MLOps Engineer - Hyderabad - Digital Back Office

We are looking for MLOps Engineers who will own develop deploy and operate tooling and services around MLOps. · ...

Job Title: · MLOps Engineer (GCP or Azure) · Experience: · 5+ Years · Location: · Hyderabad, · Bengaluru · , · Gurugram, Mumbai, Chennai, Kolkata · Employment Type: · Full-time · Job Summary · Seeking a skilled Machine Learning Engineer/MLOps Engineer with 5+ years of experience ...

We are looking for an experienced MLOps Engineer to bridge the gap between machine learning model development and production deployment. ...

We are looking for MLOps Engineers who will own, develop, deploy and operate tooling and services around MLOps. · ...

MLOps Engineer position at Capgemini involves designing and implementing end-to-end ML pipelines, collaborating with data scientists and software engineers, and optimizing ML infrastructure for performance. · ...

MLOps Engineer responsible for productionizing AI agents and RAG-based systems with strong proficiency in Python for ML workflows and automation. · ...

Job Summary: · We are looking for a skilled MLOps Engineer to design, deploy, and maintain scalable machine learning pipelines in production environments. The ideal candidate will work closely with Data Scientists, DevOps, and Engineering teams to automate ML workflows, manage mo ...

MLOPS Engineer responsibilities include model deployment and monitoring as well as retraining pipelines. The role requires experience in Kubernetes and certain cloud platforms. · ...

Role & Responsibilities · ML Pipeline Development · Design, build, and maintain scalable ML pipelines. · Automate model training, validation, testing, and deployment workflows. · Implement CI/CD for machine learning models. · Model Deployment & Monitoring · Deploy ML models to pr ...

Job Title: MLOps Engineer (GCP or Azure) · Experience: 5+ Years · Location: Hyderabad, Bengaluru, Gurugram, Mumbai, Chennai, Kolkata · Employment Type: Full-time · Job Summary · Seeking a skilled Machine Learning Engineer/MLOps Engineer with 5+ years of experience to design, buil ...

The Platform Drivers team is on the lookout for a dynamic, energetic software engineer who can design, develop, and maintain clean and robust code. As a key contributor to the success of the client's IP, you will be part of a leading team to drive and enhance the client's abiliti ...

We are looking for a skilled Solution Analyst with expertise in MLOps to join our team on a contract-to-hire basis. · Engage with stakeholders to elate requirements and break them into stories for pods. · Collaborate with architects/leads for designs and participate in UAT. · Cre ...

We are seeking a DevOps/MLOps Engineer to manage · cloud infrastructure and ML pipelines for · scalable AI agent systems. · ...

Role & responsibilities · Mandatory Skills: · ML · Python · Mandatory Skills Description:* Strong proficiency in Python with hands-on experience in core ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow). · * Solid foundation in machine learning algorithms and deep learni ...

Role & Responsibilities · ML Pipeline Development · Design, build, and maintain scalable ML pipelines. · Automate model training, validation, testing, and deployment workflows. · Implement CI/CD for machine learning models. · Model Deployment & Monitoring · Deploy ML models to ...

We are seeking a DevOps/MLOps Engineer to manage cloud infrastructure and ML pipelines for scalable AI agent systems. · ...

Key Responsibilities · Work with distributed systems and implement asynchronous programming patterns · Design and develop scalable backend applications using Python · Build and integrate applications leveraging LLMs or traditional Machine Learning techniques · Develop and main ...

The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable, reliable, and cutting-edge Machine Learning Operations (MLOps) platform. · Bachelor's degree Master's degree in Computer Science, Data Science, AI, or rela ...

These engineers will perform hands-on work across · data operations, model monitoring, automation, drift detection, and ML pipeline development. · ...

We are looking for a Senior MLOps Engineer with deep expertise in the Databricks ecosystem to help us build and scale reliable, secure, and automated ML platforms across enterprise environments. · ...

We are looking for an experienced and high-energy ML Ops Engineer to design enterprise architecture and drive solution architecture. · ...