Engineer - Data Science/R&D

0 - 3 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a fresher with 0 to 1 year experience from the 2023/24 batch, your role will involve hands-on coding in Python, showcasing strong programming fundamentals. You will be expected to demonstrate problem-solving skills with a deep understanding of algorithms and data structures. Additionally, you will leverage your exposure to Artificial Intelligence, Machine Learning, Large Language, and Deep Learning frameworks to develop innovative solutions. Your responsibilities will include developing algorithms using NLP, NLU, NLG, and RegEx for content analytics and enhancing computer vision capabilities for core platforms. You will also be involved in researching and developing Proof of Concepts (PoCs) to evaluate new ideas and innovations, as well as building models to extract valuable insights from data for decision-making and strategic planning. Key Responsibilities: - Demonstrate solid programming fundamentals in Python - Utilize strong analytical and problem-solving skills with a deep understanding of algorithms and data structures - Leverage exposure to AI/ML/DL frameworks for developing innovative solutions - Develop algorithms using NLP, NLU, NLG, and RegEx for content analytics - Create and enhance computer vision capabilities for core platforms - Stay updated with the latest technologies and develop PoCs to evaluate new ideas - Build models to extract valuable insights from data for decision-making and strategic planning Qualifications Required: - ME/MTech specialized in Computer Science, Information Technology, Information Science, Data Science, Artificial Intelligence, Machine Learning, or Deep Learning Engineering (1st Division) - Proficiency in Python with AI, Deep Learning, and Machine Learning frameworks - Strong knowledge of Data Structures & Algorithms - Experience in Computer Vision and NLP (Natural Language Processing),

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Ninestars Information Technologies

Information Technology / Publishing Technology

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