AI Engineer

About the job

Role Description We are seeking a full-time AI Engineer for a hybrid role based in Kolkata, with opportunities for remote work. The AI Engineer will be responsible for developing and implementing artificial intelligence models and algorithms, focusing on cutting-edge applications such as natural language processing (NLP), neural networks, and pattern recognition. The role involves collaborating with cross-functional teams, contributing to the research and development of AI solutions, and providing innovative technical support for internal and client projects. Qualifications • Strong knowledge of Pattern Recognition and experience with Neural Networks • Proficiency in Computer Science fundamentals and Software Development practices • Expertise in Natural Language Processing (NLP) technologies and tools • Strong analytical mindset with problem-solving capabilities • Solid understanding of AI principles, machine learning, and data analysis • Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a relevant field

Requirements

• Pattern Recognition
• Neural Networks
• Computer Science
• Software Development
• Natural Language Processing
• AI principles
• Machine Learning
• Data Analysis

Qualifications

• Bachelor's degree in Computer Science
• Artificial Intelligence
• Relevant Field

Preferred Technologies

• Pattern Recognition
• Neural Networks
• Computer Science
• Software Development
• Natural Language Processing
• AI principles
• Machine Learning
• Data Analysis

About the company

Bosenet Systemhaus GmbH & Co. KG is a technology-driven company deeply committed to fostering inclusivity and innovation through diversity. With a multicultural team representing over 13 nationalities and speaking more than 12 languages, we focus on embracing various perspectives to fuel creativity and growth. Committed to equity, 29.4% of our workforce, from back-office roles to management, are women. We strive to create a workplace where every individual can thrive, offering mentorship programs and flexible work arrangements.