Machine Learning Infrastructure Solutions Architect
6 days ago
Company Background: Welcome to Unreal Gigs, a leading innovator in machine learning infrastructure. Our mission is to empower data scientists and engineers with cutting-edge technology and expertise.
Position Summary: As a Machine Learning Infrastructure Solutions Architect, you will play a critical role in designing and optimizing our machine learning infrastructure to support the needs of our organization. You will work closely with cross-functional teams to ensure the reliability, scalability, and efficiency of our systems.
About the Role:
- Infrastructure Design: Design scalable and reliable infrastructure solutions to support machine learning model development, training, and deployment.
- Model Training and Experimentation: Develop and maintain infrastructure for model training and experimentation, including distributed computing environments and GPU clusters.
- Model Deployment and Serving: Implement and manage infrastructure for deploying and serving machine learning models in production environments, ensuring low-latency and high availability.
- Data Processing and Feature Engineering: Develop pipelines and tools for data processing, feature engineering, and preprocessing to support machine learning model development.
- Infrastructure Automation: Implement infrastructure automation and orchestration using tools such as Kubernetes, Docker, Terraform, and Ansible to streamline deployment and management processes.
- Performance Optimization: Optimize infrastructure performance for speed, scalability, and cost-effectiveness, leveraging cloud services and distributed computing technologies.
- Security and Compliance: Implement security controls and compliance measures to protect sensitive data and ensure compliance with regulatory requirements in machine learning workflows.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, or related field.
- Strong background in infrastructure engineering, with hands-on experience in designing, building, and optimizing infrastructure solutions for machine learning.
- Proficiency in programming languages such as Python, Java, or Go, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML).
- Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Compensation and Benefits:
- Salary: The estimated annual salary for this position is $175,000, based on industry standards and the candidate's qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- 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 team-building activities and social events.
- Opportunities for career growth and advancement within the company.
- Exciting projects with real-world impact in the field of artificial intelligence and machine learning.
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