• Design and implement software solutions that power machine learning models, particularly in LLMs
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility
• Design and implement a scale infrastructure for developing and deploying GenAI solutions
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field
• Experience: 3-5 Years
• Strong programming skills in Python and Java
• Good understanding of machine learning fundamentals
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiar with frontend development and frameworks like React
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment
• Strong attention to detail and ability to communicate technical concepts clearly

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Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.