Senior AI scientist at Jobgether in India, IN

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Scientist based in India.

This role offers the opportunity to shape the future of conversational AI by designing and advancing large-scale foundation models powered by cutting-edge machine learning techniques. You will work on next-generation AI systems, including multimodal models deployed across cloud and edge environments. The position combines deep research, engineering excellence, and technical leadership to solve complex challenges in model architecture, training, and optimization. You will influence the development of scalable AI solutions by exploring new approaches in transformers, alignment, and distributed training. Working alongside talented ML engineers and researchers, you will contribute to impactful innovations in AI-driven experiences. This is a high-impact opportunity for a scientist passionate about pushing the boundaries of modern AI technology.

Accountabilities:

The Senior AI Scientist will be responsible for advancing foundation model capabilities through research, experimentation, and technical ownership of large-scale AI development initiatives.

- Design, train, and optimize large-scale transformer and hybrid foundation models.
- Develop and improve transformer architectures, including attention mechanisms, RoPE, ALiBi, Grouped Query Attention (GQA), and Mixture-of-Experts (MoE).
- Build models from first principles while driving architectural innovation beyond existing frameworks.
- Diagnose and resolve training instabilities and optimization challenges at scale.
- Make strategic decisions around data, compute resources, and model architecture tradeoffs.
- Apply and validate scaling laws, including compute-versus-data optimization approaches.
- Design and experiment with advanced objectives and alignment techniques such as next-token prediction, contrastive learning, RLHF, DPO, and GRPO.
- Lead large-scale distributed model training using technologies such as FSDP, ZeRO-3, tensor parallelism, and pipeline parallelism.
- Apply advanced training techniques including mixed precision (bf16, fp8) and gradient checkpointing.
- Collaborate closely with ML systems teams while maintaining ownership of model architecture and research direction.

Requirements:

    The ideal candidate brings strong expertise in deep learning research, foundation models, and large-scale machine learning systems, combined with the ability to solve complex technical problems independently.
    - Advanced experience in deep learning, representation learning, and modern AI architectures.
    - Strong understanding of transformer-based models and large language model training methodologies.
    - Proven experience designing, training, or improving large-scale neural networks.
    - Hands-on expertise with optimization techniques, including optimizers such as AdamW, Lion, and Adafactor, as well as learning-rate and warmup scheduling strategies.
    - Deep knowledge of training dynamics, optimizer instability, gradient behavior, and scaling challenges.
    - Experience with distributed training frameworks and techniques for large AI models.
    - Strong programming skills, particularly in machine learning frameworks and research environments.
    - Ability to independently drive research initiatives and translate theoretical concepts into practical solutions.
    - Excellent analytical, problem-solving, and communication skills.
    - Passion for advancing AI technology and exploring innovative approaches to model development.

Benefits:

        - Opportunity to work on advanced AI technologies and large-scale foundation models.
        - Fully remote work opportunity from India.
        - Chance to contribute to impactful innovations in conversational and multimodal AI.
        - Collaboration with experienced global AI researchers and engineering teams.
        - A challenging environment focused on research, experimentation, and technical growth.
        - Competitive compensation package and employee benefits.
        - Opportunities for professional development and career advancement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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