AI Research & Data Scientist Jobs in Bangalore | PhD Careers in Generative AI, LLMs & Multimodal AI | 10–16 Years Experience

August 29, 2025 Indianjobhub

AI Research / Data Scientist (PhD) Career Opportunity in Bangalore | PAN India (10–16 Years Experience)

The exponential growth of Artificial Intelligence (AI) has transformed industries across the globe, driving innovation in healthcare, finance, retail, autonomous systems, and beyond. With the emergence of Large Language Models (LLMs), multimodal learning, and generative AI frameworks, organizations are now seeking highly skilled professionals who can not only implement but also pioneer the next generation of AI solutions.

For experienced researchers and practitioners holding a Ph.D. in Artificial Intelligence, Computer Science, or related disciplines, this opportunity for an AI Research / Data Scientist role represents a high-impact career path. With 10 to 16 years of research and industry experience, professionals in this field will be at the forefront of developing breakthrough models and guiding the adoption of AI at scale.

Role Overview: AI Research / Data Scientist

The role of an AI Research / Data Scientist (PhD) goes beyond traditional data science. It combines deep research capabilities, hands-on development of advanced AI techniques, and leadership responsibilities. The professional is expected to:

Drive research in generative AI and LLMs.
Explore and implement novel methods in multimodal architectures, inference optimization, and reasoning models.
Collaborate with product teams to translate cutting-edge AI into scalable applications.
Publish and present findings in global research forums.
Mentor upcoming researchers, ensuring knowledge transfer and growth.

This unique blend of research depth and practical implementation positions the AI Researcher as both a thought leader and an enabler of innovation.

Key Responsibilities

The position demands versatility, intellectual curiosity, and advanced problem-solving abilities. Major responsibilities include:

1. Generative AI Research

Drive advanced research initiatives in Generative AI, Large Language Models, and multimodal intelligence systems.
Explore applications of agentic AI, fine-tuning strategies, and distillation techniques to improve model efficiency.
Innovate in areas like test-time scaling, inference optimization, and reasoning models to push the boundaries of AI capabilities.

2. Model Development and Implementation

Design and implement state-of-the-art AI models tailored for real-world applications.
Integrate multimodal approaches combining text, vision, speech, and structured data.
Optimize models for scalability, performance, and interpretability.

3. Collaboration with Cross-Functional Teams

Work with product managers, engineers, and architects to embed AI into existing and emerging products.
Align research outcomes with business goals, ensuring AI solutions are not just innovative but also practical.

4. Data Analysis and Interpretation

Analyze and interpret large, complex datasets to uncover meaningful patterns.
Leverage statistical modeling, machine learning, and deep learning to drive insights that fuel research initiatives.

5. Experimentation and Validation

Design experiments to test and validate new AI techniques.
Evaluate models against benchmarks for performance, robustness, and fairness.
Iterate quickly to refine research outputs into deployable prototypes.

6. Research Publications and Knowledge Sharing

Disseminate research contributions through leading AI conferences, journals, and symposiums.
Represent the organization at global research events, building visibility as a leader in AI.
Ensure intellectual property is documented and protected.

7. Mentorship and Leadership

Guide junior researchers and data scientists, providing technical mentorship.
Foster a culture of experimentation, critical thinking, and academic rigor within the team.

Desired Skills and Expertise

To excel in this role, candidates must possess a combination of research excellence, technical proficiency, and collaborative skills. Desired competencies include:

Strong expertise in Artificial Intelligence and Machine Learning, particularly in generative AI, LLMs, and multimodal architectures.
Proven experience with fine-tuning, knowledge distillation, inference optimization, and scaling techniques.
Advanced programming proficiency in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
Experience working with large datasets, distributed computing, and cloud platforms (Azure, AWS, or GCP).
Solid grounding in data analysis, statistics, and scientific computing.
Knowledge of data security, ethics in AI, and responsible AI practices.
Strong publication record in reputed journals and conferences.
Excellent communication skills to collaborate across interdisciplinary teams.

Educational Qualifications

Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or related fields.
Additional post-doctoral research or industry R&D experience is highly valued.
Contributions to open-source AI projects or patents are considered a strong plus.

Why This Role Is Critical

Organizations adopting AI face challenges such as:

Optimize models to lower computational overhead without compromising accuracy.
Multimodal integration – enabling models to understand and process diverse data inputs.
Scalability – ensuring AI solutions can be deployed at enterprise scale.
Ethical considerations – addressing fairness, bias, and compliance in AI models.

The AI Research / Data Scientist plays a pivotal role in overcoming these challenges. By advancing the science behind AI, these professionals enable businesses to deliver next-generation solutions with real-world impact.

Career Growth Path

An AI Research / Data Scientist role opens doors to several advanced career trajectories, such as:

Principal AI Scientist – leading enterprise-wide AI research initiatives.
Head of AI Research – overseeing global research teams and partnerships.
Chief Data Scientist – shaping organizational strategy through AI-driven insights.
AI Fellow / Distinguished Scientist – recognized as a thought leader in global AI research communities.

As the AI field evolves, demand for PhD-level talent in Generative AI and LLM research will continue to surge across industries.

Location and Work Model

Primary Location: Bangalore
Work Flexibility: PAN India opportunities with remote/hybrid options.
Function: Technology | Role: Business Analyst (Research Focus)

This role offers exposure to global teams, state-of-the-art AI infrastructure, and cutting-edge research environments.

Application Process

Job ID: 372369
Apply By: 30th September 2025
Experience Required: 10–16 years in AI research, data science, and product integration.

Candidates should highlight research publications, patents, hands-on AI projects, and leadership contributions in their application.

Final Thoughts

The AI Research / Data Scientist (PhD) position represents a rare opportunity to blend academic research with industrial innovation. With responsibilities spanning from generative AI advancements to mentoring the next generation of researchers, this role is designed for professionals who want to influence the future of AI.

If you are passionate about LLMs, multimodal AI, agentic AI, and inference optimization, and have the expertise to publish groundbreaking work while implementing enterprise solutions, this position can be the next big step in your career.

Join this role in Bangalore or PAN India to be part of the driving force shaping the AI revolution of tomorrow.

Apply Here

INDIAN JOB HUB