Machine Learning - Data Scientist

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.

Arc helps you find and hire pre-vetted, remote software developers for full-time roles. Fill your permanent, in-house positions in as little as 14 days!