Machine Learning Engineer
New
Fully remote position (100%) from anywhere in U.S.Full-TimeMiddle
SalaryAt least 196,776 USD per year
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Job Details
- Experience
- Master’s degree and 1 year of experience
- Required Skills
- DockerPostgreSQLPythonSQLApache AirflowMLFlowSnowflakeFastAPIPandasSparkCI/CDscikit-learn
Requirements
- Master’s degree (or foreign equivalent) in data science, economics, mathematics, or computer science.
- 1 year of experience designing, training, and evaluating machine learning models using Python-based data science libraries.
- Experience performing feature engineering and developing predictive and descriptive models using scikit-learn and pandas.
- Experience using MLflow or similar platforms for experiment tracking and model versioning.
- Experience using Docker for containerization and reproducible deployment.
- 1 year of experience orchestrating data processing and machine learning workflows using Apache Airflow.
- 1 year of experience using CI/CD tools for model training, testing, and deployment.
- 1 year of experience configuring and optimizing cloud compute environments.
- 1 year of experience developing AI-driven automation workflows using language models.
- Experience developing backend services and APIs using FastAPI, REST, or GraphQL.
- 1 year of experience working with SQL databases (PostgreSQL) and cloud data platforms (Snowflake).
- Experience using distributed data-processing tools like Spark for large-scale operations.
Responsibilities
- Conduct applied research and experimentation to design, train, evaluate, and refine machine learning models.
- Develop, test, and deploy production machine learning systems by managing the complete MLOps lifecycle.
- Maintain and optimize machine learning infrastructure to support training, inference, and data processing workflows.
- Collaborate with business stakeholders to translate analytical requirements into quantifiable modeling objectives.
- Design, prepare, and review technical documentation, including model design specifications and architecture diagrams.
- Develop AI-driven automation solutions using Large Language Models to streamline internal workflows.
- Design and develop internal software tools and backend services that support data quality and analytical workflows.
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