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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 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 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

Job Overview

We are seeking a highly analytical and detail-oriented Quantitative Analyst to develop and implement mathematical models that support financial decision-making. The ideal candidate will leverage advanced statistical techniques and programming skills to analyze large datasets, identify trends, and optimize investment strategies.

Key Responsibilities

• Develop and implement quantitative models for pricing, risk management, and trading strategies
• Analyze large financial datasets to identify patterns and opportunities
• Collaborate with traders, portfolio managers, and risk teams to improve performance
• Backtest models and validate results using historical data
• Monitor market trends and refine models accordingly
• Communicate complex analytical findings to non-technical stakeholders

Required Qualifications

• Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or Computer Science (PhD preferred)
• Strong knowledge of statistical modeling and financial theory
• Proficiency in programming languages such as Python, R, or C++
• Experience with data analysis and machine learning techniques
• Solid understanding of derivatives, equities, and fixed income markets

Preferred Skills

• Experience with tools like MATLAB or SAS
• Familiarity with risk management frameworks and algorithmic trading
• Strong problem-solving and critical-thinking abilities
• Excellent communication and teamwork skills

Salary Range (USA)

• Typically ranges from $90,000 to $180,000+ per year, depending on experience, location, and firm
• Bonuses and performance incentives are often included

Benefits

• Health, dental, and vision insurance
• Retirement plans (401k)
• Paid time off and flexible working arrangements
• Opportunities for career growth and professional development

Job Overview

We are seeking an Insurance AI Specialist to develop and implement Artificial Intelligence solutions for the insurance industry. The candidate will help improve risk assessment, fraud detection, claims processing, and customer service using AI technologies.

Key Responsibilities

• Develop AI models for insurance risk analysis and prediction

• Automate claims processing using machine learning

• Build AI systems for fraud detection

• Analyze large insurance datasets to identify patterns and trends

• Work with data scientists and insurance teams to improve decision-making

• Implement AI-powered chatbots and automation tools

Required Skills

• Knowledge of Artificial Intelligence and Machine Learning

• Experience with Python, R, or data science tools

• Strong understanding of data analysis and predictive modeling

• Familiarity with insurance processes and risk management (preferred)

Qualifications

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

• Experience with machine learning frameworks (TensorFlow, Scikit-learn, etc.)

• Strong analytical and problem-solving skills

Benefits

• Competitive salary package

• Opportunity to work on AI-driven insurance technologies

• Professional development opportunities

• Innovative and collaborative work environment

About the Role

We are seeking an AI/ML Governance & Security Specialist with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, compliance, and governance across AI/ML projects. The ideal candidate will have hands-on experience in security architecture, cloud platforms (especially Microsoft Azure), and governance frameworks, with proven knowledge of AI/ML lifecycle risks.

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Key Responsibilities

• AI/ML Security & Governance

  • Design, implement, and manage governance frameworks for AI/ML systems to ensure compliance with regulatory, ethical, and organizational standards.

  • Assess AI/ML models and pipelines for risks such as bias, fairness, privacy, and explainability.

  • Define and enforce AI/ML security policies, controls, and monitoring mechanisms.

• Security Architecture (Azure Focused)

  • Design and maintain secure cloud-based ML/AI solutions on Microsoft Azure.

  • Implement Identity & Access Management (IAM), Key Vault, encryption, and security monitoring for ML workloads.

  • Support compliance with industry standards (ISO, GDPR, HIPAA, SOC2, etc.).

• Governance & Risk Management

  • Establish model governance, monitoring, and audit mechanisms across the ML lifecycle.

  • Conduct risk assessments and threat modeling for AI/ML applications.

  • Collaborate with compliance, risk, and IT security teams to ensure responsible AI adoption.

• Operational Excellence

  • Support incident response and vulnerability management for AI/ML environments.

  • Provide security awareness and governance best practices for AI/ML teams.

  • Document governance frameworks, security policies, and compliance reports.

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Required Skills & Qualifications

• Experience:

  • 2.5+ years of professional experience in AI/ML governance, security, or cloud security architecture.

