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Job Overview

We are looking for a Cloud AI Engineer to build, deploy, and manage AI and Machine Learning solutions on cloud platforms. The successful candidate will optimize cloud infrastructure, automate AI workflows, and ensure high-performance AI applications.

Key Responsibilities

• Deploy AI and Machine Learning models on AWS, Azure, and Google Cloud.
• Build scalable cloud-native AI applications and APIs.
• Implement MLOps pipelines for continuous integration and deployment.
• Manage cloud infrastructure, storage, networking, and security.
• Monitor model performance and optimize cloud resources.
• Collaborate with data scientists and software engineers to productionize AI solutions.
• Automate workflows using Infrastructure as Code (Terraform, CloudFormation).

Required Qualifications

• Bachelor's degree in Computer Science, Cloud Computing, Engineering, or related field.
• 3+ years of experience in cloud engineering or AI infrastructure.
• Strong knowledge of AWS, Azure, or Google Cloud services.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Proficiency in Python and cloud automation tools.
• Understanding of Machine Learning lifecycle and model deployment.

Preferred Skills

• Experience with Generative AI and LLM deployment.
• Knowledge of Databricks, Vertex AI, SageMaker, or Azure AI Services.
• Cloud certifications (AWS, Azure, GCP).

Benefits

• Competitive salary ($110K–$160K)
• Remote work opportunities
• Paid training and certification support
• Health and wellness benefits
• Annual performance bonuses

Job Summary

We are seeking a highly motivated Predictive Analytics Scientist to develop advanced analytical models and AI-driven solutions that support strategic business decisions. The ideal candidate will leverage statistical modeling, machine learning, data mining, and predictive analytics techniques to identify trends, forecast outcomes, and generate actionable insights from large and complex datasets.

Key Responsibilities

• Design, develop, and deploy predictive models using machine learning and statistical techniques.
• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.
• Build forecasting models for customer behavior, sales, demand planning, risk assessment, and operational efficiency.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Develop and maintain data pipelines, feature engineering processes, and model monitoring frameworks.
• Evaluate model performance and continuously improve prediction accuracy.
• Present findings, recommendations, and insights to technical and non-technical stakeholders.
• Conduct A/B testing and experimental analysis to measure business impact.
• Stay current with advancements in AI, machine learning, and predictive analytics technologies.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• 3+ years of experience in predictive analytics, machine learning, or data science.
• Strong knowledge of statistical modeling, forecasting, regression, classification, clustering, and optimization techniques.
• Proficiency in Python, R, SQL, and data visualization tools.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Generative AI, Large Language Models (LLMs), and AI-powered analytics solutions.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience working with big data technologies including Spark, Hadoop, or Databricks.
• Familiarity with MLOps, model deployment, and monitoring practices.

Technical Skills

• Predictive Modeling
• Machine Learning
• Statistical Analysis
• Time Series Forecasting
• Data Mining
• Python, R, SQL
• Tableau, Power BI
• AI & Generative AI
• Cloud Computing
• MLOps

Success Metrics

• Improved forecasting accuracy and business performance.
• Increased efficiency through data-driven decision-making.
• Successful deployment and adoption of predictive models.
• Delivery of actionable insights that generate measurable business value.

Job Overview

We are looking for a strategic and data-driven Data Science Product Manager to lead AI and machine learning product initiatives. The ideal candidate will bridge the gap between data science, engineering, and business teams to deliver impactful AI-powered products.

You will define product vision, manage the roadmap, and ensure successful deployment of data-driven solutions.

Key Responsibilities

• Define product vision and roadmap for AI/ML-based products

• Work closely with data scientists and engineers to build ML models using tools like TensorFlow, PyTorch, and Scikit-learn

• Translate business requirements into technical product specifications

• Prioritize features based on data insights and market research

• Collaborate with DevOps teams for model deployment and monitoring

• Use analytics tools like Tableau and Power BI for performance tracking

• Conduct A/B testing and measure product performance metrics

• Communicate product updates to stakeholders and leadership

Required Skills

• Strong understanding of product management principles

• Experience working with AI/ML teams

• Knowledge of data analysis, SQL, and Python basics

• Experience with Agile/Scrum methodologies

• Strong analytical and decision-making skills

• Excellent communication and leadership abilities

Preferred Qualifications

• MBA or Master’s degree in Data Science, Business, or related field

• Experience launching AI-driven products

• Familiarity with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform

• Understanding of MLOps and data governance

 Why Join Us?

