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: AI Governance Specialist || Hybrid-Wood Lawn MD at Lawn, Texas, USA
Email: [email protected]
From:

charu sharma,

tek inspirations

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AI Governance Specialist 

Hybrid-Wood Lawn MD- 2 days a week

Need LinkedIn & References

Need minimum 12 + Years of experience.

Key Required Skills:

Candidate should have experience with AI ethics, frameworks and technologies.  

Position Description:

Collaborate with the customer to develop AI framework, governance and policy.

Develop associated standards and guide the customer on AI governance.

Present and communicate the intent of AI government policies and Executive Orders.

Interpret any new government legislations on AI.

Support refinement and maintenance of AI Governance Framework process and procedure documentation.

Translate risk and governance concepts and issues into language understandable by cross-functional stakeholders.

Self-starter who can responsibly and independently advance work

Collaborate with business stakeholders to identify and prioritize AI use cases, considering factors such as feasibility, potential benefits, and ethical considerations.

Work with leadership at all levels and present relevant information.

All other duties as assigned or directed.

STANDOUT FACTORS
 (Required Skills)

These skills will help you succeed in this position:

Strong knowledge of modern JavaScript and experience with ES6+ features, such as classes, arrow Demonstrating intimate understanding of privacy, data, and model governance activities including AI risks, oversight mechanisms, documentation, development processes;

Demonstrating an understanding of challenges in building production-worthy AI systems;

Proactively seeking guidance, clarification and feedback;

Collaborating with teams comprised of technical, data science, and business specialists;

Collaborating with senior leaders and coordinating roll-out and change management for new processes

Displaying an ability to manage senior stakeholders and client needs, including: building relationships with clients, approaching client in an organized manner, and delivering clear requests for information, facilitating alignment across multiple stakeholders;

Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership

Displaying ability to research and analyze pertinent to the customer and technical matters;

Demonstrating ability to contribute to a positive working environment by building relationships with team members;

Education:

Bachelor degree with 12+ years of experience

Must be able to obtain and maintain a Public Trust. Contract requirement. 

Skills Requirements:

FOUNDATION FOR SUCCESS 

(Basic Qualifications)

Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science

Minimum 8 Year (s) of Experience

Proven experience with the full system development lifecycle.

Proven experience in organizational process development, governance, compliance, or related roles.

Familiarity with AI technologies, machine learning, and their societal implications.

Knowledge of responsible AI principles, fairness metrics, and bias detection techniques.

Understanding of data privacy regulations and ethical AI frameworks.

Stay abreast of global AI governance trends, regulations, and best practices.

Broad technical knowledge and depth on AI / ML / Data Science to liaise with technical teams to execute on responsibilities listed above effectively

Excellent analytical skills to identify potential risks and propose effective solutions.

Clear communication skills to convey complex ethical and technical concepts to various partners.

Ability to collaborate with cross-functional teams..

Must be able to obtain and maintain a Public Trust. Contract requirement. 

Warm Regards..

Charu Sharma

IT Technical Recruiter

TEK Inspirations LLC

| 13573 Tabasco Cat Trail, Frisco, TX 75035

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[email protected]

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Keywords: artificial intelligence machine learning information technology Maryland Texas
: AI Governance Specialist || Hybrid-Wood Lawn MD
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Thu Apr 04 21:00:00 UTC 2024

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