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Principal AI/ML Engineer Job Opening In Bengaluru – Now Hiring Tata Consultancy Services


Job description

Senior Machine Learning Engineer


Experience Range: 10 - 16 years

Location: Bengaluru


Key Responsibilities

  • Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.
  • Design, develop, and deploy robust, scalable machine learning models for production applications.
  • Research and integrate state-of-the-art GenAI models (e.G. GPT, T5, BERT, diffusion models, GANs) into business use cases.
  • Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.
  • Fine-tune and customise foundation models for specific domains and tasks.
  • Implement best practices for GenAI safety, alignment, and ethical deployment.
  • Stay current with GenAI research, open-source models, and industry trends.
  • Lead ML components from ideation to deployment, collaborating across distributed teams.
  • Design frameworks for agent development and cross-agent communication.
  • Collaborate with software engineers, data scientists, and product managers to define success metrics.
  • Review code, provide feedback, and mentor junior team members.
  • Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.


Basic Qualifications

  • Minimum 10 years of experience in machine learning engineering or a related role.
  • Proficiency in Python and deep learning frameworks (e.G., PyTorch, TensorFlow, Hugging Face Transformers).
  • Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.
  • Strong understanding of MLOps, model monitoring, retraining, and guard railing.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage project-based goals across time zones.


Preferred Qualifications

  • Experience with agentic architectures and multi-agent systems.
  • Familiarity with GenAI safety frameworks and ethical deployment strategies.
  • Exposure to enterprise-scale ML environments and agile delivery models.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Principal AI Potential: Insight & Career Growth Guide


Real-time Principal 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 Principal AI in Bengaluru, India, highlighting market share and opportunities for professionals in Principal AI roles.

140793 Jobs in India
140793
9483 Jobs in Bengaluru
9483
Download Principal Ai Jobs Trends in Bengaluru and India

Are You Looking for Principal AI/ML Engineer Job?

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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 Tata Consultancy Services 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 Principal AI/ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Principal AI/ML Engineer?

Key qualifications for Principal AI/ML Engineer 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.

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Interview Tips for Principal AI/ML Engineer Job Success

Tata Consultancy Services interview tips for Principal AI/ML Engineer

Here are some tips to help you prepare for and ace your Principal AI/ML Engineer job interview:

Before the Interview:

Research: Learn about the Tata Consultancy Services'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.

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

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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 Principal AI/ML Engineer interview at Tata Consultancy Services, 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 Tata Consultancy Services'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!

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