AI Engineer Lead- (MLops)

Role Description
ML Engineer I
Who We Are
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .
The Opportunity
8+ years in ML/AI engineering or DevOps (incl. 4+ yrs production MLOps)
Education: Master's (preferred) or Bachelor's in CS, Software Engineering, or Data Science
About the Role Own the complete MLOps backbone for AI/ML and GenAI solutions — from model packaging and CI/CD delivery through production monitoring. Bridge data-science experimentation and enterprise-scale deployment, and set engineering standards for the Enterprise AI MLOps practice. Key Responsibilities
Design end-to-end pipelines — ingestion, training, evaluation, packaging, versioning, deployment, and monitoring.
Own Jenkins CI/CD (Declarative/Scripted) for Dev → QA → Production with multi-stage gates.
Deploy model-serving APIs on AKS (FastAPI, vLLM); apply ONNX/TensorRT and blue/green rollouts.
Build observability stacks — drift detection (Evidently AI), Prometheus/Grafana, Azure Monitor.
Enforce DevSecOps — zero-credential pipelines via Key Vault + Managed Identity, SonarQube, Trivy/Snyk.
Set MLOps engineering standards and mentor engineers across the practice
What Are We Looking For
7+ years in ML/AI engineering or DevOps with 4+ years operating production MLOps pipelines.
CI/CD & Dev tooling: Jenkins (expert), Azure DevOps, ArgoCD (GitOps); UV, Ruff, Pyrefly, pre-commit.
MLOps & data: Databricks end-to-end (Delta Lake, Workflows, MLflow, Unity Catalog), Airflow, DVC, PySpark.
Serving & infra: FastAPI, ONNX/TensorRT, AKS, Helm, Docker, KEDA, Azure APIM, Terraform.
Security: Key Vault, AAD RBAC, Managed Identity; zero-credential pipeline design
Languages: Python (expert — FastAPI, Pydantic, async), Groovy (Jenkinsfile), Bash, YAML/SQL.
Databases & storage: PostgreSQL, Redis, ADLS Gen2.
A/B testing and canary/shadow deployment experience.
Proven technical leadership, mentoring, and stakeholder communication. Nice to Have
LLM fine-tuning pipelines and large-scale model-serving optimization.
Ray Serve, BentoML for advanced model serving patterns.
Experiment tracking and governance (W&B / Comet ML, Unity Catalog policies).
Multi-cloud or hybrid deployment strategy and cost optimization.
Semiconductor or manufacturing domain experience.
What We Believe
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.
Humility
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
Humanity
Through business, we will better the lives of those less fortunate than ourselves.
Integrity
We honour our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
To support and promote the values of UST.
Comply with all Company policies and procedures
Skills
A/B Testing, Apache Airflow, LLMs, Azure Kubernetes Service

Work arrangement
No