Senior ML/AI Engineer

We are looking for a Senior AI/ML Product Engineer to join a technology consulting team working with a global healthcare and biotech company.

In this role, you will design, build, and deploy Machine Learning and Generative AI solutions that enhance digital products, automate business workflows, and improve operational efficiency.

You will work closely with Product, Engineering, and Data teams to turn AI opportunities into reliable, scalable, production-ready solutions.

This is a hands-on engineering role with a strong focus on Machine Learning, Generative AI, MLOps, and real-world product impact.

What You'll Do

• Design, develop, train, and deploy Machine Learning models for predictive analytics, anomaly detection, recommendation systems, and other business applications.
• Build Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows.
• Develop and maintain end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment.
• Implement MLOps and LLMOps practices for model monitoring, observability, automated evaluations, and continuous improvement.
• Deploy scalable AI solutions using cloud platforms such as AWS, Azure, or GCP.
• Build secure APIs and integrate AI capabilities into existing applications and enterprise systems.
• Implement AI guardrails, data privacy controls, and responsible AI practices.
• Collaborate with cross-functional teams to deliver AI solutions that create measurable business value.
• Help establish engineering standards and best practices for production AI systems.

What We're Looking For

• Solid experience in Machine Learning Engineering, Applied AI, Data Science, or related fields, including experience working on production products or platforms.
• Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face.
• Hands-on experience developing and deploying Machine Learning and/or Generative AI solutions into production.
• Experience with LLMs, prompt engineering, RAG, vector databases, and AI agent frameworks such as LangChain, LangGraph, or equivalent.
• Experience with MLOps, including model deployment, monitoring, evaluation, and CI/CD pipelines.
• Familiarity with cloud ML platforms such as AWS SageMaker, Azure ML, or Google Vertex AI.
• Strong SQL skills and experience working with data pipelines and data processing tools.
• Experience with Docker, Kubernetes, or similar containerization technologies.
• Understanding of AI evaluation, observability, model reliability, and responsible AI practices.
• Strong communication skills and the ability to collaborate with Product and Engineering teams.
• Advanced English communication skills.

Nice to Have

• Experience with LLM evaluation and observability tools such as LangSmith, Ragas, DeepEval, or Langfuse.
• Experience with AI guardrails, model safety, and PII protection.
• Experience with multimodal AI, NLP, time-series forecasting, or Computer Vision.

Why Apply?

• Work remotely from LATAM
• USD compensation
• Paid time off
• National holidays off
• Build production-ready AI solutions with real-world impact.
• Work with modern technologies across Machine Learning, Generative AI, and cloud platforms.