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Machine Learning Engineer (Python) - Remote Work
- New York, New York, United States
- New York, New York, United States
Über
As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value. What You'll Do:
Design and implement production-ready machine learning models and algorithms using Python. Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training. Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments. Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability. Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift. Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements. What we are looking for:
4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering. Proven expertise in designing, training, and deploying machine learning models in production environments. Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Hands‑on experience with Databricks for managing and scaling machine learning workloads. Strong background in optimizing model performance and ensuring production system scalability. Advanced proficiency in English. How we do make your work (and your life) easier:
100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred. Hardware and software set‑up for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive!
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Sprachkenntnisse
- English
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