are key platforms of Data Platform initiative. Job Description* DevOps Engineer Strong technical expertise in defining... will closely with data scientists, MLOps engineers, and platform teams to enable efficient model development, versioning...
Job Title: Software Engineer, Agentic AI Platform Preferred Location(s): - Chennai, India The Team: AECO Segment..., Agentic AI Platform Team Reports to: Dineshkumar Sarangapani, Distinguished Engineer, Agentic AI Platform At Trimble...
or MLOps is a plus. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines...
, TruLens, MLflow, Python, Java, SQL + Vector DBs. GCP Vertex AI, Google ADK and GCP AI skills MLOps & Cloud MLflow/DVC...
Learning: Build and deploy ML models using Azure Machine Learning, Cognitive Services, and OpenAI APIs. MLOps: Implement...
correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service... orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g...
Job Description: The AI Solution Engineer will design, build, and scale Agentic AI-driven Quality Engineering..., or SDLC tools. Familiarity with cloud-native architectures, APIs, containerization, and MLOps/LLMOps practices. Nice...
AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate..., MLOps engineers, and business stakeholders to build intelligent, production grade systems that power next generation...
AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate..., MLOps engineers, and business stakeholders to build intelligent, production grade systems that power next generation...
Engineer, Databricks Certified Data Engineer, etc) is preferred Required Experience · 10 - 15 years of experience..., microservices, and event-driven systems · Proficient in MLOps and DataOps using MLflow, Kubeflow, and CI/CD pipelines...
in the AML model registry, and automate with Azure Data Factory/Databricks workflows. Engineer robust data connectors (e.g... Gen2, Azure Data Factory, Databricks. Practical MLOps: model versioning, CI/CD, orchestration, monitoring, and rollback...
to AI professionals, fostering a creative, collaborative, and high-performance team environment. MLOps Standardization: Define... and champion best practices for the full MLOps lifecycle, including version control, automated testing, and reproducible deployment...