  • Hands-on experience with AI/ML model lifecycle security (data handling, training, deployment, monitoring).

• Technical Skills:

  • Strong knowledge of Microsoft Azure AI/ML services (Azure ML, Cognitive Services, Synapse).

  • Expertise in Azure Security architecture (Defender, Sentinel, Key Vault, IAM).

  • Understanding of data security, encryption, and compliance frameworks.

  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps concepts.

  • Knowledge of Responsible AI principles (bias detection, model explainability, privacy-preserving ML).

• Certifications (Required/Preferred):

  • Microsoft Certified: Azure Security Architect Expert (Required).

  • AI/ML Certification (e.g., Microsoft Certified: Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent).

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and stakeholder management skills.

  • Ability to work cross-functionally with security, compliance, and data science teams.

 

We are seeking a motivated Data Science Analyst to join our team. The ideal candidate will transform data into actionable insights, support decision-making, and contribute to data-driven strategies across the organization. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to help stakeholders make informed business decisions.

Key Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources.

• Perform statistical analyses to identify trends, patterns, and correlations.

• Develop dashboards, visualizations, and reports for business teams.

• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

• Support the development of predictive models and machine learning projects.

• Communicate findings effectively to non-technical stakeholders.

• Monitor and improve the quality and integrity of data sources.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

• Strong knowledge of Python, R, or SQL.

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Solid understanding of statistics, probability, and data analysis techniques.

• Excellent problem-solving and analytical skills.

• Strong communication skills to present insights clearly.

Preferred Skills:

• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Knowledge of big data tools (Hadoop, Spark).

• Prior experience in business analytics or a similar role.

Benefits:

• Competitive salary and performance bonuses.

• Flexible work environment and remote options.

• Opportunities for professional growth and training.

• Collaborative and innovative team culture.

Job Overview

We are looking for a highly skilled AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong experience in building intelligent systems, data modeling, and deploying scalable AI applications in production environments.

Key Responsibilities

• Design and develop AI/ML models for real-world business problems

• Build, train, and optimize machine learning algorithms

• Develop deep learning models using TensorFlow / PyTorch

• Deploy AI models into production environments (cloud/on-premise)

• Work with large datasets for preprocessing, cleaning, and feature engineering

• Collaborate with Data Scientists, Data Engineers, and Product Teams

• Implement NLP, Computer Vision, or Predictive Analytics solutions

• Monitor model performance and improve accuracy

• Stay updated with latest AI trends and technologies

Required Skills & Qualifications

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

• Strong programming skills in Python

• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Knowledge of Deep Learning, NLP, or Computer Vision

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

• Understanding of APIs and model deployment

• Strong problem-solving and analytical skills

Preferred Skills (Bonus)

• Experience with Generative AI / LLMs

• MLOps and model deployment experience

• Knowledge of Docker & Kubernetes

• Experience with big data tools (Spark, Hadoop)

What We Offer

• Competitive salary

• Career growth opportunities

• Exposure to cutting-edge AI projects

• Flexible working environment

Job Overview

We are looking for a skilled DevOps & AI Engineer who can bridge the gap between development, operations, and artificial intelligence systems. The ideal candidate will design, deploy, automate, and manage AI-powered applications using modern DevOps practices.

You will work closely with development, data science, and IT teams to ensure smooth CI/CD pipelines, scalable infrastructure, and optimized AI model deployment.

Key Responsibilities

• Design and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab

• Deploy and manage AI/ML models in production environments

• Automate infrastructure using Terraform or Ansible

• Work with containerization tools like Docker and orchestration platforms such as Kubernetes

• Monitor systems using tools like Prometheus and Grafana

• Optimize cloud infrastructure on Amazon Web Services, Microsoft Azure, or Google Cloud Platform

• Ensure system security, scalability, and high availability

• Collaborate with AI teams for model versioning, testing, and deployment

Required Skills

• Strong knowledge of DevOps methodologies and CI/CD practices

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

• Hands-on experience in AI/ML model deployment

• Knowledge of Python, Shell scripting, or similar languages

• Experience with version control systems like Git

• Understanding of MLOps concepts

Preferred Qualifications

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

• Experience with AI frameworks like TensorFlow or PyTorch

• Knowledge of microservices architecture

• Strong problem-solving and communication skills

Why Join Us?

