Senior ML Engineer

About Alphanext

Alphanext Technology Solutions is a technology-first global talent partner and product engineering company, helping organisations build scalable technology solutions and deploy highly skilled professionals across domains such as AI, Data Engineering, Cloud, Embedded Systems, and Enterprise Platforms.

With headquarters in London and operational presence across India, Alphanext enables global organizations to hire, build, and scale technology teams faster and more efficiently.

Primary Roles & Responsibilities

• Extensive knowledge in ML engineering / MLOps, including production ownership of deployed models.

• Strong, demonstrable expertise in Azure Machine Learning — workspace administration, compute management, environments, datastores and data assets, model registry, and online and batch endpoint deployment.

• Hands-on expertise with the Azure ML Python SDK and the Azure ML CLI, including authoring jobs, components, pipelines and deployment YAML programmatically.

• Working knowledge of the wider Azure ecosystem: Azure Storage (Blob / ADLS Gen2), Key Vault, Container Registry, Entra ID and managed identities, Azure Monitor and Application Insights, GitHub Actions for CI/CD.

• Advanced Python — modular, tested, production-grade code; packaging; comfort working in a shared repository.

• Docker and containerised model deployment; exposure to infrastructure as code (Terraform).

• Practical experience with a workflow orchestrator — Apache Airflow preferred.

• Experience with Git-based branching, code review and CI/CD for machine learning workloads.

• Experience implementing model monitoring, drift detection and alerting in production.

• Experience implementing Feature store.

Mandatory Technical Skills

ML Ops, Azure ML, Python, Azure ecosystem