Artificial Intelligence Infrastructure Specialist
1 day ago
At Unreal Gigs, we're seeking an exceptional Artificial Intelligence Infrastructure Specialist to join our team. This role is perfect for a skilled professional who can design, automate, and manage robust machine learning pipelines that power AI-driven products.
About the JobWe estimate the salary for this position to be around $140,000 - $170,000 per year, depending on experience and location.
This is a full-time opportunity with competitive benefits, including comprehensive health insurance, paid time off, and opportunities for career growth and development.
Main Responsibilities:- Design and Automation of ML Pipelines: Develop automated machine learning pipelines for data ingestion, preprocessing, model training, and deployment using tools like Kubernetes, Docker, Jenkins, or GitLab CI.
- Model Deployment and Monitoring: Deploy machine learning models into production environments and ensure they perform efficiently at scale. Set up monitoring systems to track model performance, detect drift, and retrain models when necessary.
- Optimization of Model Training and Scalability: Collaborate with machine learning engineers to optimize model training processes, leveraging distributed computing and parallelism. Implement solutions to scale model training and deployment using cloud platforms (AWS, GCP, Azure) and container orchestration tools.
- Collaboration with Data Scientists and Engineers: Work closely with data scientists and machine learning engineers to understand their needs, improve workflows, and integrate model artifacts into production environments.
- Infrastructure as Code and Automation: Automate the provisioning, scaling, and maintenance of AI infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.
- MLOps and DevOps Expertise: Strong experience with machine learning operations (MLOps) and DevOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation.
- Cloud Platforms and Infrastructure: Expertise in cloud platforms such as AWS, GCP, or Azure, with experience in building scalable infrastructure for machine learning workloads.
- Programming and Automation Tools: Proficiency in scripting and programming languages like Python, Bash, and Terraform. Experience with automation tools (Ansible, Terraform, Jenkins) and machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
- Data and Model Monitoring: Strong experience with monitoring tools like Prometheus, Grafana, or ELK Stack to track data pipelines and model performance in production environments.
- Collaboration and Communication: Excellent communication skills, with the ability to work closely with data scientists, software engineers, and IT teams to streamline ML workflows and resolve deployment challenges.
- Comprehensive Health Insurance: We offer a range of medical, dental, and vision insurance plans to keep you and your loved ones healthy and protected.
- Paid Time Off: Enjoy generous vacation, sick leave, and 20 paid holidays per year, so you can recharge and spend quality time with family and friends.
- Flexible Work Schedules: Our flexible work schedules allow you to balance work and personal life, ensuring you have time for everything that matters.
- Professional Development Opportunities: We invest in our employees' growth and development, offering training, certification reimbursement, and career advancement programs.
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