Machine Learning / Data Scientist

Company Overview

Cloudious LLC, headquartered in San Jose, California, is a pioneering force in the Information Technology & Services industry. We specialize in connecting companies with top-tier talent across sectors like technology, healthcare, and finance. With a team of 201-500 employees, we strive to solve our clients' staffing challenges efficiently. Our expertise spans decades, dedicated to fostering trusted partnerships with leading organizations globally.

Job Overview

We are seeking a Senior Machine Learning Data Scientist for a contract, full-time position in Bangalore. The candidate should have up to 10 years of work experience. As a key member of our team, you will leverage advanced machine learning techniques to drive impactful solutions, drawing from a robust understanding of data science, natural language processing, and large language models. This role is critical for influencing decisions and innovating within varied industry domains.

Qualifications and Skills

• Proficiency in data science with the ability to formulate, implement, and validate advanced machine learning strategies and techniques.
• Extensive experience in natural language processing (Mandatory skill) for developing algorithms that enhance textual data understanding.
• Deep understanding of large language models (LLM) and their applications (Mandatory skill) to solve industry-specific challenges.
• Strong command of machine learning concepts and practices, including both traditional and modern approaches.
• Expertise in Python programming for efficient data manipulation and analysis to build robust models and scalable solutions.
• Experience with PyTorch framework to design and implement deep learning models effectively in production environments.
• Strong problem-solving skills with a focus on delivering data-driven insights and actionable recommendations to stakeholders.
• Ability to work collaboratively in a team setting and communicate complex technical concepts to non-technical stakeholders clearly.

Roles and Responsibilities