
Data Scientist Specialist
5 days ago
We are seeking a highly skilled Data Scientist Specialist to join our team. The successful candidate will have expertise in designing, developing, and implementing large-scale machine learning applications.
Key Responsibilities:
- Design, develop, and implement machine learning models using Python-based ML pipelines for data preprocessing, model training, and deployment.
- Collaborate with cross-functional teams to understand business requirements and develop AI solutions.
- Partner with data scientists and product teams to build and deploy machine learning models.
- Implement and optimize AI technologies to enhance current processes, security, and performance.
Requirements:
The ideal candidate will have a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent experience/training.
The following qualifications are preferred but not required:
- A Master's degree in Computer Science, Computer Engineering, or related technical discipline.
- 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications.
- Airline Industry experience.
Skillset:
The successful candidate will have proficiency in:
- Python.
- Azure AI Foundry services, including Azure ML.
- Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning.
- Cloud-based development: Microsoft Azure, AWS.
- Web Servers.
- Web Services: REST/SOAP (JSON/WSDL/XML).
- AI/ML Frameworks: MLOps Tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes.
- Build/deployment tools.
- Post-deployment model maintenance: observability, monitoring, drift detection.
Bonus Skills:
The ideal candidate will also have knowledge of:
- Vector Databases.
- Data pipelines, ETL, distributed computing frameworks.
- Generative-based AI solutions using Large-Language Models (LLMs).
- Prompt Engineering.
Why Join Us?
We offer a collaborative work environment, opportunities for growth and development, and a competitive compensation package.
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