Average salary: Rs1,950,000 /yearly
More statsSearch Results: 267 vacancies
...and analytics.- Monitor the performance and health of the Databricks platform and troubleshoot any issues that arise.- Setup Databricks MLOps- Work with the Unity Catalog to organize, discover, and govern data assets within the Databricks platform.- Define and enforce data...
...Hi All Urgent hiring for MLOps Architect with MNC for Pan India :
Experience: 7 - 12 Yrs
Key Skills Machine Learning, AWS Services
Must have Skills
1. Design and build automated processes to integrate key machine learning models into systems of action, with robust...
...team is at the forefront of innovation, leveraging advanced technologies to solve complex problems and drive business impact.Position : MLOps EngineerExperience Level : 5+ YearsLocation : Bangalore (Work from Office)Job Overview :We are seeking a highly skilled MLOps Engineer...
...Role: MLOPS Engineer Exp: 5-8 yrs
Location: Anywhere in India
Notice Period: Immediate to 15 Days
Primary Skills: Python, Docker, CICD process, GIT
Optional Skills: MLFlow, Airflow, LLM, Kubernetes
Job Description:
AI Platform Engineering : Build an highly...
...Role: MLOPs Engineer Experience: 7+ Years
Mandatory Skills: Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, Airflow, ML pipeline creation, drift monitoring
Roles and Responsibilities:
Strong understating of Python, ML concepts and frameworks...
...the art of possibility leveraging data science.
We have openings for multiple roles which are summarized below:
Job Title : MLOPs Engineer
Location: Gurgaon/ Bangalore
Job Description:
We are looking for an experienced MLOPs Engineer with...
MLOps Engineer
Key words -Skillset
∙AWS SageMaker, Azure ML Studio, GCP Vertex AI
∙PySpark, Azure Databricks
∙MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
∙Kubernetes, AKS, Terraform, Fast API
Responsibilities
∙Model Deployment, Model Monitoring...
...Job Description
~ We are seeking a highly skilled and experienced MLOps Engineer to join our dynamic team. The ideal candidate will have a strong background in Kubernetes, Kubeflow, and programming in Go and Python. This role involves designing, implementing, and maintaining...
...data scientists and ML engineers throughout the ML lifecycle, from model development to production deployment.- Design and implement MLOps pipelines using tools and frameworks like TensorFlow Serving, Kubeflow, MLflow, or similar solutions.- Design, develop, and implement...
Skills Set :- Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, AirFlow, ML pipeline creation, drift monitoring.- Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL.- Experience in developing scalable APIs.- Knowledge of AWS, preferred...
.... Build tools or support business-driven custom transformations for data preparation using Dataiku or code.
5. Implement a complete MLOps practice, including automation, CI/CD, model monitoring, versioning, and drift analysis.
6. Collaborate with data scientists, software...
...Job Title - MLOps Engineer (Machine Learning Development Environment, MLOps, Pachyderm) Location: Bangalore/Pune
Job Description:
As an MLOps Engineer, you will be responsible for the design, development, integration and deployment of frameworks, tools and pipelines...
...Role: Backend Engineer (MLOps/DevOps) Location: Bengaluru (On-site)
Experience: 4+ Years
Job Description:
We are looking for a skilled Backend Engineer with a strong background in MLOps/DevOps to join our team. The ideal candidate will have at least 4 years...
Autonomize, Inc is seeking a highly motivated, driven Senior MLOps Engineer with Python amp; MLOps expertise to join our team on a journey to help organizations scale across the globe.
Autonomize is on a mission to help organizations make sense of the world's data. We help...
Let's create the future together.
At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable...
...and can take initiatives to improve it. You are always curious, and you are humble about what you already know.
Job Description
MLOps is a set of management techniques for the deep learning or production ML lifecycle, formed from machine learning or ML and operations...
...Overview:
The MLOPS Engineer plays a crucial role in integrating and operationalizing machine learning models within the organizations systems and processes. They are responsible for building and maintaining the infrastructure tools and frameworks required to deploy monitor...
...technologies is a bonus
Responsibilities:
~ Work closely with the ML team to plan, build, maintain, and improve an end- to-end MLOps platform on top of KubeFlow for research, model training, logging and model serving
~ Work closely with the ML team, integration team...
This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.
Description
Are you looking to join a team that is among the fastest growing organizations at Amazon Does wearing multiple hats and working in a fast-paced,...
Significant experience with AWS cloud and good understanding of ML tools from other platforms.
Knowledge on ML model development and experience in ML model life cycle management.
Experience in building large scale data processing and ML pipelines.
Knowledge/experience...
