
Senior Artificial Intelligence Specialist
2 days ago
We are seeking an experienced expert in designing, building, and deploying robust machine learning models to join our team.
About the Role:This position requires expertise in end-to-end machine learning pipelines on cloud platforms. The ideal candidate will be responsible for developing, testing, and implementing machine learning models that meet performance and business requirements.
The role also involves collaborating with data scientists to translate models and algorithms into production-ready code. Additionally, the selected candidate will manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
Key Responsibilities:- Design and Develop Machine Learning Pipelines: Design and develop end-to-end machine learning pipelines on cloud platforms.
- Collaborate with Data Scientists: Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage Machine Learning Lifecycle: Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
- Implement MLOps Best Practices: Implement MLOps best practices to automate workflows and ensure model performance and reliability.
To be successful in this role, you will need the following skills and qualifications:
- Bachelor's or Master's Degree: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Machine Learning Experience: 3+ years of experience in a machine learning or data science role.
- AWS Experience: Hands-on experience with AWS services, specifically SageMaker.
- Programming Skills: Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Containerization Experience: Experience with containerization technologies like Docker.
The following qualifications are highly desirable:
- Additional AWS Experience: Experience with other AWS services such as S3, Lambda, Glue, and Redshift.
- Certifications: Certifications such as AWS Certified Machine Learning – Specialty.
- Model Serving Experience: Experience with model serving frameworks (e.g., Flask, FastAPI).
- Version Control Experience: Experience with version control systems like Git.
We offer a dynamic and challenging work environment with opportunities for growth and development. Our team is passionate about innovation and excellence, and we are committed to delivering high-quality results.
If you are a motivated and experienced machine learning engineer looking for a new challenge, please submit your application.
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