Senior Developer

3 days ago

Hyderabad, Telangana, India Allegis Global Solutions Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Model Validation ( Senior Developers)Exp : 2-7years Work module

  • 5 days ( must)Location : HyderabadSkill set : Python AI ( Deep learning / Neural network) RNNNP : Immediate
  • 60days Key Responsibilities :
  • Develop and implement governance frameworks for LLMs and AI models, ensuring they align with ethical standards and business objectives.
  • Collaborate with data scientists, legal, and compliance teams to establish best practices for AI model development, deployment, and monitoring.
  • Conduct risk assessments of Python based AI models to identify potential biases, ethical concerns, and compliance issues with data privacy regulations and other AI regulations.
  • Design and maintain Model Risk Management (MRM) policies and procedures, including model validation, performance tracking, and documentation standards.
  • Experience in Sensitivity Analysis, Scenario Testing, Bias deduction etc.
  • Provide guidance on the interpretation of data privacy laws and regulations, such as GDPR, CCPA, and other relevant frameworks, as they pertain to AI models.
  • Facilitate training and awareness programs for staff on AI & Data governance, ethical AI use, and data privacy principles.
  • Participate in industry forums and working groups to stay abreast of emerging trends, risks, and opportunities in AI governance and MRM.
  • Work closely with the technology teams to implement controls and monitoring systems for AI models.
  • Prepare reports and presentations for senior management and stakeholders on the status of AI governance and model risk management activities.

Qualifications :

  • Bachelor's or Master's degree in Computer Science, Data Science, Finance Management, or a related field.
  • Minimum of 5 years of experience in AI & Data governance, model risk management, or a related area.
  • Strong understanding of AI technologies, machine learning models, and their applications in a business context.
  • Strong Python programming skills specific to AI/ML
  • Experience deploying AI applications on multi-cloud and hybrid cloud environments.
  • Knowledge of data privacy laws and regulations, and experience in implementing data governance policies.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Ability to communicate complex concepts to a non-technical audience.
  • Proven track record of working in a cross-functional team environment.
  • Professional certifications in AI ethics, data privacy, or risk management are a plus.

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