Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AI Engineer Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do/Responsibilities As an AIOps/MLOps Engineer Consultant, you will be working in an Azure + Databricks environment:

• Monitor Databricks jobs and clusters — track job run status, cluster utilization, and auto-scaling behavior via Databricks Jobs UI and Azure Monitor, proactively resolving failed or delayed pipeline runs.
• Manage CI/CD pipelines using Azure DevOps — build and maintain automated pipelines (YAML-based) for deploying notebooks, ML models, and Databricks workflows across dev/staging/prod environments using Databricks Repos and Git integration.
• Operate MLflow for model lifecycle management — track experiments, register models in the MLflow Model Registry, manage staging/production transitions, and maintain versioning and lineage.
• Maintain Delta Lake pipelines — ensure data quality, schema enforcement, and ACID compliance across bronze/silver/gold layers feeding into training and inference workloads.
• Monitor model performance and drift — set up automated drift detection (data/concept drift) using Databricks' native monitoring or custom Azure ML integration, triggering retraining pipelines when thresholds are breached.
• Manage compute and cost optimization — configure and right-size Databricks clusters (job clusters vs. all-purpose), leverage autoscaling and spot instances, and monitor Azure cost management dashboards to control spend.
• Implement observability with Azure Monitor & Log Analytics — set up end-to-end logging/alerting across Databricks, Azure ML, and downstream services using Azure Monitor, Application Insights, and Log Analytics workspaces.
• Manage security, access, and governance — configure Unity Catalog for data/model governance, manage service principals, secrets (via Azure Key Vault), and RBAC across workspaces.
• Collaborate on model deployment via Azure ML endpoints — deploy models as real-time or batch endpoints (Azure ML Managed Endpoints or Databricks Model Serving), ensuring scalability and low-latency inference.
• Handle on-call support and incident response — troubleshoot pipeline failures, cluster crashes, or endpoint downtime, using root cause analysis and post-incident reviews to improve pipeline resilience.

The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/ver ticalized sector solutions in software, data, AI, network, and hybrid cloud i nfrastructure. These solutions are powered by engineering for business advantage, transforming mission-critic al operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements Our Industry Solutions offering provides verticalized solutions that transform how clients sell products, deliver services, generate growth, and execute mission-critical operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector. Qualifications A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor Required
• 3-6+ years of experience in DevOps/MLOps/Data Engineering, with at least 1-2 years hands-on with Databricks and Azure
• Strong proficiency in Python and/or Scala, plus SQL for data transformation and querying
• Hands-on experience with Databricks (Jobs, Workflows, Unity Catalog, Delta Lake, Databricks Model Serving)
• Proficiency in Azure ecosystem: Azure DevOps, Azure ML, Azure Monitor, Azure Key Vault, Azure Data Factory
• Experience with MLflow for experiment tracking and model registry management
• Working knowledge of CI/CD practices and Infrastructure as Code (Terraform or ARM/Bicep templates)
• Understanding of ML lifecycle concepts — model training, validation, deployment, monitoring, and retraining Limited immigration sponsorship may be available Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

This may include overnight travel. Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline ; or equivalent experience Preferred Familiarity with containerization (Docker) and orchestration (Kubernetes, if applicable) Analytical ability to manage multiple projects and prioritize tasks into manageable work products Can operate independently or with minimum supervision Excellent written and communication skills Ability to deliver technical demonstrations Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP.

Please see https:

//www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code:

366942 Job ID 366942