Drive the strategy and delivery of AI initiatives, from building rapid prototypes to deploying scalable, production-ready solutions that enhance customer experiences and internal operations.
Requirements
- Proven experience delivering production-grade AI/ML solutions in both generative AI and traditional machine learning.
- Strong proficiency in Python and modern frameworks such as FastAPI, LangChain, or Haystack.
- Hands-on experience with RAG architectures, multimodal LLMs, and agent workflows.
- Familiarity with cloud services (AWS or equivalent), CI/CD automation, and Agile environments.
- Solid foundation in computer science, algorithms, and data structures.
- Experience with knowledge graphs, graph-based RAG, or vertical AI agents.
- Background in fine-tuning or prompt-tuning large language models.
Responsibilities
- Design and develop AI/ML solutions, including generative AI, agent-based AI, and traditional machine learning models (classification, predictive analytics, deep learning).
- Build prototypes and proofs of concept to validate ideas, and transition successful projects into production systems.
- Apply responsible AI practices, including bias reduction, data quality, transparency, and model explainability.
- Collaborate with data engineering to optimize pipelines, training data, and retrieval-augmented generation (RAG) workflows.
- Contribute to robust CI/CD pipelines for AI/ML development, leveraging containers, microservices, and cloud platforms.
Other
- This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted.
- This role is fully remote.
- Work with cross-functional teams to identify opportunities, define requirements, and deliver solutions aligned with business needs.
- Strong problem-solving, communication, and collaboration skills.
