Verisk Analytics Internship Program 2021

Verisk Analytics Internship Program 2021:-

Verisk Analytics Internship hiring candidates for the role of AI/ML Intern for the Location Hyderabad, India. The complete details Verisk Analytics Internship Program 2021 are as Follows.

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Company Name:- Verisk Analytics

Position:- AI/ML Intern

Stipend:- As per the company standards

Work Location :– Hyderabad, India.

Employment Type:- Intern

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Qualification:-

Currently enrolled in a B.S., M.S., or Ph. D. program in computer science, electrical engineering, mathematics, AI, or a related discipline
Expertise & hands-on experience in AI, ML, CV, NLP or a related area; publications in relevant top-tier conferences or journals highly desirable
Proficiency in relevant programming languages (e.g. Python), and, relevant tools and libraries (e.g. Tensorflow, PyTorch)
Excellent communication, problem-solving, and analytical skills; ability to learn quickly
Passion for applied research and for answering hard questions with data
Ability to work both independently and with a team

Job Description:-

As an AI/ML Intern, you’ll be expected to participate in high-impact and high-quality applied R&D; on projects internal and collaborative with business and academic partners; to create translational and transformative AI/ML technology, solutions and services for our business partners; to conduct cutting edge, highly visible and impactful research; and to help grow the Verisk| AI team and brand in relevant R&D and business communities.

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You will be working under the guidance of (and reporting to) senior staff (senior engineers, scientists, project and/ or R&D managers).

Responsibilities:–

AI/ML Research & Development: Work under the guidance of senior staff to conduct high impact and publishable industrial R&D; work on various phases of AI/ML projects: requirements engineering and mathematical modeling, solution and algorithm development, implementation and testing; performance evaluation and hardening;
Technology and Services: Work in internal, cross-functional and collaborative teams to build technologies, products and services and deliver high quality artifacts involving data analytics in a timely fashion;
Technical Communication: Share details of ongoing work and results via regular presentations; help with the creation of POCs and live demonstrations of the same to peers, management, clients as well as to the AI/ML research community;

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Intellectual Property: Contribute to technical reports and drafts for research publications, invention disclosures and patent applications;
Personal Growth: Actively work on improving theoretical and applied understanding in relevant areas of AI/ ML, problem domains, state-of-the-art tools, innovation skills.

Additional Information:-