Machine Learning Engineer at Andersen Lab | Torre

Machine Learning Engineer

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Full-time

Legal agreement: Employment

Base compensation
USD60k - 80k/year

+ Health insurance

Negotiable
location_on
Remote (anywhere)
Posted 3 days ago

Responsibilities


Responsibilities - Designing, training, and evaluating machine learning models (supervised, unsupervised, NLP, etc.). - Building scalable data and ML pipelines using modern tools. - Collaborating with subject matter experts and analysts to prepare training datasets. - Deploying models for production (batch or real-time inference). - Monitoring and maintaining model performance and data quality. - Optimizing models for performance, interpretability, and cost. - Documenting ML workflows and ensuring reproducibility. Show less Must have requirements - Experience as a Machine Learning Engineer or in a similar role for 2+ years. - Proficiency in Python, including hands-on experience with libraries such as scikit-learn, pandas, NumPy, and matplotlib. - Strong understanding of core ML concepts – regression, classification, clustering, model validation, and performance metrics. - Practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Proven experience building, training, and deploying ML models using AWS SageMaker. - Familiarity with AWS Bedrock for working with foundation and generative models (e.g., fine-tuning and orchestration of LLMs). - Hands-on experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of SQL and experience working with structured and semi-structured datasets. - Understanding of ML model deployment (e.g., REST APIs with FastAPI or Flask; model packaging and containerization with Docker). - Exposure to MLOps practices – pipeline automation, model versioning, monitoring, and reproducibility. - Familiarity with version control systems (e.g., Git). - Strong analytical thinking, communication, and problem-solving skills. - Willingness to stay current with emerging ML techniques, frameworks, and cloud AI tools. - Level of English – from Upper-Intermediate and above. - Level of German – from Intermediate+ and above.
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