Job Location: Chennai
Job Summary
Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge.
Job Description
Summary
Are you interested in solving computer vision / NLP / Audio problems that involve massive data sets from millions of cameras, hundreds of thousands of on-demand videos or thousand channels of live TV? Do you have experience in building large-scale computer vision, NLP, and machine learning system? Do you want to conduct industry-leading research in content analysis technologies and real-time and cloud computer vision / NLP / Voice algorithms to create smart digital homes and help millions of households discover and interact with video and music content on their TV, PC, Phone, and Mobile devices?
If yes, come join the Comcast Applied AI group. We are an innovative research group within Comcast’s Technology & Product organization with office in Chennai India with teams extended to multiple geographies like Washington, DC, Silicon Valley, Philadelphia, Denver and Chicago USA that does groundbreaking research to support the development of novel Deep Learning andComputer Visionbased products for Comcast’s 22+ Million consumers.
Desired Qualifications
- Master’s degree in computer science, computer engineering, electrical engineering, mathematics, related technical discipline, or related industry experience; Ph.D. preferred.
– Strong programming and software development skills, and familiarity Python, deep learning frameworks (Keras, TensorFlow,PyTorch, Caffe), Computer Vision, NLP packages like Spacy, Genism, NLTK, BERT, GPT, ML base packages like NumPy, pandas, scikit and edge or cloud-based computing.
Job Description
- Develop solutions based on state of art of AI model architectures for end-to-end solutions to address problems in Media domain.
- Work towards solutions on at least one of the modalities of media like video, audio, and text processing.
- Define AI ML deep learning / machine learning solution out of a problem statement to design and develop end to end solutions. Keep track of the development in the areas of AI ML to quickly demonstrate solutions.
- Connect with leads and researchers in USA to co-develop solutions.
- Work with data engineering and the full ML pipeline towards model development and deployment
- Presents papers and/or attends conferences, as well as displaying leadership in these areas.
- Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.
- Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.
- Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provides guidance and leadership to more junior engineers.
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent, and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
- Other duties and responsibilities as assigned.
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience – think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff – be enthusiastic learners, users and advocates of our game-changing technology, products, and services, especially our digital tools and experiences.
- Win as a team – make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System – a way of working that brings more employee and customer feedback into the company – by joining huddles, making call backs, and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Respect and promote inclusion & diversity.
- Do what’s right for each other, our customers, investors and our communities.
Disclaimer:
- This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications.
Education
Bachelor’s Degree
Relevant Work Experience
2-5 Years
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
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