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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

The Company At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committed to providing tailored strategies that align with our clients' values and missions, focusing on service, integrity, and excellence. Our team is passionate about making a meaningful impact by equipping our partners with the tools and technologies they need to thrive in a rapidly evolving digital landscape. Join us in our mission The Role We are seeking an innovative Data Visualization Specialist who brings data to life through dynamic, emotionally resonant animations. This role will bridge the gap between data, storytelling, and animation, turning raw numbers and data into compelling, impactful narratives that engage and inform audiences on a deeper level. The ideal candidate combines expertise in animation with strong coding skills and a keen understanding of data visualization to create interactive and expressive data experiences. Responsibilities: Transform Data into Visual Narratives: Design animated data visualizations that not only inform but also evoke a desired emotional response in line with key project objectives. Collaborate on Storyboarding and Scripting: Partner with data analysts, content creators, and design teams to storyboard and map out engaging data-driven animations that tell a clear and impactful story. Code Interactive and Dynamic Visualizations: Leverage libraries like D3.js, Three.js, and p5.js to build animations that work responsively on the web and offer interactivity. Develop and Test Animated Data Visualizations: Use coding languages such as JavaScript, HTML/CSS, and SVG animation, ensuring high performance and visual appeal across devices. Animate Using Advanced Tools: Utilize Adobe After Effects, Adobe Animate, and/or WebGL for complex animations and 3D data visualizations. Audience-Centric Design: Use insights into audience psychology and emotional triggers to create visualizations that maximize engagement and relatability. Optimize for Web: Ensure animations are optimized for web performance, balancing visual quality with efficiency for a seamless user experience. Qualifications:

• Education: Bachelor's degree in Data Science, Animation, Graphic Design, Computer Science, or a related field (or equivalent experience).
• Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.
• Technical Skills:
  • Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.
  • Strong command of HTML/CSS and SVG Animation.
  • Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.
  • Familiarity with Python or R for data preparation is a plus.
  • Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.

• Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.
• Experience working remotely.
• Prior consulting experience preferred.

At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.

We are looking for a Healthcare Data Analyst to turn complex healthcare data into meaningful insights that improve patient outcomes and operational efficiency. This role involves working closely with clinical, administrative, and management teams to analyze patient records, hospital performance, and treatment data.

Key Responsibilities

• Collect, clean, and analyze healthcare datasets from EHR/EMR systems

• Create dashboards and reports to track hospital performance and patient outcomes

• Identify trends in admissions, readmissions, costs, and treatments

• Support clinical and business decision-making with data insights

• Ensure data accuracy, privacy, and compliance with healthcare regulations

Required Skills & Qualifications

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

• Strong knowledge of SQL and Excel

• Basic to intermediate Python (Pandas, NumPy)

• Experience with Power BI or Tableau

• Understanding of healthcare data standards (ICD-10, EHR, HIPAA)

Job Description:      At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!   Job Description: Medical Device Cybersecurity Analyst is part of the Application Development Security Framework Program within Bank of America’s Cyber Security Assurance Offensive Security group. The program provides services to assess the vulnerability of the bank’s applications to malicious hacking activity. This intermediate technical role is responsible for performing application security assessments of the bank's technologies, applications, and cyber security controls while adapting testing methods to evolving and emerging threats. Key responsibilities include performing research, understanding the bank’s security policies, working with the appropriate partners to complete assessments and simulations, identifying misconfigurations and vulnerabilities, and reporting on associated risk. These individuals partner closely with security partners, CIO clients and multiples lines of business. Key Responsibilities in order of importance:

• Perform assigned analysis of internal and external threats on information systems and predict future threat behavior
• Incorporate threat actors' tactics, techniques, and procedures into offensive security testing
• Perform assessments of the security, effectiveness, and practicality of multiple technology systems
• Leverage innovative thinking to help solve problems or introduce new ideas to processes or products applicable to offensive security.
• Prepare and present detailed technical information for various media including documents, reports, and notifications
• Provide clear and practical advice regarding managed risks
• Learn and develop advanced technical and leadership skills, Mentor Junior assessors in technical tradecraft and soft skills

  Required Skills:

