Zycus Hiring Machine Learning Engineer | 1-9 years | Bangalore

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Zycus Hiring Machine Learning Engineer | 1-9 years | Bangalore

Zycus Software hiring for the recruitment of Hiring Machine Learning Engineer in Bangalore. Candidates having 1 and above years of experience in data science are eligible for this role. For more details for eligibility criteria, selection process, apply link read below.

Company Name: Zycus

Job Location: Bangalore

Position: Machine Learning Engineer

Salary: Best In Market

Experience Required: 1-9 Years

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Eligibility Criteria :

  • Experience: 1-9 years
  • The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or Natural Language Processing
  • The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
  • Preferred experience with large data sets & distributed computing in Hadoop ecosystem
  • Fluency with databases

Skills required:

  • Experience in predictive modelling and predictive software development
  • Skilled in Java, C++, Perl/Python (or similar scripting language)
  • Experience in using R, Matlab, or any other statistical software
  • Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
  • Strong communication and data presentation skills
  • Classification (svm, decision tree, random forest, neural network)
  • Regression (linear, polynomial, logistic, etc)
  • Classical Optimization(gradient descent, newton raphson, etc)
  • Graph theory (network analytics)
  • Heuristic optimisation (genetic algorithm, swarm theory)
  • Deep learning (lstm, convolutional nn, recurrent nn)

Job Role:

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

How To Apply :

Interested and eligible candidates can apply for this role using below url.

Apply Link: Click Here To Apply

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