Lucas Group is actively seeking experienced professionals in Artificial Intelligence, Machine Learning, and Intelligent Automation to connect with innovative organizations globally. These opportunities involve working on cutting-edge initiatives such as AI strategy, machine learning engineering, prompt engineering, and the development of LLM applications. Candidates will have the chance to explore roles in one of the fastest-growing sectors, contributing to enterprise AI transformations and data science projects. The positions are available across various regions including North America, Europe, Asia, the Middle East, Africa, and Oceania, with flexible work arrangements such as remote, hybrid, or on-site options.
As a candidate, you will be responsible for building, deploying, and supporting intelligent systems and AI workflows that solve real-world problems. Successful applicants will work across engineering, product, business, and executive teams to integrate AI models and optimize performance for production deployment. Lucas Group offers competitive compensation and significant long-term career growth potential. By submitting a single application, you gain access to multiple relevant opportunities within a network of companies leading the future of technology and digital transformation. Early applicants will receive priority consideration for these immediate hiring needs.
Key Requirements
Hands-on experience in AI, machine learning, deep learning, NLP, or automation.
Proficiency with tools and platforms such as Python, TensorFlow, and PyTorch.
Experience with LangChain, OpenAI, Gemini, Copilot, or Hugging Face.
Strong knowledge of SQL and various cloud AI services.
Ability to build, deploy, or support LLM-powered applications and AI workflows.
Experience in AI integration, model optimization, and experimentation.
Proven track record in production deployment of intelligent systems.
Ability to collaborate effectively across engineering, product, and business teams.
A passion for solving complex real-world problems using emerging technology.
Excellent communication skills to translate technical concepts for stakeholders.
Strong analytical and mathematical background relevant to data science.
Familiarity with Intelligent Automation or Robotic Process Automation (RPA) tools.