Build the future
of enterprise AI.
Join a team of operators, engineers, and strategists building production-grade AI systems for enterprise organizations. We value execution, accountability, and meaningful impact.
“We don’t just hire talent. We build teams that own outcomes.”
How we operate
as one team.
Current openings
across all functions.
AI/ML Engineer
We are looking for an AI/ML Engineer to design, build, and deploy intelligent systems that power our enterprise AI products. In this role, you will work across the full ML lifecycle — from data and experimentation to production — collaborating closely with product and engineering teams to deliver scalable, reliable, and impactful AI solutions.
- Design, build, and deploy machine learning models and AI pipelines into production environments
- Develop and maintain data preprocessing, feature engineering, and model evaluation workflows
- Collaborate with product and engineering teams to translate business problems into AI solutions
- Research and evaluate emerging ML/AI techniques and frameworks for potential adoption
- Optimize models for performance, latency, and scalability in enterprise environments
- Own technical documentation including model cards, architecture diagrams, and experiment logs
- Conduct code and model reviews and provide technical guidance to cross-functional teams
- Ensure responsible AI practices including fairness, explainability, and data privacy
- Contribute to building reusable AI components and internal ML tooling
- Experience with agentic AI frameworks such as LangChain, AutoGen, or CrewAI
- Background in NLP, computer vision, or multimodal AI systems
- Contributions to open-source AI/ML projects
- Experience deploying AI solutions in regulated industries (healthcare, finance, legal)
- Knowledge of responsible AI frameworks and compliance standards (GDPR, HIPAA)
- 3 to 5+ years of experience in machine learning, AI engineering, or a related field
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field (or equivalent)
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Hands-on experience with LLMs, RAG pipelines, or generative AI systems
- Solid understanding of model training, fine-tuning, evaluation, and deployment best practices
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
- Familiarity with MLOps practices including CI/CD for ML, experiment tracking, and model monitoring
- Strong communication skills with ability to explain AI concepts to non-technical stakeholders
Don’t see the right role? We are always interested in connecting with talented professionals. Send your resume and a note about what you are looking for.
Transparent, fast,
and respectful of your time.
Ready to build AI that actually works at scale?
LuMay is a team of operators. We deliver enterprise AI with the same standards we hire to. If that sounds like the right environment, we want to hear from you.