabilize a production-grade AI/ML platform supporting model training, validation, deployment, and orchestration at enterprise scale. This role goes beyond scripting or notebook-driven ML. You will work in a class-based, API-driven, CI/CD-enforced...

Loc: Hyderabad CTC: 73 LPA (15% variable pay) Exp- 10-16 Years NP=Immediate-30days     Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics, and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to...

• Strong experience in Kubernetes/ML Platform/AI Platform (Vertex AI/Azure ML) • Strong experience in cloud Services (GCP/Azure/AWS), preferably GCP. • Expertise in python programming and good coding practices • Experience with any of the orchestration platforms (Kubeflow/Airflow) • Experience with MLFlow/DVC or any other equivalent framework •...

Educational Background: B.Tech/M.Tech, Computer Science, PhD (optional) Requirements: Required Skills: 2 years of minimum working experience as a DevOps engineer. 1 year of minimum experience working closely with an ML team. Experience in creating, deploying, and maintaining centralized KubeFlow infrastructure on top of one or multiple kubernetes clusters...

As an MLOps Engineer, you will be responsible for building and optimizing our machine learning infrastructure. You will leverage AWS services, containerization, and automation to streamline the deployment and monitoring of ML models. Your expertise in MLOps best practices, combined with your experience in managing large ML operations, will ensure our models...

As a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincluding Large Language Models (LLMs)—to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable,...

Skills Required: Python, GCP (Vertex AI, Big Query, Dataproc, Dataflow, Cloud Composer, GKE, Pub/Sub), Vertex AI Pipelines / Kubeflow, MLflow, Feature Store, Docker, Kubernetes, Terraform, Git Hub, Tensor Flow / Py Torch Experience Range: 8+ years with 3 yrs of ML Ops experience Position Summary: The Data Science team is looking for a passionate MLOps...

As an MLOps Engineer, you will be responsible for building and optimizing our machine learning infrastructure. You will leverage AWS services, containerization, and automation to streamline the deployment and monitoring of ML models. Your expertise in MLOps best practices, combined with your experience in managing large ML operations, will ensure our models...

As a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincluding Large Language Models (LLMs)—to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable,...

As a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. You will design, deploy, and operationalize sophisticated modelsincluding Large Language Models (LLMs)—to solve complex business challenges. Collaborating with cross-functional teams, you'll deliver scalable,...

Role Description Job Responsibilities Our team is responsible for building the backend components of MLOps plaBorm on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes. Required Qualifications • Design & build backend components...

About the CompanyEmbitel Technologies is a Volkswagen AG (VW) Group Company. VW is a German multinational automotive manufacturing corporation headquartered in Wolfsburg, Germany. VW is one of the world’s largest automaker by sales. VW sold 10.9 million vehicles in 2019. The group comprises of 12 brands from seven European Countries: Volkswagen, Audi,...