Applied Machine Learning Engineer
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
About the job
Responsibilities
- Develop and deploy applied machine learning models to solve business problems.
- Collaborate with cross-functional teams to integrate ML solutions into production systems.
- Experiment with new algorithms and techniques to improve model performance.
Requirements
- Bachelor's degree in Computer Science, Mathematics, or related field.
- 3+ years of experience in machine learning engineering.
- Proficiency in Python, TensorFlow, and PyTorch.
- Experience with data pipelines, model deployment, and cloud platforms (AWS, GCP, or Azure).
- Strong understanding of ML concepts including supervised/unsupervised learning, NLP, and computer vision.
Nice-to-Haves
- Master's or PhD in relevant field.
- Experience with Kubernetes, Spark, or MLOps tools.
- Contributions to open-source ML projects.
Skills
Python, TensorFlow, PyTorch, Machine Learning, Data Pipelines, Kubernetes, Spark, AWS, GCP, MLOps
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