Lead Machine Learning Infrastructure Engineer

April 16

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Description

• As the Lead Machine Learning Infrastructure Engineer, you'll play a pivotal role in leading our machine learning infrastructure initiatives and driving the design, development, and optimization of our infrastructure solutions. You'll lead a team of skilled engineers, collaborating closely with cross-functional teams to deliver high-quality, scalable, and reliable infrastructure that supports our machine learning workflows. If you're a seasoned engineer with expertise in machine learning infrastructure technologies and a proven track record of leadership in delivering successful projects, we invite you to lead our team in this exciting opportunity.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. • 8+ years of experience in infrastructure engineering, with a focus on machine learning infrastructure. • Proven leadership experience, with a track record of successfully leading machine learning infrastructure teams and delivering complex projects. • Expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform. • Strong programming skills in languages such as Python, Java, or Scala, with experience in distributed computing frameworks like Apache Spark or TensorFlow. • Experience with containerization technologies such as Docker and container orchestration platforms such as Kubernetes. • Strong understanding of machine learning concepts and techniques, with experience deploying and managing machine learning models in production environments. • Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex infrastructure issues. • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Lead Machine Learning Infrastructure Engineers typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications. • Comprehensive benefits package, including health insurance, retirement plans, and wellness programs. • Flexible work arrangements, including remote work options and flexible hours. • Generous vacation and paid time off. • Professional development opportunities, including access to training programs, conferences, and workshops. • State-of-the-art technology environment with access to cutting-edge tools and resources. • Vibrant and inclusive company culture with opportunities for growth and advancement. • Exciting projects with real-world impact at the forefront of AI-driven innovation.