Senior Machine Learning Infrastructure Developer
hace 7 días
We are seeking a highly skilled MLOps professional to join our team, with a strong background in cloud-based machine learning and software development.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models using Python and AWS Sagemaker.
- Create REST-based APIs for ML model deployment.
- Collaborate with customers and utilize excellent communication skills to ensure project success.
- Analyze large datasets using SQL and Pandas to identify trends and insights.
- Experience with containerization using Docker and orchestration using Kubernetes is highly desirable.
- Bonus points for experience with big data processing, TensorFlow/PyTorch models for computer vision and NLP, and agile project management tools like JIRA.
Requirements:
- At least 6 years of experience in software development and RESTful API design.
- Proficiency in Java and proficiency in Python, AWS Sagemaker, recommender systems, forecasting models, deep learning, and popular AI frameworks.
Work Details:
- Remote work arrangement from Mexico.
- Hybrid remote setup available in Guadalajara, Jalisco.
- Expected hours: 40 per week.
- Job Type: Contract.
Estimated Salary: $120,000 - $150,000 per year.
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