Advanced Engineer ML [T500-20665]

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: Advanced Engineer ML

Job Description:

Roles & responsibilities:

• Design, build, evaluate, ship, and refine products by hands-on ML development
• Work closely with Enterprise Architects and Technical Owners to create applications aligned with the business strategy
• Work closely with Data Science team to build and optimize machine learning pipelines
• Collaborate with a cross functional agile team spanning research, data science, product management, and engineering to build new product features using machine learning to solve problem in supply chain, pricing, fulfilment & personalization
• Continuously learn and adapt to an ever-changing technology landscape to bring varied technology options to the table
• Participate in design sessions, brainstorming various options, discussing pros and cons, and helping drive consensuses

Experience Required:

• 3-6 years of experience in Data Engineering
• 2-3 years of experience in Machine Learning Engineering
• Programming knowledge and/or experience in either Python, Scala
• Programming knowledge and/or experience of Distributed Computing frameworks such as Apache Spark, Apache Flink, Hadoop, DASK or Ray
• Experience of SQL / NoSQL database technologies (Oracle, SQL Server, Cassandra, CosmoDB, MongoDB).
• Experience of Machine Learning libraries such as scipy / scikit-learn / pytorch / tensorflow / nltk
• Knowledge of Micro Services (Django, Fast API).
• Knowledge of software development methodologies (Agile).
• Ability to troubleshoot and debug programs.

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.
• Team-oriented, positively contributing to team morale and willing to help.
• Learning-Focused, finding ways to improvise in their field and use positive constructive feedback to grow personally and professionally

Mandatory Skills Required:

• Python, Scala (or Java)
• Cosmos DB, Mongo DB / Non-SQL and SQL database management
• Apache Spark / Flink / Hadoop / DASK / Ray
• Azure / GCP, Kubernetes, CI/CD pipeline, GitHub / Version control
• RESTful APIs
• Machine Learning libraries such as scikit-learn, Scipy, Pytorch, TensorFlow

Additional Skills Required:

• Supervised & Unsupervised Machine Learning algorithms
• Data streaming platform (eg. Kafka)
• Data warehouse or Delta Lake