Senior Machine Learning Engineer (NLP/LLMs)

HudHud Maps

We are looking for a Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. This role requires strong research-to-production skills, combined with robust software engineering capabilities to ensure scalable, reliable systems.

Key Responsibilities

• Design, develop, and deploy NLP and LLM-based solutions for real-world applications.
• Translate research papers and experimental models into production-ready systems.
• Architect and implement scalable ML pipelines, ensuring performance and reliability.
• Collaborate with product and engineering teams to integrate ML models into Hudhud s platforms.
• Conduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost.
• Stay up to date with the latest advancements in NLP, LLMs, and generative AI.
• Guide junior engineers and contribute to building a high-performance AI team.

Software Engineering Skills:

• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Strong knowledge of software engineering principles (version control, testing, CI/CD).
• Experience with distributed systems, APIs, and microservices.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

• Excellent analytical skills and ability to work independently in a fast-paced startup environment.