• Opportunity to lead innovative AI products

• Competitive compensation package

• High-growth and collaborative environment

• Career advancement opportunities

Job Description This position within the Division of Marketing’s Digital Team joins a team of front-end and back-end web developers and platforms team to help host, secure, and maintain the central web presence of Syracuse University. The DevOps Specialist will work in collaboration w/Marketing Technology & Web Development Teams to assist with on-premise and cloud containerized deployments. This position is responsible for assisting the development team to automate the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner. This position is part of a high performing team providing a stable and reliable web hosting environment for various websites for Syracuse University, including flagship channels (www.syracuse.edu), schools and colleges, and business units. The DevOps Specialist works with central IT to ensure proper security, code review and University development best practice is followed. The DevOps Specialist will have trusted access to production, development and testing environments. This includes high-visibility properties in the central marketing portfolio in addition to hundreds of other websites that are hosted using the university’s web hosting platform. The scope of services in these responsibilities includes web, application, database and legacy systems. Education and Experience

• Bachelors degree or equivalent amount of education and work experience.
• One (1) plus years of work experience related to software development and containerized applications with a focus on CI/CD and application monitoring.

Skills and Knowledge

• Experience with DevOps (CI/CD) pipeline concepts and tools such as GitHub, Gitlab, Docker, and Jenkins.
• Experience with one or more scripting languages (Bash, Python, Go).
• Understanding of Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Familiarity with configuration management systems (Ansible) to automate infrastructure provisioning and application deployment tasks across varied language stacks.
• Proficient in source code management using Git, including branching strategies, merging workflows, and code reviews for projects in Python, PHP, JavaScript, and SQL.
• Familiarity with various methods to audit site performance, monitor uptime and prevent intrusion preferred.
• Knowledge of networking fundamentals and experience troubleshooting web server connections and routing.
• Familiarity with AWS, Azure, or other cloud hosting preferred.
• Experience with WordPress, Django, and identity providers, such as Azure Entra.
• Experience documenting systems, architecture and solutions.
• Excellent communication skills, the ability to work well with others and independently as necessary.
• Ability to prioritize projects, evaluate requests and offer solutions.

Responsibilities

• Work with web development and marketing technology/platform teams to assist with assist with on-premise and cloud containerized deployments, automating the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner.
• Work with central IT to ensure proper security, code review and University development best practice is followed.
• Break/fix incident response and support of division, campus community, and external vendor partners.
• Craft process, best practice and support documentation as required.
• Quality assurance (QA) test sites and systems in collaboration with web development team for functionality and accessibility.

Physical Requirements Not Applicable Tools/Equipment Not Applicable Application Instructions In addition to completing an online application, please attach a resume and cover letter. About Syracuse University Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience. The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. About The Syracuse Area Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal. EEO Statement Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities. Commitment to Supporting and Hiring Veterans Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members. Commitment to a Diverse and Inclusive Campus Community Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.

Job Summary

We are seeking a Cybersecurity Automation Engineer to design, develop, and maintain automated security solutions that enhance our organization’s ability to detect, respond to, and prevent cyber threats. This role focuses on reducing manual effort, improving response times, and strengthening overall security posture through automation and orchestration.

Key Responsibilities

• Design and implement security automation workflows across detection, response, and remediation processes
• Develop scripts and tools to automate repetitive cybersecurity tasks
• Integrate security tools (SIEM, SOAR, EDR, vulnerability scanners) into unified automated workflows
• Build and maintain playbooks for incident response automation
• Collaborate with SOC, DevOps, and IT teams to streamline security operations
• Monitor automated systems and continuously optimize performance and accuracy
• Conduct threat analysis and improve automation based on emerging threats
• Ensure automation solutions comply with security standards and policies
• Document processes, workflows, and automation logic

