Manager Engineering - ML [T500-20840]

About Albertsons :

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others.

Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging.

Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company.

About Tech Hub in India :

Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons' first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The associates at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence, contributing significantly to Albertsons Companies' mission to earn Customers for Life.

Position Title : Manager Engineering

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 :

7-10 years of experience in Data Engineering / Machine Learning

3-4 years of experience in managing Delivery of Machine Learning projects

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 hyperparameter tuning, measuring model metrics and optimizing for performance and cost

Knowledge of Micro Services (Django, FastAPI).

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 (e.g. Kafka)

Data warehouse or Delta Lake