• Minimum of 4 years of professional pentesting, application security or ethical hacking experience, preferably in a large, complex, enterprise environment
• Detailed technical knowledge in at least 3 of the following areas: security engineering; application architecture; authentication and security protocols; application session management; applied cryptography; common communication protocols; mobile frameworks; single sign-on technologies; exploit automation platforms; RESTful web services
• SQL injection/XSS attack without the use of tools
• Experience performing manual code reviews for security relevant issues
• Experience working with SAST tools to identify vulnerabilities
• Able to manually identify and reproduce findings, discuss remediation concepts, develop PoCs for vulnerabilities, use scripting/coding techniques, proficiently execute common penetration testing tools, triage, and support incidents, and produce high value findings
• Experience performing manual web application assessments i.e., must be able to simulate a
• Knowledge of network and Web related protocols/technologies (e.g., UNIX/LINUX, TCP/IP, Cookies)
• Experience with vulnerability assessment tools and penetration testing techniques
• Solid programming/debugging skills
• Experience of using a variety of tools, included, but not limited to, IBM AppScan, Burp and SQL Map
• Threat Analysis
• Innovative Thinking
• Technology Systems Assessment
• Technical Documentation
• Advisory

  Desired:

• CISSP, CEH, OSCP, OSWE, GPEN, PenTest+ or similar
• Strong programming/scripting skills

This job will be open and accepting applications for a minimum of seven days from the date it was posted.   Shift: 1st shift (United States of America) Hours Per Week: 40

Job Description

We are seeking a highly organized and innovative AI Project Manager to lead the planning, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The ideal candidate will collaborate with cross-functional teams, including data scientists, AI engineers, software developers, and business stakeholders, to ensure successful implementation of AI-driven solutions that align with organizational goals.

Key Responsibilities

• Manage end-to-end AI and Machine Learning projects from initiation to deployment.
• Define project scope, timelines, budgets, milestones, and resource requirements.
• Coordinate with data science, engineering, product, and business teams.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Facilitate Agile/Scrum ceremonies and ensure timely delivery of project objectives.
• Translate business requirements into technical AI project plans.
• Track AI model development, testing, deployment, and performance metrics.
• Prepare project status reports and communicate updates to stakeholders.
• Ensure compliance with data governance, privacy, and security standards.
• Drive continuous improvement in AI project management processes.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business, or a related field.
• 3+ years of project management experience, preferably in AI, Machine Learning, Data Science, or Technology projects.
• Strong understanding of AI/ML concepts, data pipelines, and analytics workflows.
• Experience with Agile, Scrum, Jira, Asana, Trello, or similar project management tools.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to manage multiple projects simultaneously in a fast-paced environment.

Preferred Qualifications

• PMP, Agile, Scrum Master, or similar project management certification.
• Experience working with Generative AI, Large Language Models (LLMs), or AI product development.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of AI ethics, governance, and responsible AI practices.

• Contribute to the completion of projects, manage own time on agreed targets, develop plans for own projects and leads small project teams.
• Monitor, generate and complete the periodic review, validation master plan for the automation engineering program.
• Demonstrate good planning, organizing, time management and team participation skills.
• Responsible for routine and preventive maintenance work, ensure all the equipment and facilities work safely, efficiently and reliably.
• Generate and develop standard operating procedures and system support.
• Analyze operational process problems and recommend appropriate corrective and preventative actions.
• Manage change control authoring and execution.
• Participate in the site and network wide teams to provide cybersecurity alignment and direction.
• Provide 24x7x365 support of our automation systems and perform automation activities for capital and non-capital projects.
• Modify moderately complex to highly complex control logic that requires a degree of scientific and/or manufacturing process expertise.
• Mentor and guide junior staff and serve as a technical trainer, whenever necessary.
• Clearly communicate progress and issues to peers.

