Senior AI Infrastructure Engineer

Securitas Security Services • Parsippany, NJ

76d • Remote

About The Position

As part of the IT Service Delivery team, the Senior AI Developer/Specialist leverages artificial intelligence and machine learning techniques to enhance and automate our IT infrastructure operations. The incumbent’s contributions are pivotal in improving service efficiency, reducing manual workloads, and driving innovation in our infrastructure management and business processes.

Requirements

• Education: Bachelor’s degree in computer science, Information Technology, or a related field required.
• Experience: 3 years’ experience in AI/ML development, ideally with a focus on IT infrastructure or operations
• Proficiency in programming languages such as Python, R, or Java
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Familiarity with IT infrastructure components, including servers, networks, and cloud services
• Knowledge of data analysis and visualization tools
• Excellent planning, organization and time management skills
• Ability to work independently and manage multiple projects simultaneously
• Strong customer service and results orientation
• Ability to interact effectively at all levels and across diverse cultures
• Ability to adapt to changes in the external environment and organization

Nice To Haves

• A master’s degree is a plus
• Experience with AIOps platforms and tools
• Certifications in AI/ML or IT infrastructure (e.g., AWS Certified Machine Learning, Microsoft Certified: Azure AI Engineer Associate)
• Familiarity with DevOps practices and tools

Responsibilities

• AI-Driven Automation: Develop and implement AI/ML models to automate routine IT operations, including system monitoring, incident detection, and resolution processes.
• Infrastructure Optimization: Analyze existing IT infrastructure to identify inefficiencies and apply AI solutions to optimize resource utilization and performance.
• Predictive Maintenance: Utilize machine learning algorithms to predict potential system failures or performance issues, enabling proactive maintenance and minimizing downtime.
• Data Analysis: Collect and analyze large datasets from various infrastructure components to uncover insights that inform decision-making and strategic planning.
• Collaboration: Work closely with cross-functional teams, including IT operations, network engineers, and security professionals, to integrate AI solutions seamlessly into existing workflows.
• Continuous Improvement: Stay abreast of emerging AI technologies and methodologies to continuously enhance the effectiveness of our infrastructure services.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees