ML Engineer

Essential functions

• Design, develop, and deploy applications powered by LLMs, focusing on NLP tasks such as classification, NER, summarization, sentiment analysis, and question answering.

• Utilize best practices in prompt engineering and fine-tune LLMs for specific use cases.

• Implement and optimize vector search methods, including performance tuning and integrating popular vector search engines.

• Develop applications using frameworks such as LangChain, LlamaIndex, and DSPy, employing RAG (Retrieval-Augmented Generation) and agentic design patterns.

• Apply advanced document understanding and chunking techniques to parse and process complex documents for effective information retrieval.

• Collaborate on multi-modal AI solutions using vision-language models for tasks like image generation, visual question answering, and multi-modal search.

• Design scalable architecture patterns for LLM-based systems, including chatbots, text-to-SQL, and document understanding applications.

• Evaluate the performance of LLM-based systems using appropriate metrics and implement strategies to mitigate challenges and risks in Generative AI development.

• Ensure adherence to Responsible AI principles and Human-AI interaction design best practices.

• Stay updated with the latest advancements in Generative AI to drive innovation and enhance existing systems.

Qualifications

• Programming Languages: Proficiency in Python for AI/ML development.

• NLP Expertise: Understanding of NLP tasks, tokenization, attention mechanisms, and embeddings (word and sentence).

• Frameworks and Libraries: Experience with LangChain, LlamaIndex, and DSPy for building LLM-powered systems.

• Vector Search: Familiarity with algorithms for keyword and vector search and knowledge of popular vector search engines.

• Document Processing: Expertise in document chunking strategies and retrieval-augmented generation (RAG) systems.

• Transformers: Intuitive understanding of how transformer models work and how to fine-tune LLMs.

• Multi-Modal Models: Knowledge of joint vision-language models, diffusion models, and techniques such as LoRA, Dreambooth, and ControlNet.

We offer

• 100% payroll scheme, benefits by law (IMSS, INFONAVIT, 12+ vacation days)
• Benefits above the law: Vacation premium 50%, 5 PTOs, 3 sick days, 10 guaranteed public holidays per year
• Major medical insurance, Dental and Vision plan for an employee and direct family members
• Minor Medical Insurance (Multiservicios Médicos Santander) for an employee and direct family members
• Life Insurance and funeral expenses
• 5% savings fund, uncapped (matched by the company in the end of the year)
• Grocery cards/vouchers (Vales de Despensa)
• 30 days End of the Year Bonus (Aguinaldo)
• Opportunity to work on bleeding-edge projects with a highly motivated and dedicated team all over the world
• Individual career development plan and support from the best experts
• Professional development opportunities (Linkedin Learning, Cloud certification programs, access to corporate LMS integrated with other learning platforms)
• Well-equipped office in a business area of Guadalajara (quiet room, games room, air hockey, PS5, Nintendo Switch and Xbox Series X, pool table, ping pong, snacks, smoothies, and much more)
• Corporate social events (yoga, massages, sport tournaments, discussion panels, technical talks, lunch & learns)
• Flexible working hours
• Opportunity to relocate to another country where the company's offices are present.