Software Engineer – Machine Learning

Software Engineer – Machine Learning (Python)

Requirements

  • Be sharp at Algorithm Design and Complexity Analysis, solving new problems with ease with effective and computationally efficient methods
  • Enjoy programming and be comfortable with Object Oriented Programming in Python
  • Eager to quickly learn new concepts, languages, tools and technologies as required
  • Enjoy building products that are generic and can cater to multiple tenants, through appropriate parameterization/abstraction
  • Be excited to work in a startup environment and take end-to-end responsibilities working with the co-team members
  • Write clean, maintainable, and well-tested code
  • Engage in the full development life-cycle including architectural design and testing
  • Solid understanding of distributed systems – Microservices/Reactive architecture, event driven systems, NoSQL databases, queues, caching, docker containers, etc.
Good to have:
  • Have demonstrated passion and enthusiasm for Machine Learning through projects, products, etc. Ability to develop new ML models and frameworks from scratch
  • Understanding of Deep Learning and ML algorithms such as Gradient Boosting, Random Forest, SVM etc
  • Prior experience with ML libraries such as TensorFlow, Keras, PyTorch, Spark-MLLib will be a plus
  • Experience working with Kubernetes, AWS/Azure/GCE managed services
  • Typical Education background:
    1. Computer Science & Engineering.
    2. NLP Engineer (2-4 Years)
    • Requirements: • Must Have
    • Python + oops
    • good at engineering
    • Experience on NLP
    Additional: • experience/comfortable prototyping and research
    1. Computer vision ( 2-4 Years)
    2. Requirements: i. Must Have
    1. Python + oops,
    2. good at engineering
    3. Experience on open cv, OCR
    4. strong at logic/algorithms
    1. Additional:
    1. experience/comfortable prototyping and research
    2. experience using ml.
    1. ML Research (2-4 Years)
    • Requirements: • Must Have
    • Python
    • good at logic/problem solving.
    • Experience on Tensorflow, ml.
    • Inclination towards prototyping research.

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