Machine Learning (ML)
Deep Learning------------------------
Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Limited resource Speaker Diarization on mono-channel recordings in noisy environment.
* Speech Enhancement to improve accuracy of downstream speech analytics tasks.
* Automated Speech Recognition for accent heavy audio with a noisy background.
* Speech analytic tasks, which include: emotions, empathy, keyword extraction.
* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.
A typical day at work
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You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
What should you know?
---------------------------------
* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
* Experience with literature review either in academia or industry.
* Proficiency in at least one programming language such as Python, C, C++, Java, etc.
* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
Why DeepAffects?
--------------------------
* You’ll learn insanely fast here.
* Esops and competitive compensation.
* Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published.
* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.
Shubham Vishwakarma
Full Stack Developer - Averlon
About DeepAffects
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Experience: 4+ years of professional experience in any field, with a strong foundation in Mathematics or Economics.
Locations: London, New York, Mumbai, Hyderabad
How to Apply:
- Login to tacoi.paromint.com.
- Navigate to your Profile.
- Copy your wallet public address from the app.
- Include your wallet public address.
- Mention the job code SQE002.
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Note: Candidates will be selected for interview based on their hedging ability, especially in options and commodity derivatives on tacoi.paromint.com.
Graphic Design Intern - Join Our Creative Team!
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Why Join Us?
This internship provides a valuable learning experience in a fast-paced, supportive environment. You'll work with an amazing team, contribute to impactful design projects, and have the opportunity to build skills that will set you up for future success.
If you're ready to jumpstart your design career and make a real impact, we want to hear from you! Apply now to become part of our creative team.
#GraphicDesign #DesignInternship #InternshipOpportunity #DesignJobs #CreativeTeam
#JoinUs
Are you passionate about solving problems through technology, customer obsessed, flexible, smart and analytical, strategic yet execution focused, passionate about mobile and e-commerce ? If yes, a Product Manager role gives you a chance to be a part of the Health-tech revolution in India & build products for scale.
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- 1+ year of experience with Ruby on Rails or other Ruby frameworks
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- Strong knowledge of relational database concepts, PostgreSQL, MySQL, etc.
- Working knowledge of Javascript, DOM, CSS, HTML
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Good To Have Skills
- Experience with modern Javascript libraries, frameworks & its ecosystem will be a huge plus. Example: React.js / Ember.js / Angular.js / Vue.js etc.
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- We encourage and help you to blog about your development experience with the rest of the world. (https://blog.kiprosh.com/">Kiprosh Engineering Blogs)
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Candidate should have experience in hiring IT & Non IT skills
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon