AI Engineer - up to $160,000 - Fully Remote
Amicus have partnered with an innovative technology company that is transforming how organizations harness data driven insights. They develop advanced AI and analytics platforms that help businesses automate processes, optimize operations, and gain a deeper understanding of their performance through intelligent, realtime decisionmaking. With a focus on scalability, performance, and usercentric design, this organization empowers clients across multiple sectors including healthcare, logistics, finance, and research to achieve measurable impact using artificial intelligence and machine learning technologies.
As an AI Engineer, you’ll play a key role in designing, implementing, and optimizing AI-driven systems that process complex data at scale. You will work closely with software engineers, data scientists, and product teams to build production-ready ML pipelines, deploy AI models, and enhance model performance. This role requires hands-on experience with AI frameworks, data engineering principles, and MLOps practices to ensure robust, scalable, and efficient deployment of AI models in production environments.
Responsibilities:
• Design and develop scalable AI and ML models to solve complex business problems
• Implement and optimize end-to-end machine learning pipelines (data ingestion, training, evaluation, deployment)
• Collaborate with data engineers to ensure seamless data flow from source systems to production environments
• Work with MLOps frameworks to automate deployment and monitoring of AI models
• Research and implement state-of-the-art algorithms in machine learning, computer vision, or natural language processing
• Monitor model performance, diagnose issues, and refine models for accuracy and efficiency
• Support the development of APIs and services to integrate AI capabilities into client-facing applications
• Contribute to technical documentation and best practices for AI system design and scalability
Requirements:
• 4+ years of experience as an AI Engineer, ML Engineer, or Data Scientist
• Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience building and deploying models using cloud platforms (AWS, GCP, or Azure)
• Solid understanding of MLOps concepts (CI/CD for ML, model versioning, monitoring)
• Experience with data engineering tools such as Spark, Kafka, or Airflow is a plus
• Strong problem-solving skills and ability to translate business needs into technical solutions
• Excellent communication and collaboration skills
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
Package:
As well as a competitive salary of up to $160,000 (DOE), this role offers a world-class benefits package including flexible working hours, generous holiday allowance, and the opportunity to work with cutting-edge AI technologies in a fully remote environment.
AI Engineer - up to $160,000 - Fully Remote