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Data Scientist (Gen AI) Job Opening In India, India – Now Hiring Proximity Works

Data Scientist (Gen AI)

    India Jobs Expertini Expertini › India › Jobs › Mathematical Science Occupations › Data Scientist (Gen Ai)

Job description

We’re seeking a highly skilled, hands-on Data Scientist with 4–10 years of experience in applied AI/ML to join our fast-paced team.

This role requires deep expertise in transformer architectures and strong fundamentals in model training, fine-tuning, and optimization.

You’ll work across modalities (text, audio, video), with the flexibility to specialize in one domain but the adaptability to experiment across others.

The ideal candidate thrives in a startup-style, high-velocity R&D environment, is execution-focused, and demonstrates ownership from architecture to deployment.

You’ll run rapid experiments, iterate on state-of-the-art models, and push the boundaries of generative AI in lip-sync, character consistency, audio realism, and video quality — with a research-first, problem-solving mindset.

Responsibilities

  • Model Development & Fine-tuning: Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).
  • Domain-Specific Applications:
    • Audio: Lip-sync, emotional delivery (shouting, whispering, crying), regional language support.
    • Video: Scene/character consistency, quality benchmarks comparable to Veo3/Sora.
    • Text: Extend LLMs to handle regional languages and domain-specific adaptation.
  • Evaluation & Optimization: Design automated evaluation frameworks for objective quality scoring (images, video frames, audio clips).

    Balance trade-offs in speed, quality, and efficiency.
  • Cross-Modality Integration: Experiment with audio-video synchronization, background score integration, and text-to-video alignment.
  • Research & Experimentation: Stay ahead of rapidly evolving models and tools, testing architectural variations and scaling solutions for production use.
  • Ownership & Execution: Drive initiatives independently with strong problem-solving, accountability, and first-principles thinking.

Requirements

    • Experience: 4–10 years in applied Data Science/ML with a strong focus on generative AI.
    • Core Fundamentals: Solid grasp of transformer architectures, LLMs, training dynamics, and optimization techniques.
    • Modality Depth: Expertise in at least one modality (text, audio, or video), with demonstrable end-to-end project experience.
    • Hands-On Skills: Strong coding and debugging ability in Python, with deep learning frameworks (PyTorch, TensorFlow).
    • Deployment Knowledge: Experience with ML pipelines (FastAPI or similar) for inference and deployment.
    • Evaluation Metrics: Proven ability to design/implement automated evaluation methods for generative outputs.
    • Adaptability: Ability to experiment quickly with new tools, libraries, and models in a dynamic environment.

Benefits

What you get

    • Best in class salary: We hire only the best, and we pay accordingly.
    • Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
    • Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts.

We solve complex problems and build cutting-edge tech, at scale.

Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge.

You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Here’s a quick guide to getting to know us better:

Here’s a quick glimpse of Proximity and what it’s like to be a Proxonaut:

  • Visit to listen to what our CEO, , has to say about Proximity.
  • Meet some of our Proxonauts here:
  • Here are some quick links to the , , and (our design wing).

Follow our team's #BTS (behind-the-scenes) updates on our Instagram channels —
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Required Skill Profession

Mathematical Science Occupations


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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 Proximity Works 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 Data Scientist (Gen AI) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. 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.

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Interview Tips for Data Scientist (Gen AI) Job Success

Proximity Works interview tips for Data Scientist (Gen AI)

Here are some tips to help you prepare for and ace your Data Scientist (Gen AI) job interview:

Before the Interview:

Research: Learn about the Proximity Works'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 Data Scientist (Gen AI) interview at Proximity Works, 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 Proximity Works'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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