Senior Data Scientist / AI Specialist

About the job

Description GlobalLogic is seeking a highly skilled and motivated Senior Data Scientist / AI Specialist to join our growing team. The ideal candidate will have a strong foundation in Python programming, data science methodologies, and deep learning. Prior experience in conversational AI, natural language processing, and working with large language models (LLMs) is highly desirable. Requirements • Minimum 2-5 years strong background in Python programming, database management, and data science methodologies. • Prior experience with conversational AI systems or chatbot development is highly desirable. • Strong research & analytical skills. • Sound knowledge of Deep learning, transformer, GAN's, VAE's and LLM. • Proven experience in natural language processing, prompt engineering, or similar roles. • Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg, TensorFlow, PyTorch, spaCy). • Attention to detail. • Team player. • Quick learner. • Critical thinker and problem-solving skills. What we offer • Culture of caring. • Learning and development. • Interesting & meaningful work. • Balance and flexibility. • High-trust organization.

Requirements

• Python
• data science methodologies
• deep learning
• conversational AI
• natural language processing
• large language models
• TensorFlow
• PyTorch
• spaCy

Preferred Technologies

• Python
• data science methodologies
• deep learning
• conversational AI
• natural language processing
• large language models
• TensorFlow
• PyTorch
• spaCy

Benefits

• Culture of caring
• Learning and development
• Interesting & meaningful work
• Balance and flexibility
• High-trust organization

About the company

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences.