Securitas Security Services USA, Inc.
Senior AI Infrastructure Engineer
Securitas Security Services USA, Inc., Los Angeles, California, United States, 90079
Overview
JOB SUMMARY:
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. Base pay range : $140,000.00/yr - $140,000.00/yr. This is a remote position. 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. Minimum Qualifications at Entry
Education: Bachelor’s degree in computer science, Information Technology, or a related field required. A master’s degree is a plus Experience: 3 years’ experience in AI/ML development, ideally with a focus on IT infrastructure or operations Preferred Qualifications 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 Competencies
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 Working Conditions
With or Without Reasonable Accommodation, must have the physical and mental capacity to perform all essential functions Maintaining composure in dealing with authorities, executives, clients, staff and the public Must undergo and meet company standards for background and reference checks, controlled substance testing, and behavioral assessment Ability to handle multiple tasks concurrently Computer usage; handling and being exposed to sensitive and confidential information Regular talking and hearing; frequent sitting; occasional walking, reaching, stooping, kneeling, crouching and crawling Close vision, distance vision, and ability to adjust focus Work primarily performed in an office or hybrid environment Securitas is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, pregnancy, genetic information, disability, status as a protected veteran, or any other applicable legally protected characteristic. Benefits
Retirement plan Employer-provided medical and dental coverage Company-paid life insurance Voluntary life and disability insurance Employee assistance plan Securitas Saves discount program Paid holidays Paid time away from work Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Security and Investigations
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JOB SUMMARY:
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. Base pay range : $140,000.00/yr - $140,000.00/yr. This is a remote position. 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. Minimum Qualifications at Entry
Education: Bachelor’s degree in computer science, Information Technology, or a related field required. A master’s degree is a plus Experience: 3 years’ experience in AI/ML development, ideally with a focus on IT infrastructure or operations Preferred Qualifications 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 Competencies
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 Working Conditions
With or Without Reasonable Accommodation, must have the physical and mental capacity to perform all essential functions Maintaining composure in dealing with authorities, executives, clients, staff and the public Must undergo and meet company standards for background and reference checks, controlled substance testing, and behavioral assessment Ability to handle multiple tasks concurrently Computer usage; handling and being exposed to sensitive and confidential information Regular talking and hearing; frequent sitting; occasional walking, reaching, stooping, kneeling, crouching and crawling Close vision, distance vision, and ability to adjust focus Work primarily performed in an office or hybrid environment Securitas is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, pregnancy, genetic information, disability, status as a protected veteran, or any other applicable legally protected characteristic. Benefits
Retirement plan Employer-provided medical and dental coverage Company-paid life insurance Voluntary life and disability insurance Employee assistance plan Securitas Saves discount program Paid holidays Paid time away from work Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries Security and Investigations
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