Machine Learning Engineer

hace 23 horas

distrito federal, México Qubika A tiempo completo

We are looking for a highly skilled Machine Learning Engineer with a strong background in Large Language Models (LLMs) , Agentic AI systems , and software engineering . You will be responsible for designing, developing, and deploying advanced AI solutions that leverage LLMs for complex reasoning, task automation, and dynamic user interaction. This role requires not only ML expertise but also hands-on software development skills to ensure scalable, production-grade implementation. Key Responsibilities: Develop and fine-tune LLM-based applications for reasoning, decision-making, and conversational AI. Design and implement agentic AI systems capable of multi-step planning, tool use, and adaptive behaviors. Collaborate with product and engineering teams to integrate AI solutions into production environments. Build robust and scalable pipelines for model training, evaluation, deployment, and monitoring. Evaluate model performance and implement strategies for alignment, safety, and reliability. Contribute to the development of internal AI tools, SDKs, and reusable components. Stay up to date with advancements in LLM architectures (e.g., GPT-4, Claude, open-source LLMs) and apply best practices in prompt engineering and fine-tuning. Must-Have Qualifications: 3+ years of experience as an ML Engineer, MLE, or similar role, with a focus on NLP and LLMs. Proven experience building and deploying applications using LLMs (e.g., OpenAI, Anthropic, Cohere, Mistral, LLaMA). Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen). Strong programming skills in Python and experience with software engineering best practices (testing, CI/CD, version control). Experience working with vector databases, RAG pipelines, and embeddings-based retrieval. Familiarity with cloud platforms (AWS, GCP, Azure) and ML infrastructure tools (e.g., MLflow, Docker, Kubernetes). #J-18808-Ljbffr

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