Axiom Pro is a trusted partner in global talent solutions, helping organizations build exceptional teams and deliver transformative projects. We are currently supporting a fast-growing U.S.-based AI company that is building scalable, production-grade machine learning systems. To support this growth, the company is seeking experienced Machine Learning Engineers to design multi-tenant forecasting architectures, build real-time validation pipelines, and improve the reliability of AI-generated code, text, and speech outputs.
Responsibilities
– Build and orchestrate scalable ML pipelines using MLflow, Docker, Git, and Python
– Design and maintain multi-tenant model training systems for AI-based forecasting
– Implement and optimize models using XGBoost, Prophet, scikit-learn, and Pandas
– Integrate Snowflake ML or similar tools for working with large-scale datasets
– Develop automated validation workflows for AI-generated code, text, and speech
– Collaborate with MLOps and QA engineers to integrate testing into CI/CD pipelines
– Monitor AI model behavior and improve system reliability, explainability, and speed
Requirements
– Hands-on experience in ML, forecasting, or data science
– Strong Python skills and experience with XGBoost, Prophet, scikit-learn, Pandas
– Understanding of multi-tenant architecture, versioning, and model scaling
– Practical experience with ML orchestration tools (MLflow, Airflow, DVC, etc.)
– Familiarity with data platforms like Snowflake, BigQuery, or Redshift
– Comfortable working in remote, collaborative teams
– Intermediate or higher level of English (written + verbal)
Mandatory Skills
– Python
– XGBoost
– Prophet
– MLflow
– Docker
– Git
– MLOps
– Snowflake
– Pandas
Mandatory Languages
– English
Working Day
– Full Time Job
Working Conditions
– Remote engagement with a global team
– Competitive compensation and long‑term potential
– English-speaking environment
– Holidays and days off can be discussed
– Monthly payments via Payoneer, PayPal, or crypto