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, or related field (or equivalent experience)
• Strong programming/scripting skills (Python, PowerShell, or similar)
• Experience with security tools such as SIEM, SOAR, IDS/IPS, EDR
• Knowledge of cybersecurity frameworks (NIST, ISO 27001, MITRE ATT&CK)
• Familiarity with APIs, automation frameworks, and integration techniques
• Understanding of cloud security (AWS, Azure, or GCP)
• Experience with CI/CD pipelines and DevSecOps practices
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR)
• Knowledge of infrastructure-as-code tools (Terraform, Ansible)
• Certifications such as CEH, CISSP, Security+, or GSEC
• Experience in threat intelligence integration and automation

Key Competencies

• Automation mindset with a focus on efficiency and scalability
• Strong collaboration and communication skills
• Ability to work in fast-paced, security-driven environments
• Continuous learning and adaptability to evolving threats

What We Offer

• Competitive salary and benefits
• Opportunity to work on cutting-edge security technologies
• Professional development and certification support
• Flexible work environment

We are looking for an experienced Senior AI Data Engineer to design, build, and optimize scalable data infrastructure that powers advanced AI and Machine Learning solutions. You will work closely with Data Scientists, ML Engineers, and DevOps teams to deploy production-ready AI systems that drive business impact.

This role requires strong expertise in data engineering, cloud platforms, big data technologies, and AI/ML pipeline development.

 Key Responsibilities

• Design and develop scalable data pipelines for AI and ML workloads

• Build and maintain ETL/ELT processes for structured and unstructured data

• Develop and optimize real-time and batch data processing systems

• Deploy and manage ML models in production environments

• Implement data governance, security, and compliance standards

• Collaborate with cross-functional teams to translate business needs into technical solutions

• Optimize performance of large-scale data systems

• Mentor junior data engineers and contribute to architectural decisions

 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or related field

• 5+ years of experience in data engineering or AI infrastructure roles

• Strong programming skills in Python and SQL

• Experience with big data tools like Apache Spark, Hadoop, or Kafka

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud

• Experience building ML pipelines using TensorFlow or PyTorch

• Strong understanding of data modeling and database design

• Knowledge of containerization tools like Docker and Kubernetes

Preferred Skills

• Experience with MLOps practices

• Knowledge of CI/CD pipelines

• Experience with data warehousing tools (Snowflake, Redshift, BigQuery)

• Strong problem-solving and leadership skills

 What We Offer

• Competitive salary ($160K – $200K)

• Performance bonuses

• Health, dental, and vision insurance

• Flexible remote work options

• Career growth in AI and advanced analytics

• Opportunity to work on cutting-edge AI project

job Overview

We are seeking a highly experienced AI Platform Architect to design, build, and scale enterprise-level AI platforms. This role focuses on creating robust infrastructure and frameworks that enable seamless development, deployment, and management of AI and machine learning solutions across the organization.

Key Responsibilities

• Design and develop scalable AI/ML platforms and infrastructure

• Build and manage end-to-end AI pipelines (data → model → deployment)

• Ensure structured AI architecture alignment across all systems

• Lead platform strategy for MLOps, automation, and model lifecycle management

• Integrate AI platforms with cloud environments (AWS, Azure, GCP)

• Ensure platform reliability, scalability, and security

• Collaborate with data scientists, engineers, and DevOps teams

• Optimize performance of AI systems and infrastructure

• Define standards, tools, and frameworks for AI platform development

  Requirements

  • Strong experience in AI platform architecture and engineering

  • Expertise in MLOps, CI/CD pipelines, and model deployment

  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)

  • Strong knowledge of data engineering, distributed systems, and APIs

  • Experience with tools like Kubernetes, Docker, and workflow orchestration

  • Understanding of structured AI architecture alignment

  • Recognized certifications in cloud or AI technologies (preferred)

  • Strong leadership and problem-solving skills

  Preferred Qualifications

  • Experience with large-scale enterprise AI platforms

  • Knowledge of Generative AI and LLM infrastructure

  • Familiarity with AI governance, monitoring, and compliance frameworks

  • Experience in building reusable AI frameworks and services

  • What We Offer

    • Competitive salary ($170K – $230K+)

    • Opportunity to build and lead advanced AI platforms

    • Work with cutting-edge technologies in AI and cloud

    • Career growth in high-impact enterprise AI roles

Job Summary

We are seeking a talented and experienced Machine Learning Security Engineer to join our growing technology team. The ideal candidate will be responsible for developing secure AI/ML systems, identifying security risks in machine learning models, and implementing advanced cyber security solutions to protect data, applications, and infrastructure.

