AI/Machine Learning Engineer
First seen by Alion on Sep 21, 2026.
Job Description :
- Design, implement, and manage MLOps workflows, tools, and operational processes for AIML solutions.
- Oversee the day-to-day stability, reliability, and operational health of ML models and ML pipelines.
- Manage model lifecycle operations, model registration.
Experience and Skills :
- Experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
- Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards.
Key Responsibilities :
- Architect and deploy robust machine learning pipelines to automate data processing and model training for large-scale enterprise applications.
- Collaborate with engineering teams to integrate AI models into production environments, ensuring high availability and performance.
- Optimize existing algorithms to improve predictive accuracy and reduce latency, directly impacting the quality of customer-facing insights.
- Mentor junior engineers and conduct code reviews to maintain high standards of technical excellence and best practices across the development lifecycle.
- Partner with business units to identify opportunities for AI implementation, translating business requirements into technical specifications that deliver measurable ROI.
Skills
Artificial Intelligence, Machine Learning, MLOps, IT Automation, Power BI, Tableau, Databricks, Azure, Algorithm