• Applicant must have a bachelor's degree with at least 2 years of experience; OR a master's degree with 0+ years of experience; OR an associate's degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant experience.
• Strong knowledge of Computerized Systems, Compliance regulations and standards
• Experience with programming industrial control systems such as DCS, PLCs, SCADA systems, Historians, or SQL Server.
• Demonstrated experience in project management to timelines and budgets
• Experience in troubleshooting issues to root cause and recommending and implementing effective corrective actions.
• Experience with writing software test plans, user requirements, and system design
• documents
• Teamwork spirit, good communication skills and training abilities
• Excellent interpersonal effectiveness and communication skills {written and oral}

• Relevant pharmaceutical experience
• Understanding of programming, and proficiency in at least one language
• Understanding of network infrastructure, windows servers, and virtualization

• Last Date to Apply for Job: April 21, 2025
• Referral Bonus Eligibility: YES
• Eligible for Relocation Package: YES

The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

 

About the Role

Flatfile is seeking an AI-Powered Cybersecurity Analyst to help strengthen our security posture through advanced threat detection, incident response, and AI-driven security solutions. The ideal candidate will combine cybersecurity expertise with knowledge of artificial intelligence and machine learning technologies to identify risks, automate security processes, and protect critical systems and data.

This role offers an exciting opportunity to work at the intersection of cybersecurity and AI while contributing to the security of innovative cloud-based platforms.

Key Responsibilities

• Monitor, detect, and investigate cybersecurity threats across enterprise environments.
• Utilize AI and machine learning tools to improve threat detection and response capabilities.
• Conduct security assessments, vulnerability analyses, and risk evaluations.
• Develop and implement security automation workflows.
• Analyze security logs, alerts, and incident reports to identify suspicious activities.
• Collaborate with engineering and DevOps teams to enhance security controls.
• Support incident response activities and forensic investigations.
• Recommend security improvements based on threat intelligence and industry best practices.
• Monitor emerging cyber threats and evaluate their potential impact on business operations.
• Assist in maintaining compliance with security standards and regulatory requirements.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• 3+ years of experience in cybersecurity, security operations, or threat analysis.
• Strong understanding of network security, cloud security, and security monitoring tools.
• Experience with SIEM platforms such as Splunk, Microsoft Sentinel, or QRadar.
• Knowledge of AI and Machine Learning concepts applied to cybersecurity.
• Familiarity with threat intelligence frameworks and incident response processes.
• Experience with vulnerability management and security assessment tools.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.

Preferred Qualifications

• Cybersecurity certifications such as Security+, CEH, CISSP, CySA+, or GIAC.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform security.
• Knowledge of Python, PowerShell, or other scripting languages.
• Experience with endpoint detection and response (EDR) solutions.
• Understanding of Zero Trust Security Architecture.
• Exposure to AI-powered security platforms and automation tools.

Technical Skills

• Cyber Threat Detection
• Incident Response
• Security Information and Event Management (SIEM)
• Threat Intelligence
• Cloud Security
• Vulnerability Management
• Machine Learning for Security
• Python Scripting
• Security Automation
• Risk Assessment

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health, dental, and vision coverage
• Flexible remote work environment
• Professional development and certification support
• Paid time off and company holidays
• Collaborative and innovative work culture

Why Join Flatfile?

At Flatfile, we are committed to building secure, scalable, and innovative technology solutions. As an AI-Powered Cybersecurity Analyst, you will play a critical role in protecting our systems while helping shape the future of AI-driven security operations.

Apply today and become part of a team dedicated to innovation, security, and excellence.

 

About the Role

The Enterprise AI Program Director will lead the planning, governance, execution, and optimization of enterprise-wide AI initiatives. This role requires a highly experienced program leader who can manage multiple AI projects, coordinate stakeholders, and ensure alignment with organizational goals.

The ideal candidate will possess strong program management expertise, deep understanding of AI technologies, and the ability to drive transformation across large organizations.

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Responsibilities

Program Leadership

• Manage enterprise AI portfolio and roadmap.
• Define strategic objectives and success criteria.
• Lead AI implementation programs across departments.

Governance

• Establish AI governance frameworks and operational standards.
• Develop policies related to AI ethics, security, and compliance.
• Conduct regular risk assessments.

Project Oversight

• Manage multiple concurrent AI projects.
• Monitor budgets, timelines, and resources.
• Ensure delivery against agreed objectives.

Stakeholder Management

• Communicate program progress to executive leadership.
• Facilitate steering committee meetings.
• Align technical and business stakeholders.

Performance Monitoring

• Establish KPIs for AI adoption.
• Track business impact and ROI.
• Recommend improvements and optimization strategies.

