Shape the Future of Machine Learning with Real-World Impact

Looking to put your machine learning skills to work solving real-world challenges? Join a fast-paced, mission-driven team focused on deploying cutting-edge AI solutions. We’re making a tangible impact, helping industries optimize operations while addressing some of today’s most pressing global issues.

What You’ll Work On:

• Deploy LLM-powered pipelines tailored to customer use cases, making adjustments as needed to meet requirements and clearly documenting results.
• Own the implementation of product updates based on customer requests, collaborating with product and engineering teams to ensure smooth integration.
• Develop and refine prompt libraries for diverse scenarios, optimizing them for both proof of concept (PoC) use and production readiness.
• Lead technical PoCs, showcasing ML capabilities to prospective customers, solving their unique challenges, and collecting feedback for future improvements.
• Monitor and optimize deployed models to improve performance and accuracy, contributing to a structured ML framework while learning deployment best practices.

Core Qualifications:

• Hands-on experience (internships or similar roles included) as a Machine Learning Engineer or equivalent, with a focus on building, testing, and improving ML models.
• Experience applying machine learning techniques, particularly with NLP, prompt engineering, and LLMs (e.g., Hugging Face, OpenAI).
• Strong Python skills, with knowledge of libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Familiarity with Git for version control, CI/CD pipelines, and deploying ML models locally or in cloud environments.

Why This Role?

This is your opportunity to work on impactful projects that combine cutting-edge technology with real-world applications. Collaborate with a talented team, learn from diverse challenges, and make meaningful contributions to industries at the forefront of innovation.