Job description
Position Title: Data Engineer - AI Deployment (Contract)
Location: Remote
Sector: Life Sciences
Contract Duration: 6 Months
Company Overview:
A global life science company is dedicated to improving health and wellness through cutting-edge research and innovative solutions. Their commitment to advancing medical science and patient care is reflected in continuous investment in technology and talent. As a part of this dynamic team, contractors have the opportunity to work with leading experts in the field and contribute to life-changing projects.
Position Overview:
The company is seeking a highly skilled and motivated Data Engineer to join the AI Deployment team on a contract basis. The ideal candidate will have a strong background in data engineering, cloud technologies, and AI integration. This role will be pivotal in deploying AI solutions across the global infrastructure, ensuring scalability, efficiency, and reliability.
Key Responsibilities:
Location: Remote
Sector: Life Sciences
Contract Duration: 6 Months
Company Overview:
A global life science company is dedicated to improving health and wellness through cutting-edge research and innovative solutions. Their commitment to advancing medical science and patient care is reflected in continuous investment in technology and talent. As a part of this dynamic team, contractors have the opportunity to work with leading experts in the field and contribute to life-changing projects.
Position Overview:
The company is seeking a highly skilled and motivated Data Engineer to join the AI Deployment team on a contract basis. The ideal candidate will have a strong background in data engineering, cloud technologies, and AI integration. This role will be pivotal in deploying AI solutions across the global infrastructure, ensuring scalability, efficiency, and reliability.
Key Responsibilities:
- AI Deployment and Integration:
- Design, develop, and deploy AI models using cloud-based services.
- Collaborate with data scientists and AI researchers to understand requirements and translate them into scalable solutions.
- Optimize AI/ML models for performance and deployment in a production environment.
- Data Pipeline Development:
- Build and maintain robust, scalable data pipelines to support AI initiatives.
- Ensure data integrity, quality, and availability for AI applications.
- Automate data workflows and integration processes.
- Cloud Infrastructure Management:
- Utilize AWS services such as ECS, Lambda, and Fargate for deploying and managing AI workloads.
- Ensure efficient resource utilization and cost management on AWS.
- Implement best practices for security and compliance in cloud environments
- Experience:
- Minimum of 3-5 years of experience in data engineering or related roles.
- Proven experience with cloud platforms, particularly AWS.
- Hands-on experience with AWS services such as ECS, Lambda, and Fargate.
- Proficiency in version control systems, specifically GIT.
- Technical Skills:
- Strong programming skills in Python, Java, or Scala.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Knowledge of machine learning frameworks and libraries (TensorFlow, PyTorch).
- Knowledge of CI/CD pipelines and DevOps practices.