
Artificial Intelligence Specialist
1 day ago
We are seeking a highly skilled Artificial Intelligence Specialist to join our team. As a key member, you will be responsible for designing, building, and deploying robust AI models in a production environment.
- Design and develop end-to-end AI pipelines on cloud platforms.
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the entire AI lifecycle, including data ingestion, model training, validation, and deployment.
- Implement MLOps best practices to automate workflows and ensure model performance and reliability.
- Optimize AI models for performance, scalability, and cost efficiency on cloud platforms.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
- Stay current with the latest advancements in AI and cloud technologies.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in an AI 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).
- Strong problem-solving skills and the ability to work in a collaborative environment.
Benefits:
- A competitive salary and benefits package.
- Opportunities for professional growth and development.
Others:
The ideal candidate will have a strong background in AI and experience working with cloud technologies. They should also be proficient in programming languages such as Python and have knowledge of ML libraries and tools.
In addition to technical skills, the successful candidate will possess excellent communication and collaboration skills, with the ability to work effectively in a team environment.
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