Machine Learning Scientist, Speech Processing

Job Description: • As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. • You will participate in problem definition and the development and execution of algorithms and solutions to the problems. • As an expert in ML for speech processing, you will lead teams working on ASR, speech diarization, and TTS. • You will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. • You will work in cross-functional teams spanning engineering, solutions, domain experts, and designers. • You will also work closely with social sector organisations and are encouraged to collaborate with researchers across the world. • You will mentor junior researchers and interns and participate in recruiting and hiring activities. Requirements: • M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or a related quantitative field, with 6+ years of work experience in speech processing, or a Ph.D. from a reputed institute. • Experience and expertise in applying machine learning and deep learning to speech processing is a must-have. • Experience in building ASR or TTS systems for Indian languages is a strong plus. • Ideal candidates should have a strong research background, experience mentoring junior researchers through robust coding practices and ideation, and proficiency in a variety of data mining and analysis methods and tools. • They should also be skilled in building and implementing models, visualizing data, developing and using algorithms, and running simulations. • Candidates should be comfortable working in cross-functional teams and must have excellent oral and written communication skills, with a proven track record of driving projects to completion. • Evidence of written skills through high-quality research publications is a plus. • Candidates should be passionate about using their technical skills to solve large, societally important problems. Benefits: • Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance. • Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centres, Emergency Support System. • Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program • Mobility Benefits - Travel Policy, Relocation and Deputation benefits. • Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment. • Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance Apply tot his job