Intern - Data Science & AI Engineer

3 weeks ago

india Frost & Sullivan Full time

Overview

Design & Build Generative AI, GPT, and Gen AI models for relevant existing & new products To design, build and implement search engines using NLP/ LLMs Building Data Ingestion Pipelines Solving complex problems with multi-layered data sets using AI capabilities To create POCs and guide implementation teams on data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making With good understanding of AI and Generative AI solutions, leveraging/ building AI/ Generative AI models and application of the opportunities identified Developing ML algorithms to analyze huge volumes of historical data to make predictions Support implementation teams in the design, build and deploy AI/ Generative AI solutions for the opportunities identified. Develop and deliver best practices around program delivery, project approaches, and business measurement in the AI/ Generative AI opportunities identified.

(The definitive position title and internal corporate level will be established through a sequence of interviews and assessments)

Qualifications

Educational Background: Candidates who have completed or are seeking a degree in mathematics, computer science, engineering, or a similar discipline are usually given preference. Programming Skills: Proficiency in programming languages like Python, Java Knowledge of Data Science & AI Concepts: It’s crucial to comprehend deep learning, neural networks, machine learning algorithms, and other AI ideas Relevant Experience: It might be helpful to have completed projects, internships, or courses in artificial intelligence or machine learning in the -on experience on Generative AI, GPT, and Gen AI models Experience in Natural Language Processing (NLP) and Large Language Models (LLM) Experience in building Data Ingestion Pipelines Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Data cleaning and transformation capabilities General understanding of data science process flow Proficient with SQL Query language and relevant techniques (tables, indexing, filtering, joins, Window functions, Understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms Exposure to any Cloud infra-architectures, data engineering, and security practices etc Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks Excellent problem-solving and analytical skills Strong experience with cloud platforms such as AWS/ Azure/ GCP. Excellent analytical and problem-solving skills Are Well-organized and detail-oriented Take ownership to work independently with remote supervision Can multi-task and meet tight deadlines Are disciplined and adhere to high-quality standards Is a strategic thinker; understands how operational activities are vital in supporting the overall strategy of the business

What will make you succeed at Frost & Sullivan?

You need to be-

Wildly curious and entrepreneurial Committed to customer success A self-starter invested in your future A persuasive communicator Deeply Analytical Excited about Disruptive Trends

Benefits

A friendly work environment with an ‘open door’ policy A strong career path with growth opportunities. Be part of a global team that strives for excellence, and fosters an Olympic spirit Feed your intellectual curiosity by collaborating across all levels of the company across the globe Global Recognition - President’s Club & Chairman’s Club Awards Continuous learning and coaching Flexible work policy

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