
Senior Cloud AI Engineer
3 days ago
Job Summary
We are seeking an experienced Machine Learning Developer to join our team. The ideal candidate will design, build and deploy robust ML models in a production environment.
Responsibilities:
- Develop end-to-end machine learning pipelines on cloud platforms.
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the machine learning lifecycle, including data ingestion, model training, validation and deployment.
- Implement best practices to automate workflows and ensure model performance and reliability.
- Optimize ML models for performance, scalability and cost efficiency on cloud platforms.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- 3+ years of experience in a machine learning or data science role.
- Hands-on experience with cloud services, specifically SageMaker.
- Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with containerization technologies like Docker.
- Solid understanding of MLOps principles and tools for CI/CD.
- Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
Preferred Qualifications:
- Experience with other cloud services such as S3, Lambda, Glue and Redshift.
- Certifications such as AWS Certified Machine Learning – Specialty.
- Experience with model serving frameworks (e.g., Flask, FastAPI).
- Experience with version control systems like Git.
- Familiarity with agile development methodologies.
About the Role
This is an exciting opportunity to work on innovative solutions using your expertise in machine learning and cloud technologies.
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