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Advanced Engineer ML

Advanced Engineer ML

Albertsons Companies IndiaBengaluru, India
5 days ago
Job description

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
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