2+ Voice recognition Jobs in India

Roles:

• Ensuring the success of new AI products by focusing on scalability, potential biases, and compliance.
• Perform gap analysis on existing business data. Identify new data points.
• Developing business cases for AI in new and existing products.
• Work with executives and business line stakeholders to define the problems to solve with AI.
• Help prioritise and rank the solutions, develop business cases.
• Work closely with UI/UX, engineering and cross-functional teams to deliver with quick time-to-market and optimal products.
• Formulating product requirements and identifying new opportunities with the help of customer feedback, market analysis, and usability studies.
• Drive product launches including working with public relations team, executives, and other product management team members.

Requirements:

• “Problem solving with AI” mindset.
• Proven work experience in product management as an Associate Product/Product Manager.
• Knowledge and experience with Machine Learning and different Voice & Speech AI concepts such as neural networks, natural language processing, speech-to-text conversion clustering techniques, etc.
• Experience defining and developing a new product or service.
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management .
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Skilled at working effectively with cross functional teams in a matrix organisation.
• MS/BS degree in Computer Science, Engineering or equivalent preferred.

We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.