Average salary: Rs140,000 /yearly
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- Experience in Machine Learning (R&D) for development, optimization, and automation. Develop and implement AI models, algorithms, and applications from scratch to meet project requirements and business goals. Collect, analyze, and preprocess large datasets to extract meaningful...Suggested
- ...Job Description: We are seeking an experienced MLOps Engineer to design implement and maintain scalable machine learning pipelines and infrastructure The ideal candidate will bridge the gap between data science and production systems ensuring robust deployment monitoring...SuggestedHybrid work
- Description :As an ML-Ops Engineer at SeekRight AI, you will be instrumental in bridging the gap between our data science and engineering teams. You will be responsible for building and maintaining the infrastructure and processes required to deploy, monitor, and scale machine...Suggested
- ...Roles and Responsibilities: Minimum of 4 to 16 years of relevant work experience as MLOps engineer Strong hands on Experience in managing reproducible AI/ML CICD pipeline using AWS Sagemaker, Cloud formation, Kubernetes, docker Well-versed in data structures, data...Suggested
- ...Position: MLOps Engineer Company: WillWare Technologies Location: Bangalore Work Mode: WFO Required Qualifications: Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines. Model Lifecycle: Expert-level knowledge...SuggestedFull timeHybrid workLocal area
- ...global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the... ...Asia Pacific region. Job Description As a Senior MLOps Engineer in the Perception team, you will play a pivotal role in...SuggestedFull timeHybrid work
- Description :Position : MLOps EngineerExperience : 7+ YearsLocation : BengaluruWork Mode : Hybrid (Work From Office)Job Description :We are seeking a highly skilled and experienced MLOps Engineer with a strong background in machine learning infrastructure, DevOps practices,...SuggestedHybrid workWork at office
- We are seeking a Senior MLOps Engineer to lead the design and scaling of enterprise-grade ML infrastructure. You will architect end-to-end ML lifecycle automation and guide teams in building robust, production-ready ML systems. This role requires deep expertise in MLOps tools...SuggestedHybrid work
- Description :We are looking for an MLOps Engineer to join our team. In this role, you will bridge the gap between Data Science and Operations. We are not looking for a generalist software engineer; we need someone who has specifically applied DevOps principles to Machine Learningbuilding...SuggestedCasual work
- ...improvement, where every team member can contribute and thrive. As a ML Engineer, you will be crucial in developing advanced algorithms and models... ...databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes)...Suggested
- JD: Required Qualifications: Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines. Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing model registries. Cloud Proficiency: Hands-on...SuggestedFull time
- Description :Title - Senior MLOps / DataOps EngineerExp - 3 to 8 yearsLoc - Bangalore (Hybrid)NP - Immediate to 20 daysSkills : Python,... ..., RAGAbout the role :We are looking for a senior MLOps / DataOps Engineer to productionise and operate machine learning and data pipelines...SuggestedOngoing contractHybrid workImmediate start
- ...reliability. You will partner with leading technologists in data engineering, machine learning, and AI product development to build and... ...and ML serving environments using best practices in DataOps and MLOps.- Collaboration : Work closely with Data Platform, ML Platform,...Suggested
- ...Job Description Staff MLOps Engineer : Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world‑class manufacturing and services...SuggestedFull timeRemote jobWorldwide
- ...Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring... ...Stack . Collaborate closely with Data Scientists and DevOps engineers to ensure seamless integration of models into production systems...Suggested
- ...the global R&D network for BD in product development and product engineering for global markets. This center leads design, development and... ...Key Responsibilities Design and implement robust, scalable MLOps pipelines on Azure Databricks Automate data ingestion, preprocessing...Remote jobWorldwideFlexible hoursShift work
- ...Job Opening: MLOps Engineer Location: Bangalore Employment Type: Full-time (Hybrid) Role Overview We are looking for an experienced MLOps Engineer to manage and optimize the complete machine learning lifecycle. The role involves supporting large-scale distributed...Full timeHybrid work
- Description :About the Role :We are hiring a Senior MLOps Engineer (REMOTE) with deep expertise in Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI infrastructure. This role focuses on building and scaling production-grade LLM systems, designing...Remote job
- Join us as a Principal Engineer This is a challenging role that will see you design and engineer software with the customer or user experience... ...Azure or AWS or GCP, Docker, and Kubernetes A background in MLOps tooling and Automation using MLflow, Azure ML, SageMaker, Vertex...
- Description : We are looking for a seasoned Staff MLOps Engineer to lead the design, implementation, and scaling of enterprise-grade machine learning platforms on AWS . This role will focus on building reliable, secure, and cost-efficient MLOps systems that enable data scientists...Long term contractTemporary workRemote job
- Description :Kenvue Is Currently Recruiting for a Lead MLOps Engineer.What We Do : At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, were the house of iconic brands including NEUTROGENA, AVEENO, TYLENOL...Hybrid work
- ...and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our... ...Azure or AWS or GCP, Docker, and Kubernetes A background in MLOps tooling and Automation using MLflow, Azure ML, SageMaker, Vertex...Hybrid workFlexible hours
- ...tomorrow today. Get to know us at and on LinkedIn X YouTube and Facebook Inviting applications for the role of Lead Consultant - MLOps Engineer! In this role you will define implement and oversee the MLOps strategy for scalable compliant and cost-efficient deployment of...Full timeContract work
- Description:MLOps Engineer - AWS Workflow SpecialistLocation - Permanent Remote with Mandatory 2 Days in a month from Gurgaon/Bengaluru office Role Summary :We are looking for a strong MLOps Engineer (AWS Workflow Specialist) to design, orchestrate, and deploy end-to-end machine...Permanent employmentFull timeWork at officeRemote job
- ...communication, and excellent problem-solving skills 3–4+ years of hands-on experience in MLOps or related roles. Education Bachelor's or master's degree in computer science, engineering, or a related field. Roles And Responsibilities Design and implement robust,...
- ...and manage AI/ML pipelines for model deployment, monitoring, and performance tuning. Collaborate with data scientists and software engineers to integrate machine learning models into production systems. Automate deployment, monitoring, and maintenance processes to...
- ...industry expertise, My Client is on a rapid growth trajectory.ABOUT THE ROLE :My Client is looking for a Machine Learning Operations (MLOps) Engineer to bridge the gap between model development and enterprise-scale deployment.In this role, you will be responsible for deploying,...
- ...Overview Design, develop, and manage machine learning operations (MLOps) workflows on the Azure cloud platform. Deploy, monitor, and... ..., and efficiency. Collaborate with data scientists, software engineers, and cloud teams to integrate ML pipelines into business...
- "About the role :We are looking for a MLOps Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will :- Collaborate with data scientists to transition machine learning models...
- ...(AWS, Azure, GCP) and containerization (Docker, Kubernetes). ~ Solid understanding of data structures, algorithms, and software engineering principles. ~ Experience with Natural Language Processing (NLP), Computer Vision, Generative AI (MCPs). ~ Proven track record of...Immediate start
