Machine Learning Engineer for Time-Series Forecasting
hace 3 semanas
Accelerate your career as a Machine Learning Engineer at AgileEngine, LLC., one of the fastest-growing companies in the US and a top-ranked dev shop according to Clutch.
About UsWe create award-winning custom software solutions that help companies across various industries improve lives worldwide. Our dynamic environment encourages experimentation, learning, and collaboration.
Job DescriptionYou will be responsible for designing and implementing ML models for time-series forecasting and predictions, ensuring robust validation and testing methodologies.
- Develop comprehensive feature engineering pipelines to handle complex data patterns and temporal dependencies;
- Create and maintain experimentation frameworks for systematic model evaluation and A/B testing;
- Design and maintain scalable data processing pipelines to ensure data quality and accessibility for ML workflows;
- Implement and optimize retrieval systems for domain-specific knowledge bases.
To excel in this role, you should have:
- 4+ years of development experience in Python and SQL;
- Production exposure to Snowflake, AWS, and Docker;
- Experience with deep learning frameworks (PyTorch or TensorFlow);
- Familiarity with ML model deployment and serving (MLflow or similar);
- Experience with time series analysis and forecasting libraries (Prophet or similar);
- Strong software engineering foundation;
- Great communication skills and stakeholder management and requirements gathering;
- Experience working in an environment leveraging remote communication and collaboration tools (e.g. Gitlab, Slack, JIRA);
- A strong sense of ownership, attention to detail, and willingness to overcome every challenge with the same level of energy;
- Upper-intermediate English level.
As a valued member of our team, you can expect:
- Professional growth through mentorship, TechTalks, and personalized growth roadmaps;
- Competitive compensation (estimated $120,000 - $160,000 USD per year) based on your skills and experience;
- An exciting selection of projects with modern solution development and top-tier clients;
- Flextime to tailor your schedule for an optimal work-life balance.
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