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 Engineering2-3 years of experience in Machine Learning EngineeringProgramming knowledge and / or experience in either Python, ScalaProgramming knowledge and / or experience of Distributed Computing frameworks such as Apache Spark, Apache Flink, Hadoop, DASK or RayExperience of SQL / NoSQL database technologies (Oracle, SQL Server, Cassandra, CosmoDB, MongoDB).Experience of Machine Learning libraries such as scipy / scikit-learn / pytorch / tensorflow / nltkKnowledge 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 professionallyMandatory Skills Required :
Python, Scala (or Java)Cosmos DB, Mongo DB / Non-SQL and SQL database managementApache Spark / Flink / Hadoop / DASK / RayAzure / GCP, Kubernetes, CI / CD pipeline, GitHub / Version controlRESTful APIsMachine Learning libraries such as scikit-learn, Scipy, Pytorch, TensorFlowAdditional Skills Required :
Supervised & Unsupervised Machine Learning algorithmsData streaming platform (eg. Kafka)Data warehouse or Delta Lake