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Senior AI Engineer

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Summary

Senior AI Engineer (placed via Placements24) on a client's fully remote team: designs, builds, and deploys production AI/ML systems, develops advanced ML algorithms, and mentors junior engineers. Core stack: Python with TensorFlow/PyTorch/scikit-learn, cloud platforms (AWS/Azure/GCP), and CI/CD best practices.

About the Role

Our client is seeking a highly experienced Senior AI Engineer to join their thriving, fully remote team. This role is instrumental in designing, developing, and deploying sophisticated artificial intelligence and machine learning solutions that drive innovation and solve complex business challenges. You will leverage your deep technical expertise to build scalable AI systems, mentor junior engineers, and contribute to shaping the future of AI within the organization. This is an exceptional opportunity for a seasoned AI professional to make a significant impact in a collaborative, distributed environment.

Key Responsibilities

  • Design, build, and maintain production-level AI and machine learning systems and infrastructure.
  • Develop and implement advanced ML algorithms for various applications, including predictive modeling, recommendation systems, and automation.
  • Optimize AI models and systems for performance, scalability, and efficiency.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing products and workflows.
  • Provide technical leadership, mentorship, and guidance to junior engineering team members.

Requirements

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a strong track record of deploying models to production.
  • Expertise in programming languages such as Python, and proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of software engineering best practices, including CI/CD, testing, and version control.
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed systems.

Benefits

  • Highly competitive salary and performance-based bonuses.
  • Fully remote work flexibility, allowing you to work from anywhere.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous allowance for professional development and continuous learning.
  • A dynamic and supportive team culture focused on innovation and cutting-edge AI development.

Skills

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