Lead Machine Learning/AI Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Act as the primary technical consultant, guiding and implementing comprehensive AI/ML project solutions in collaboration with clients.

• Convert intricate business challenges into effective technical strategies.

• Communicate technical insights, proposals, and project progress to both technical and non-technical stakeholders.

• Design, develop, and sustain production-quality AI and ML pipelines utilizing CI/CD and sophisticated MLOps/AIOps methodologies.

• Execute and enhance Generative and Agentic AI applications, encompassing multi-agent orchestration, agent assessment, and Retrieval Augmented Generation (RAG) systems.

• Create end-to-end conventional Machine Learning and Generative AI architectures tailored to customer specifications.

• Oversee infrastructure for production deployments using Docker, pipeline orchestration tools, and lakehouse database systems like Databricks.

• Utilize distributed computing frameworks such as Apache Spark for efficient machine learning and high-performance data processing.

• Support the strategic advancement of the AI FDE Practice through technical projects and knowledge dissemination.

• Document and report client interactions and training activities using designated partner platforms.

⛳️ Requirements

• A minimum of 4 years of practical experience in developing, deploying, and managing Generative/Agentic AI or Machine Learning systems.

• Essential experience in productionizing and sustaining models in a live environment.

• At least 3 years of experience in a client-facing consulting or solutions architect position with an emphasis on technical implementation and delivery.

• Outstanding verbal and written communication abilities.

• Proficiency in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices.

• Proven expertise in infrastructure management, particularly with containerization (Docker) and data pipeline orchestration.

• Strong proficiency in Python for data-intensive and scalable AI/ML applications.

• A demonstrated commitment to continuous learning in the evolving fields of AI/ML.

🏝️ Benefits

• Remote-first culture – work from anywhere.

• Full coverage for AWS, DBT, Google Cloud, Azure, and Databricks certifications.

• In-house English language lessons.

• Birthday off plus an additional vacation week (Mutt Week!).

• Referral bonuses.

• Maslow: Monthly credits to utilize in our benefits marketplace.

• Annual Mutters' Trip.

• Monthly Childcare Reimbursement.