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Responsible AI Job Opening In Rajkot – Now Hiring EXL


Job description

About the Role:
We are seeking a highly skilled and principled Responsible AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise.

This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.).
The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles.
Key Responsibilities:
Model Evaluation & Auditing
Evaluate AI/ML, LLM, and GenAI models for bias, fairness, explainability, and robustness.
Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines.
Perform pre-deployment, post-deployment, and continuous model audits.
Responsible AI Frameworks
Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, and industry standards.
Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints.
Multi-Cloud Deployment Compliance
Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards.
Evaluate model behavior variability and risk exposure across different cloud providers.
Tooling & Automation
Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries).
Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators).
Documentation & Reporting
Produce model cards, system cards, and impact assessments (e.g., DSA, DPIA).
Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders.
Required Qualifications:
5+ years of experience in AI/ML evaluation, testing, or assurance roles.
Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models).
Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques.
Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.).
Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures.
Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc.
Strong communication and reporting skills, with the ability to translate technical findings into business risk language.
Preferred Qualifications:
Master’s or PhD in Computer Science, Data Science, Ethics, or related field.
Prior work with model evaluation benchmarks and large-scale LLM testing frameworks.
Knowledge of secure and privacy-preserving ML techniques (e.g., federated learning, homomorphic encryption).
Experience contributing to open-source Responsible AI tools or policy frameworks.
Why Join Us:
Work at the cutting edge of AI ethics, safety, and trust.
Collaborate with interdisciplinary teams across engineering, legal, and policy.
Influence how AI is responsibly used across industries and sectors.
Shape a safer and more accountable AI future.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Responsible AI Potential: Insight & Career Growth Guide


Real-time Responsible AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Responsible AI in Rajkot, India, highlighting market share and opportunities for professionals in Responsible AI roles.

103877 Jobs in India
103877
798 Jobs in Rajkot
798
Download Responsible Ai Jobs Trends in Rajkot and India

Are You Looking for Responsible AI Job?

Great news! is currently hiring and seeking a Responsible AI to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EXL adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Responsible AI Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Rajkot. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Responsible AI?

Key qualifications for Responsible AI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Responsible AI?

To improve your chances of getting hired for Responsible AI, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Responsible AI Job Success

EXL interview tips for Responsible AI

Here are some tips to help you prepare for and ace your Responsible AI job interview:

Before the Interview:

Research: Learn about the EXL's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Responsible AI interview at EXL, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EXL's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Responsible AI Positions

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