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Data Scientist - Artificial @ Rebaca Technologies

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 Data Scientist - Artificial

Job Description

    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 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. 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. Expertise in AI/ML & Data Science : Artificial Intelligence/Machine Learning (AI/ML): Extensive experience in designing, developing, and deploying AI/ML solutions. Data Science : The candidate should have experience in applying data science techniques such as classification and clustering, with a strong understanding of statistical methods. Deep Learning Frameworks : Proficiency in working with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for solving advanced problems. Large Language Models (LLM) : Understanding and experience in working with Large Language Models for natural language processing tasks and other related applications. Job Responsibilities 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. 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. 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),

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Specified
Role/Responsibilies: Data Scientist - Artificial

Contact Details:

Company: Rebaca Technologies
Location(s): Kolkata

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Keyskills:   Python C Data Science Data Structures Algorithms

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Rebaca Technologies

Rebaca Technologies Pvt. ltd. Rebaca is a niche player in Video Delivery & Consumption, Enterprise Video, Orchestration & VNF, Big Data & Business Analytics, Dev-Ops & Test Automation, Telecom, Entertainment & Media Backed by the seasoned management team and solid engineering...

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