Lead Machine Learning Engineer
RemoteMexico
Job Summary
Architect, build, and deploy intelligent conversational and agentic features on the VIP platform, designing domain-specific AI systems capable of complex dialogue management and multi-step task execution. Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain data while establishing Retrieval-Augmented-Generation systems, reinforcement learning frameworks, and guardrail mechanisms for the end-to-end model lifecycle. Integrate these capabilities with product and software engineers, setting prompt engineering and data management best practices alongside monitoring protocols for development, testing, and production. Maintain subject matter expertise on NLP and agentic AI research to guide architecture decisions for the next-generation chemical informatics platform.
Required Qualifications
- MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field
- 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP)
- Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures
- Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
- Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities
- Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB
- Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic)
- 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe)
- Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles
- Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders
Desired Qualifications
- MSc (preferred)
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