5 min
The job of an MLOps engineer is to help manage the production machine learning lifecycle. Below, we have listed down the latest MLOps jobs posted last week. But before we get into that, check out a couple of extra data science jobs advertised recently.
Extras:
1| Sr.Manager - Data Science
Location: Noida/Gurgaon
Responsibilities:
- Design the solution for advanced analytics (including Big Data) projects - what technique to use, what tool/technology to use, etc.
- Own the delivery for projects including developing scalable ML models and algorithms and interpreting the output.
- Discuss various opportunities with existing and potential clients at a technical level, among others.
Apply here.
2| Assistant Manager - Data Science
Location: Noida/Gurgaon
Responsibilities:
- Scope out the solution in terms of time, effort, team skills needed.
- Lead the effort on developing new capabilities/offerings/solutions across the firm.
Apply here.
MLoPS
1| MLOps Engineer at Fractal.ai
Location: Bangalore
Responsibilities:
- Operate as well as maintain systems that support the provisioning of new clients, applications, and features.
- Collaborate with the data engineers and data scientists on feature development in order to containerise and build out the deployment pipelines for new modules
- Design, build as well as optimise applications containerisation and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
- Automate applications and infrastructure deployments.
Apply here.
2| Senior MLOps Engineer at Anheuser-Busch InBev
Location: Bangalore
Responsibilities:
- Select an ideal cloud stack for the product. Ensure reliability and cost-saving. Scale the proof of concept product to enterprise-grade application with all the required components for reliability, scalability, monitoring and security.
- Improve the performance and reliability of code. Develop internal tools to improve the productivity of the entire team.
- Operate and maintain systems supporting the provisioning of new clients, applications, and features.
Apply here.
3| Platform Engineer-MLOps at Quantiphi
Location: Mumbai/ Bangalore
Responsibilities:
- Build MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models
- Continuously evaluate the latest packages and frameworks in the ML ecosystem
Apply here.
4| MLOps Engineer at GrayMatter Software Services Pvt Ltd
Location: Karnataka
Responsibilities:
- Work collaboratively with Data Scientists and Data engineers to deploy and operate systems.
- Help automate and streamline the operations and processes.
- Build and maintain tools for deployment, monitoring, and operations.
Apply here.
5| ML (Machine Learning) Ops Engineer at Danaher Digital LLC
Location: Bangalore
Responsibilities:
- Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning-based) and data pipelines.
- Provision and configure secure high-performance computing environments (clusters, storage, API gateways etc ) to support hosting of ML/DL models at scale.
- Collaborate with Data Scientists, Data Engineers, ML Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML/DL model life cycle.
Apply here.
6| MLOps Engineer at Pall India Pvt Ltd
Location: Bangalore
Responsibilities:
- Help build best-in-class Machine Learning infrastructure to enable Danaher’s AI initiatives.
- Lead and drive the deployment, life cycle management and monitoring of Machine Learning (ML) and Deep Learning (DL) models in all stages leading to production.
- Work directly with Data Scientists and the rest of the Data Platform Engineering team to productionise ML/DL models developed for cloud and edge environments.
Apply here.
7| MLOps Engineer at SG Analytics
Location: Hyderabad
Responsibilities:
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure DevOps.
- Work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimise ML and AI services, etc.
Apply here.
8| MLOps DevOps Engineer at AIVID TechVsion
Location: Ahmedabad
Responsibilities:
- Build practices in MLOps that combine Machine Learning, DevOps, and Data Engineering.
- Model & Data Versioning Automated Version Control & tracking of model versions, along with the data used to train it, and some meta-information like training hyperparameters.
- Model output & data validation with proper metrics relevant to each model used in ML algorithms.
Apply here.
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