Data Scientist - Artificial Intelligence/Machine Learning

Ideal Candidate Profile : Educational Qualifications : - Bachelor's Degree: B.Tech in Computer Science or B.Stat. - Master's Degree (Full-Time): A Master's degree in Computer Science, AI/ML, Data Science, or Statistics is required. Preferred : A PhD in one of these fields is highly desirable. Industry Experience : - For candidates with a Master's degree, a minimum of 6 years of relevant industry experience is required. - For candidates with a PhD, at least 2 years of relevant industry experience is needed. Skills and Expertise : 1. Data Structures and Algorithms : - The candidate must have excellent knowledge of Data Structures and Algorithms, with a focus on efficiently solving complex problems through optimized approaches. 2. Programming Skills : - Python: The candidate should have strong programming skills in Python, with hands-on experience in developing AI/ML algorithms and working on data analysis projects. - C++: A working knowledge of C++ is essential to complement AI/ML model development, particularly for integrating algorithms into product pipelines. 3. Expertise in AI/ML & Data Science : - Artificial Intelligence/Machine Learning (AI/ML): Extensive experience in designing, developing, and deploying AI/ML solutions. 4. Data Science : The candidate should have experience in applying data science techniques such as classification and clustering, with a strong understanding of statistical methods. 5. Deep Learning Frameworks : Proficiency in working with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for solving advanced problems. 6. Large Language Models (LLM) : Understanding and experience in working with Large Language Models for natural language processing tasks and other related applications. Job Responsibilities : 1. AI/ML Algorithm Development : - The primary responsibility is to design and develop AI/ML algorithms to address complex technical challenges, specifically in the context of 3GPP standards (Third Generation Partnership Project). - This involves leveraging AI to provide innovative solutions for telecom technologies. 2. Documentation and Presentation : - The candidate will be responsible for documenting the design and functionality of the developed data science and AI/ML algorithms in clear and precise language. - Additionally, they will need to present the algorithms and their results to both technical and non-technical stakeholders to support ongoing innovations. 3. Team Collaboration and Integration : - The candidate will work closely with cross-functional teams to ensure the seamless integration, productization, and deployment of AI/ML models into the product pipeline. - They will also share responsibilities with the team, ensuring all stages of the AI/ML model lifecycle-from development to deployment-are managed efficiently. (ref:hirist.tech)

Location: kolkata, IN

Posted Date: 11/26/2024