Ml & Ai Engineer

Year    Pune, Maharashtra, India

Job Description

  • Hands on expertise over Python.
  • Hands on expertise over Pytorch/TensorFlow.
  • Hands on expertise over NLP.
  • Has worked on models deployed in Production.
  • Understanding of Deep Learning concepts.
  • In-depth understanding of Machine Learning concepts.
  • Well versed with event driven and asynchronous programming paradigm.
  • Have experience in writing enterprise grade code, which is secure, efficient and unit tested.
  • Collaborte well with for various scrum ceremonies and be a team player.
Responsibilities
  • Individual contribution for writing and developing the quality model.
  • Collaborate with all the stakeholders and work towards common goals.
  • Understand requirements and participate in developing quality code.
  • Familiarity with leveraging and modifying open source libraries to build custom frameworks.
Desired Candidate profile
  • Should have 3+ to 9 years as total experience.
  • Experience in software development and full product life cycle.
  • Excellent programming skills in any object-oriented programming language - preferably Python.
  • Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
  • Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, and recommendation systems.
  • Experience applying ML to solve complex business problems from scratch.
  • Experience with a deep learning framework like Pytorch/TensorFlow.
  • Awareness of the state-of-the-art research in the NLP community.
  • Excellent verbal and written communication and presentation skills.
  • Proficiency in SQL and data modeling.
Job Type: Full-time

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Job Detail

  • Job Id
    JD2856378
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year