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Our Client company is into Telecommunications. (SY1) logo
ML Engineer
Our Client company is into Telecommunications. (SY1)
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ML Engineer

at Our Client company is into Telecommunications. (SY1)

Agency job
4 - 8 yrs
₹21L - ₹23L / yr
Remote, Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
skill iconPython
skill iconDeep Learning
ML Tools
NLP Tools
Unix
Computer Vision
  • Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
  • Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
  • Partner with data scientists to understand and implement machine learning algorithms. 
  • Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
  • Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
  • Mentor junior team members 

 

Who we have in mind:

  • Graduate in Computer Science or related field, or equivalent practical experience. 
  • 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
  • Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
  • Familiarity with deep learning frameworks such as TensorFlow or Keras
  • Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
  • Understand machine learning principles (training, validation, etc.) 
  • Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
  • Experience deploying highly scalable software supporting millions or more users 
  • Experience building applications on cloud  (AWS or Azure) 
  • Experience working in scrum teams with Agile tools like JIRA
  • Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

 

 

 

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
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