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Data Engineer - Outside IR-35 Contract

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:
  1. 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.
  2. 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.
  3. 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
Required Qualifications
  • 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.