Monitoring and Performance Engineer

3 days ago


Bangalore, India ANSR Full time

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. 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. 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. 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: Advanced Engineer AIOps Build and maintain ML pipelines on Databricks, using Unity Catalog for data governance and MLflow for model tracking and versioning Support model deployment and monitoring across multi-cloud environments (GCP, Azure), including inference via external APIs like OpenAI Collaborate with engineering and security teams to ensure secure API access, secrets management, and compliance across cloud boundaries Experience: Bachelor’s degree in computer science, Engineering, or a related field 3–5 years of experience in MLOps or ML engineering, with hands on work in Databricks environments Proficiency in Python, including integration of external APIs and libraries (e.g., Experience with CI/CD pipelines and infrastructure code tools like Terraform Familiarity with model monitoring, performance profiling, and observability tools Experience working in multi-cloud setups (GCP, Azure) and deploying ML models across cloud boundaries Exposure to container orchestration tools like Docker or Kubernetes Understanding of ML governance, compliance, and secure data movement practices Embrace an inclusion focused mindset, seeking input from others on their work and encouraging open expression of diverse ideas and opinions oriented, positively contributing to team morale and willing to help Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally CI/CD for Machine Learning Python Programming & Framework Integration



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