Senior Specialist - Data Sciences

Location- Bellandur bangalore

Experience- 8- 12

Shift- 1.30pm- 10.30pm

AI Risk Engineer on Responsible AI RAI team partners with business and IT development teams to help ensure that AI and machine learning systemsincluding thirdparty tools generative AI and AI agentsare fair transparent accountable secure and aligned with ethical principles Working at the intersection of AIML engineering ethics and policy you will build and maintain the automation scripts and tooling that power AI impact assessment process and help operationalize Responsible AI controls within our AI governance platform Credo AI You will collaborate closely with our Cybersecurity Legal and Data Privacy teams to ensure that AI solutions vendors and internal use cases adhere to guidelines policies and emerging regulations

Build maintain and enhance the automation flows scripts and tooling that support AI impact assessment and Responsible AI review processes

Configure and administer AI governance platform Credo AIadding risk scenarios controls and review workflows that enable teams to document mitigations provide evidence and track AI risks across the lifecycle

Design and operate review and approval checkpoints including preproduction questionnaires and periodic rereviews of AI use cases streamlining through automation where possible

Establish and run model review processes for both pretrainedfoundation models and custombuilt machine learning models

Assist in AI Discovery and maintain an inventory of AI models agents and use cases across the enterprise ensuring proper documentation and lifecycle governance

Conduct ethical risk assessments and impact analyses for AI use cases including alignment with regulations such as the EU AI Act and industry frameworks such as the IOGP Responsible Use of AI principles and NIST AI Risk Management Framework

Evaluate AI vendors models and external AI access requests for fairness security and policy compliance partnering with Cybersecurity Legal and Data Privacy

Influence the development and adoption of tools and methodologies to detect and mitigate bias drift and unintended consequences in machine learning and generative AI systems

Lead training FAQs and awareness campaignsleveraging Teams and Copilotto promote ethical AI practices and communicate process changes across business units

Partner with crossfunctional teams to integrate Responsible AI principles into product development and deployment workflows

Required Qualifications

Bachelors degree in Computer Science Data Science Engineering or a related field

Minimum 57 years of professional experience in data science analytics or AIML engineering roles

Proficiency in Python and experience building automation scripts or data pipelines that integrate with enterprise platforms and APIs

Demonstrated ability to reason through ethical implications of AI systems and articulate tradeoffs

Experience working with interdisciplinary teams eg cybersecurity legal privacy policy to embed Responsible AI principles

Strong communication and presentation skills to convey complex technical concepts to diverse audiences

Familiarity with data governance frameworks and enterprise compliance standards eg GDPR CCPA NIST OECD

Masters degree in Data Science Computer Science or a related field

Certifications in Responsible AI DataAI Ethics Cybersecurity or AI Governance

Experience developing and evaluating machine learning models using Python and libraries such as scikitlearn TensorFlow or PyTorch

Experience with generative AI or agentic AI frameworks tools or applications and with governing AI agents eg agent registries Microsoft Agents 365

Experience with AI governance or modelrisk platforms eg Credo AI and workflow automation eg Power Automate Azure DevOps

Knowledge of fairness interpretability and robustness techniques in AI

Experience with enterprise AI platforms eg Azure ML Azure AI Foundry Databricks DataRobot

Familiarity with emerging AI regulations and industry frameworks eg EU AI Act NIST AI Risk Management Framework IOGP Responsible Use of AI

Proven ability to work autonomously in ambiguous environments and make connections between disparate data sources

Skills we are looking for

Musthave Python familiarity AI system implementation familiarity with policies related to AI governance

Goodtohave certification in RAI dataAI ethics cybersecurity or AI governance Oil Gas domain