Senior Engineer AIOps [T500-21236]

About Albertsons Companies Inc. :

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India :

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Position Title : Sr Engineer AIOps

Job Description :

Roles & responsibilities :

Architect and maintain scalable ML pipelines on Databricks, leveraging Unity Catalog for data governance and MLflow for model lifecycle management.

Design and automate CI / CD workflows for ML models using tools such as GitHub Actions, Databricks Workflows, and Terraform.

Deploy and monitor model serving architectures across multi-cloud environments (GCP, Azure), including inference via external APIs like OpenAI.

Integrate frameworks like LangChain to enable agent-based ML systems that interact with external APIs within Databricks notebooks.

Ensure secure API access, secrets management, and compliance across cloud boundaries, working closely with security and governance teams.

Experience :

We’re seeking a seasoned MLOps Engineer with 5–7 years of experience to lead the design and scaling of production-grade machine learning systems on Databricks. This role focuses on automating ML pipelines, enabling cross-cloud inference, and ensuring secure, compliant, and observable deployments. You’ll collaborate with data scientists, platform engineers, and compliance teams to build robust infrastructure using tools like Unity Catalog, MLflow, LangChain, and more.

Required Qualifications :

Bachelor’s or master’s degree in computer science, Engineering, or a related field.

5–7 years of experience in MLOps or ML engineering, with hands-on expertise in Databricks environments.

Strong proficiency in Python, including integration of external APIs and libraries (e.g., LangChain, OpenAI).

Proven experience with CI / CD pipelines, container orchestration (Docker / Kubernetes), and infrastructure-as-code tools like Terraform.

Solid understanding of model monitoring, performance profiling, and observability tools across GPU / CPU workloads.

Preferred Qualifications

Experience deploying ML applications for optimization or pricing algorithms.

Familiarity with AI safety, compliance, and governance frameworks.

Contributions to open-source projects related to Databricks, MLflow, or MLOps.

Experience mentoring junior engineers and establishing best practices for ML infrastructure.

Competencies :

Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.

Show integrity in what is done and how it is done - without sacrificing personal / business ethics.

Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions

Team-oriented, positively contributing to team morale and willing to help.

Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally

Must Have Skills :

Databricks expertise, Multi-Cloud Architecture & Deployment, CI / CD for Machine Learning, Python Programming & Framework Integration, Model Monitoring, Governance & Compliance