Company Profile and Job Description About us: AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. For more details visit: www.athenasowl.tv Role: Senior Machine Learning Engineer Experience Level: 4 -6 Years of experience Work location: Mumbai (Malad W) Responsibilities: Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale The ideal candidate should have: Strong programming skills in any one or more programming languages like Python and C/C++ Sound fundamentals of data structures, algorithms and object-oriented programming Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc. Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.) Ability to quickly learn and communicate the latest findings in AI research Creative thinking for leveraging machine learning to build end-to-end intelligent software systems A pleasantly forceful personality and charismatic communication style Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”
1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
What will you do?------------------------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-----------------------------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 LinguisticsWhy 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.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.