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Machine Learning Engineer
Machine Learning Engineer
Peenak Business solutions's logo

Machine Learning Engineer

Gaurav Kaushik's profile picture
Posted by Gaurav Kaushik
3 - 7 yrs
₹10L - ₹15L / yr
Mumbai
Skills
skill iconPython
Natural Language Processing (NLP)
skill iconDeep Learning
TensorFlow
PyTorch

The Role:


As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.


Requirements:


  • Experience with training and fine-tuning machine learning models on large text datasets.
  • Strong computer science fundamentals and at least 3 years of software development experience.
  • Track record of thinking big and finding simple solutions while dealing with ambiguity.
  • Proven experience as a Natural Language Processing Engineer or in similar roles.
  • Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
  • Familiarity with text representation techniques, algorithms, and statistics.
  • Knowledge of programming languages such as R, Python, and Java.
  • Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
  • Ability to design software architectures and solve complex problems.
  • Strong analytical and problem-solving skills.
  • Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
  • Publications, patents, or conference talks in relevant fields are a bonus.



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About Peenak Business solutions

Founded :
2018
Type :
Services
Size :
0-20
Stage :
Bootstrapped

About

Peenak Business Solutions Pvt. Ltd. - Outsource your manpower needs to build a steady talent pool and slash hiring time and efforts to half.
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Shubham Vishwakarma

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