Key Responsibilities

• Design and develop secure Machine Learning and AI systems
• Identify vulnerabilities in AI/ML models and applications
• Monitor systems for cyber threats and suspicious activities
• Implement security measures for data protection and model integrity
• Conduct penetration testing and security assessments
• Work with large datasets and AI-driven security tools
• Collaborate with data scientists, developers, and security teams
• Improve threat detection using AI and automation technologies
• Maintain security compliance and documentation

Required Skills

• Strong understanding of Machine Learning and Artificial Intelligence
• Knowledge of Cyber Security principles and best practices
• Experience with Python, TensorFlow, PyTorch, or Scikit-learn
• Familiarity with SIEM tools, firewalls, and cloud security
• Knowledge of ethical hacking and vulnerability management
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Cyber Security, or related field
• 2–5 years of experience in Machine Learning, AI Security, or Cyber Security
• Certifications such as CEH, Security+, AWS Security, or AI certifications are a plus

Benefits

• Competitive salary package
• Flexible work environment
• Career growth opportunities
• Training and certification support
• Opportunity to work on cutting-edge AI security technologies

We are seeking a highly skilled Cyber Security & Artificial Intelligence Engineer to design and implement intelligent security systems that proactively detect, analyze, and prevent cyber threats.

This role combines advanced cybersecurity practices with AI-driven threat detection, automation, and response systems. The ideal candidate will have hands-on experience in security operations, machine learning integration, and secure infrastructure design.

Key Responsibilities

• Design AI-powered threat detection and anomaly detection systems

• Develop machine learning models for intrusion detection and fraud prevention

• Monitor and respond to security incidents using SIEM tools

• Implement automated threat intelligence and response workflows

• Conduct vulnerability assessments and penetration testing

• Secure cloud environments (AWS, Azure, GCP)

• Integrate AI models into real-time security monitoring systems

• Develop predictive security analytics dashboards

• Collaborate with DevOps and engineering teams to implement secure architectures

• Stay updated with emerging cyber threats and AI security advancements

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Cyber Security, Computer Science, Artificial Intelligence, or related field

• 4+ years of experience in cybersecurity or AI-based security systems

• Strong knowledge of network security, firewalls, IDS/IPS, and SOC operations

• Programming experience in Python

• Experience with machine learning libraries (TensorFlow or PyTorch)

• Familiarity with SIEM tools (Splunk, ELK, or similar)

• Understanding of threat modeling and risk assessment

• Experience with automation and scripting for security operations

• Knowledge of cloud security best practices

Preferred Qualifications

• Certifications such as CEH, CISSP, Security+, or equivalent

• Experience with AI-driven threat intelligence platforms

• Knowledge of MLOps and secure AI deployment

• Experience with container security (Docker, Kubernetes)

Benefits

• Competitive compensation package

• Health, dental, and vision insurance

• Flexible working environment

• Opportunity to work on cutting-edge AI security solutions

• Career growth in advanced cybersecurity and AI research

We are seeking a visionary Director of AI & Data Science to lead enterprise-level artificial intelligence initiatives and drive innovation through advanced machine learning solutions. This role requires a strategic thinker with deep technical expertise and strong leadership capabilities to build scalable AI systems that directly impact revenue, operations, and customer experience.

The ideal candidate will oversee the full AI lifecycle — from research and model development to deployment and optimization — while managing a high-performing team of data scientists, ML engineers, and analysts.

