Senior Python: OTEL-based graph optimization API + unified telemetry + MLflow monitoring

+ Senior Data Science/ML Engineering support (w/m/d) for a media-industry client · + Deploy ML models into production environments · + Own and manage the full ML model lifecycle (from packaging to monitoring & retraining readiness) · + Build/maintain scalable ML infrastructure on ...

Build pipelines that allow models to be deployed monitored scaled reliably in production environment. · ...

We are seeking a skilled Machine Learning Engineer with hands-on experience in building and deploying end-to-end ML workflows on Databricks. · Design, develop, and deploy scalable end-to-end machine learning pipelines on Databricks · Build · , train, · and optimize ML models usin ...

We are looking for an ML Engineer with expertise in building end-to-end machine learning workflows on Databricks. · ...

Data science solutioning with generative AI fundamentals and predictive modeling. · ...

We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms. · ...

Years · INR (Lacs)/Yearly · Full-time · Full-time · Roles & Responsibility · Experience with cloud computing platforms such as AWS, Azure, and GCP · Experience with big data processing technologies such as Hadoop and Spark · Experience with Agile development methodologies · Prepa ...

We are seeking an experienced Lead Machine Learning Engineer / MLOps Engineer to design build and operationalize scalable ML solutions for production environments This role requires a strong technical leader who can architect end-to-end ML systems implement robust MLOps practices ...

We are looking for a Machine Learning Operations (MLOps) Engineer to build and scale end‑to‑end ML pipelines on Azure Databricks, · drive automation, and operationalize AI/ML models for production.Build & scale MLOps pipelines on Azure Databricks · Automate data ingestion, prepro ...

Roles & Responsibility · Prepare, deploy, monitor, and support all AI/ML models in production. · Design and evolve the teams MLOps platforms and processes. · Experienced with different aspects of ML Lifecycle Activities: · Data collection and preparation · Feature engineering · M ...

As part of BD's AI delivery team lead the development automation and operationalization of both traditional ML and Generative AI solutions using Azure Databricks Mlflow and other cloud services. · Bachelor's or Master's degree in Computer Science Engineering or a related field. · ...

We are seeking a highly skilled MLOps Engineer to design, implement, and manage the infrastructure and deployment pipelines for Machine Learning (ML) systems. The ideal candidate will have deep expertise in CI/CD, container orchestration, cloud platforms, and observability tools ...

Lead the development automation and operationalization of both traditional ML and GenAI solutions using Azure Databricks MLflow and other cloud services. · ...

Design CI/CD pipelines using Cloud Build/GitHub Actions/Jenkins/ArgoCD/Spinnaker. · ...

We are looking for a seasoned ML Engineer (MLOps) to join our team and drive the development and deployment of scalable machine learning solutions. · ...

We are seeking a highly skilled MLOps Engineer to design, implement, and manage the infrastructure and deployment pipelines for Machine Learning (ML) systems. The ideal candidate will have deep expertise in CI/CD, container orchestration, cloud platforms, and observability tools ...

We are seeking a Senior MLOps Engineer to lead the design and scaling of enterprise-grade ML infrastructure. · Lead the design and implementation of scalable MLOps platforms. · Architect end-to-end ML workflows (data ingestion - feature engineering - training - deployment -monito ...

We are seeking a Senior AI Engineer with strong expertise in Generative AI (GenAI), Databricks, and end-to-end ML/LLM systems.You will be responsible for designing, building, and deploying intelligent, · scalable GenAI solutions integrated into enterprise-grade data and analytics ...

Design build maintain end-to-end MLOps pipelines for ML model training testing deployment Collaborate with Data Scientists to productionize ML models in Azure ML Azure Databricks Implement CI/CD pipelines for ML workflows using Azure DevOps GitHub Actions Jenkins Automate infrast ...

We're building a library around generative optimization and need to productize Trace-Bench into a robust, developer-friendly benchmark harness.Your job is to deliver a clean Python runner + CLI, standardized run artifacts, matrix runs (multi-task × multi-trainer), and a minimal G ...