• Work on cutting-edge AI and cloud technologies

• Career growth opportunities

• Collaborative and innovative work environment

• Competitive salary package

Job Summary

We are looking for an experienced AI & Data Science Manager to lead our artificial intelligence and advanced analytics initiatives. The ideal candidate will manage a team of data scientists and machine learning engineers, oversee AI model development, and drive data-driven decision-making across the organization. This role requires strong technical expertise in AI, along with leadership and strategic planning capabilities.

Key Responsibilities

1. AI Strategy & Leadership

• Define and execute AI and machine learning strategy aligned with business goals

• Identify high-impact AI opportunities across departments

• Collaborate with senior leadership to drive innovation through data

2. Team Management

• Lead, mentor, and manage a team of data scientists, ML engineers, and analysts

• Conduct performance reviews and skill development planning

• Promote a culture of collaboration and continuous learning

3. Model Development & Deployment

• Oversee end-to-end machine learning lifecycle

• Guide development of predictive models, deep learning systems, and AI solutions

• Ensure proper model validation, testing, and deployment

• Monitor model performance and implement optimization strategies

4. Data Governance & Compliance

• Ensure data quality, security, and compliance standards

• Implement best practices for data management and model documentation

5. Stakeholder Communication

• Translate complex AI concepts into business-friendly insights

• Present findings and recommendations to senior management

• Work closely with product, engineering, and business teams

Required Skills & Qualifications

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

• 6+ years of experience in Data Science / AI roles

• 2+ years of leadership or team management experience

• Strong knowledge of machine learning, deep learning, NLP, and AI algorithms

• Proficiency in Python, R, SQL

• Experience with frameworks like TensorFlow, PyTorch, Scikit-learn

• Experience in cloud platforms (AWS, Azure, or GCP)

• Strong problem-solving and strategic thinking skills

• Excellent communication and leadership abilities

Preferred Qualifications

• Experience managing large-scale AI deployments

• Knowledge of MLOps and model lifecycle automation

• Experience in big data tools such as Spark or Hadoop

• AI-related certifications

Key Performance Indicators (KPIs)

• Successful deployment of AI projects

• Improvement in business metrics through AI solutions

• Team productivity and innovation

• Model accuracy and performance benchmarks

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

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 Overview:

We are looking for a skilled Data Engineer with hands-on experience in AI projects. The ideal candidate will design, build, and optimize data pipelines and architectures to support AI and machine learning initiatives. You will work closely with data scientists and AI specialists to ensure seamless data integration, processing, and accessibility.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for AI and ML projects.

• Collect, clean, and preprocess large datasets for training and analysis.

• Collaborate with AI teams to support model development and deployment.

• Optimize data storage, retrieval, and workflow performance.

• Implement best practices for data security, integrity, and quality.

• Document data processes and provide technical guidance to team members.

Requirements from Candidates:

• Proven experience in 4–5 AI-related projects.

• Certifications:

  • AI-101 (Foundations of AI)

  • AI-900 (Microsoft Azure AI Fundamentals)

  • DP-100 (Designing and Implementing a Data Science Solution on Azure)

• Strong programming skills in Python, SQL, or R.

• Familiarity with cloud platforms (Azure, AWS, GCP) and data engineering tools (ETL frameworks, Hadoop, Spark).

• Good understanding of AI, machine learning, and neural networks.

• Strong problem-solving, analytical, and communication skills.

Preferred Skills:

• Experience in AI model deployment and operationalization.

• Knowledge of data warehousing and database management systems.

• Ability to work independently and as part of a cross-functional team.

Benefits:

• Competitive compensation per project ($250–$350).

• Opportunities to work on cutting-edge AI projects.

• Flexible work environment and collaborative team cu