Key Responsibilities

AI Strategy & Leadership

• Define and execute the company’s AI roadmap

• Lead and mentor a team of data scientists and ML engineers

• Collaborate with executive leadership to align AI initiatives with business goals

• Drive innovation in Generative AI, NLP, Computer Vision, and Predictive Analytics

Model Development & Deployment

• Architect and deploy scalable ML and deep learning models

• Oversee model lifecycle management and MLOps practices

• Ensure production-grade AI systems with high reliability and performance

• Implement responsible AI and governance frameworks

Data & Infrastructure

• Work with data engineering teams to build scalable data pipelines

• Optimize cloud-based AI infrastructure (AWS, Azure, GCP)

• Manage big data environments (Spark, Hadoop)

Business Impact

• Translate complex AI solutions into measurable business value

• Present AI strategies and insights to C-level executives

• Identify new AI-driven revenue opportunities

Required Qualifications

• Master’s or PhD in Computer Science, AI, Data Science, or related field

• 8+ years of experience in AI/ML roles

• Strong expertise in Python, TensorFlow, PyTorch

• Experience deploying large-scale AI systems in production

• Proven leadership experience managing technical teams

• Deep understanding of ML algorithms, deep learning, NLP, and LLMs

Preferred Qualifications

• Experience with Generative AI and Large Language Models

• Published research or patents in AI

• Experience building AI products from scratch

• Strong business and financial acumen

Core Skills

• AI Strategy & Architecture

• Machine Learning & Deep Learning

• MLOps & Model Deployment

• Cloud AI Infrastructure

• Team Leadership & Stakeholder Communication

Compensation & Benefits

• Competitive salary: $200,000 – $250,000

• Performance bonuses & equity options

• Health, dental & vision insurance

• Flexible work environment

• Executive leadership growth opportunities

We are seeking an experienced AI Project Manager to lead the planning, execution, and delivery of AI-driven initiatives. The ideal candidate will bridge the gap between business goals, data science teams, and engineering stakeholders to ensure AI solutions are delivered on time, within scope, and with measurable impact.

Key Responsibilities

• Lead end-to-end AI and machine learning projects from ideation to deployment

• Collaborate with data scientists, engineers, product managers, and business teams

• Define project scope, timelines, budgets, and success metrics

• Translate business requirements into AI project roadmaps

• Manage risks, dependencies, and stakeholder expectations

• Ensure ethical AI practices, data governance, and compliance standards

• Track KPIs and report progress to leadership

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

• 3–6 years of experience in project management (AI/tech projects preferred)

• Strong understanding of AI/ML concepts and workflows

• Experience with Agile, Scrum, or hybrid project management methodologies

• Excellent communication and stakeholder management skills

• Proficiency in tools like Jira, Confluence, Asana, or similar

Preferred Qualifications

• PMP, Scrum Master, or AI-related certifications

• Experience working with cloud platforms (AWS, Azure, GCP)

• Exposure to AI governance, model lifecycle management, or MLOps

Salary Range (USA – 2026)

$115,000–$145,000 per year (based on experience and location)

Why Join Us?

• Work on cutting-edge AI initiatives

• Collaborate with top AI and data professionals

• Competitive compensation and growth opportunities

• High-impact role shaping AI-driven business outcomes

We are looking for a results-driven AI Product Manager to lead the development and launch of AI-powered products and features. This role requires a strong mix of product strategy, technical understanding of AI/ML, and customer-centric thinking to transform data and algorithms into impactful business solutions.

Key Responsibilities

• Define product vision, roadmap, and strategy for AI-based products

• Collaborate with data scientists, engineers, designers, and business teams

• Translate business needs into clear product requirements and user stories

• Prioritize features based on customer value, feasibility, and business impact

• Oversee the AI product lifecycle from concept to deployment and iteration

• Monitor product performance using KPIs and user feedback

• Ensure responsible AI practices, data privacy, and compliance standards

• Communicate product updates and strategy to stakeholders and leadership

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business, or related field

• 3–7 years of experience in product management (AI/ML products preferred)

• Strong understanding of AI, machine learning, and data-driven products

• Experience with Agile/Scrum product development methodologies

• Excellent analytical, communication, and decision-making skills

• Ability to work cross-functionally with technical and non-technical teams

Preferred Qualifications

• MBA or advanced degree in a technical or business field

• Experience with cloud platforms (AWS, Azure, GCP)

• Familiarity with MLOps, data pipelines, and AI model lifecycle management

• Product management certifications are a plus

Salary Range (USA – 2026)

$130,000 – $160,000 per year, depending on experience and location

Why Join Us?

• Build cutting-edge AI products with real-world impact

• Work alongside top AI and technology professionals

• Competitive salary, benefits, and career growth opportunities

• Be part of an innovation-driven, future-focused organization