Machine Learning Engineer

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

As a Senior Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.

• Model Development:
  Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
• AI Technologies:
  Work with state‑of‑the‑art AI techniques, including Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG), and apply them to real‑world business contexts.
• Cross‑Functional
  
  Collaboration:
  
  Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
• Model Optimization:
  Continuously monitor, evaluate, and improve models based on real‑world performance and evolving business needs.
• Data Pipeline Maintenance:
  Implement and manage robust data preprocessing pipelines to ensure high‑quality, reliable input data for model development.

• 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
• Proven experience with Large Language Models (LLMs) and fine‑tuning techniques.
• Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
• Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
• Expertise in machine learning frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, Llama Index.
• Demonstrated success in applying data science and machine learning to solve real‑world, business‑critical problems.
• Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
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• Strong communication, stakeholder management, and decision‑making skills, with a passion for building diverse, inclusive engineering teams.

• Mission-Driven Work: Work on cutting‑edge AI applications with a talented and passionate team, solving real‑world challenges in critical sectors.
• Unparalleled Opportunity: This is a chance to innovate and solve real‑world challenges using AI at a company with unique access to world‑leading models and resources.
• Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
• World‑Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.