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Qualifications

Education

• Bachelor's degree in Business, Engineering, Information Technology, or related field.
• Master's degree preferred.

Experience

• 10+ years in Program Management.
• 5+ years managing enterprise AI initiatives.
• Experience leading global teams.
• Strong experience with Agile and Waterfall methodologies.

Technical Expertise

• AI and Machine Learning Fundamentals
• Cloud Computing Platforms
• Data Analytics
• Enterprise Systems Integration
• Project Management Tools

Certifications

• PMP Preferred
• Agile Certification Preferred
• SAFe Certification Preferred

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Preferred Skills

• Strong financial management skills.
• Vendor and partner management.
• Enterprise transformation experience.
• Experience with Generative AI deployments.

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Benefits

• Equity participation
• Annual bonus
• Healthcare benefits
• Remote work options
• Learning and development budget

Job Overview

We are seeking a talented and analytical Data Scientist to join our growing team. The ideal candidate will be responsible for analyzing large datasets, developing predictive models, and transforming complex data into actionable business insights. You will work closely with cross-functional teams to drive data-driven decision-making and support strategic business initiatives.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and opportunities.
• Develop, test, and deploy machine learning and statistical models.
• Create predictive analytics solutions to improve business performance.
• Design and maintain dashboards, reports, and visualizations.
• Collaborate with business stakeholders to understand requirements and deliver data-driven recommendations.
• Perform data cleaning, validation, and preprocessing to ensure data quality.
• Communicate findings and insights to technical and non-technical audiences.
• Stay current with industry trends, tools, and best practices in Data Science and Artificial Intelligence.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in Data Science, Machine Learning, or Analytics.
• Strong proficiency in Python, SQL, and data analysis libraries.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of statistical analysis and predictive modeling techniques.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of Big Data technologies including Spark, Hadoop, or Databricks.
• Experience working with Generative AI and Large Language Models (LLMs).

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• Professional development and certification support.
• Flexible work environment.
• Career growth opportunities in AI and Data Science.

Career Path

Data Scientist → Senior Data Scientist → Lead Data Scientist → AI/ML Manager → Director of Data Science

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

We are looking for a highly skilled AI Solutions Architect to design and deliver scalable, enterprise-grade AI solutions. In this role, you will bridge the gap between business needs and advanced AI technologies, ensuring successful implementation of AI strategies across the organization.

Key Responsibilities

• Design and develop end-to-end AI solutions and architectures

• Translate business requirements into technical AI strategies

• Ensure structured AI architecture alignment across projects

• Build and deploy machine learning models and AI systems

• Collaborate with data scientists, engineers, and stakeholders

• Integrate AI solutions into existing enterprise systems

• Ensure scalability, security, and performance of AI applications

• Guide teams on best practices in AI, ML, and MLOps

• Stay updated with the latest trends in AI and emerging technologies

Requirements

• Strong experience in AI/ML solution architecture

• Hands-on experience with Python, TensorFlow, PyTorch, or similar frameworks

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

• Knowledge of data engineering, APIs, and system integration

• Experience with MLOps and model deployment pipelines

• Understanding of structured AI architecture alignment

• Recognized certifications in AI or cloud technologies (preferred)

• Strong problem-solving and communication skills

Preferred Qualifications

• Experience with Generative AI / LLMs

• Background in enterprise AI implementations

• Knowledge of AI governance and ethical AI practices

• Experience working in cross-functional teams

What We Offer

• Competitive salary ($160K – $220K+)

• Opportunity to work on cutting-edge AI projects

• Growth in a fast-paced, innovation-driven environment

• Leadership opportunities in AI transformation initiatives

Who Should Apply?

Professionals who are passionate about designing scalable AI systems, solving complex business problems, and leading AI innovation.

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.

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

• Analyze datasets and algorithms for bias, fairness, and representativeness.

• Design ethical frameworks for AI and data usage.

• Work with data scientists, engineers, and product teams to implement responsible AI practices.

• Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

• Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

• Educate stakeholders on data ethics principles.

Required Skills:

• Strong foundation in data science and machine learning.

• Understanding of ethical theory, philosophy, or AI ethics.

• Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

• Ability to communicate complex ideas to non-technical stakeholders.

• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).