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Machine Learning Engineer - Nectar Social
Machine Learning Engineer
Machine Learning Engineer to build and deploy scalable ML models with MLOps pipelines and cloud integration.
About the role
Key Responsibilities
- Develop and deploy machine learning models for production environments
- Design and implement MLOps pipelines for model training and deployment
- Optimize models for performance, scalability, and cost efficiency
- Collaborate with data engineers to ensure robust data pipelines
- Monitor model performance and implement continuous improvement strategies
- Research and implement cutting-edge ML techniques and algorithms
Requirements
- 3+ years of experience in machine learning engineering
- Proficiency in Python and ML frameworks (Scikit-learn, TensorFlow)
- Experience with MLOps tools and cloud platforms
- Strong understanding of data engineering principles
- Familiarity with model deployment and serving frameworks
Skills
pythonscikit learntensorflowmlopsdata engineeringcloud platforms