Key Responsibilities
- Design and deploy machine learning models for production environments
- Develop and optimize algorithms for large-scale data processing
- Collaborate with data scientists to refine model performance
- Implement MLOps practices for model monitoring and lifecycle management
- Optimize model inference for low-latency and high-throughput applications
- Ensure reproducibility and scalability of ML pipelines
Requirements
- 5+ years of experience in machine learning and data science
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Strong understanding of statistical modeling and algorithm optimization
- Familiarity with MLOps tools and best practices