Chief Machine Learning Expert

Key Responsibilities

Architect, design, and implement production systems in Go, Java and Python

Demonstrated expertise in designing and scaling Generative AI platforms and applications, leveraging agentic frameworks and orchestration technologies such as LangGraph, MCP, or equivalent, to deliver enterprise-grade AI solutions.

Deep knowledge of transformer architectures and machine learning lifecycles, with proven experience leading large-scale batch inference pipelines on GPU clusters.

Extensive experience leveraging modern distributed technologies such as Kafka, PostgreSQL, SAP HANA, gRPC, AWS, Kubernetes, and Docker to build scalable, resilient, and high-performance AI and data platforms.

Mentor and guide engineers from junior to senior levels, fostering technical excellence

Partner with cross-functional teams to translate business goals into scalable, high-impact solutions

Minimum Qualifications

Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise

10+ years of software engineering experience, with a track record of delivering complex systems

Proven ability to work independently and lead initiatives from idea to deploymentHands-on experience with AI/ML and/or LLM systems in a production environment

Expertise in distributed systems design and implementation

Familiarity with CI/CD pipelines and modern development practices

Strong English communication skills and ability to thrive in global, multicultural teams