Lead Principal Scientist -AI Research

Technoworkz Technologies; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Technoworkz Technologies in Bengaluru, India seeks a Principal Scientist in Generative AI & NLP to lead research and development of scalable, production-ready AI solutions. The candidate will guide LLMs, multimodal AI, and agentic systems, publishing in top venues and shaping the research direction.

The role demands a PhD/Masters with 10–15 years in AI/ML, strong NLP/GenAI expertise, and hands-on experience building large-scale training pipelines and production deployments.

Qualifications

• Ph.D. or Master’s in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field.
• 10–15 years of industry and/or academic experience in AI/ML, with 7+ years in NLP and Generative AI.
• Proven leadership in publishing top-tier research such as NeruralIPS, ICLR, ICML, AAAI, and CVPR in LLMs, multimodal models, or related areas.
• Proven experience in large-scale model training, optimization, and deployment.
• Expertise in Python, with proficiency in frameworks such as Hugging Face Transformers, TensorFlow, PyTorch, Keras, JAX.
• Deep understanding of LLMs, multimodal AI, embedding models, vector databases, and agentic AI.
• Experience with MLOps/LLMOps tools (e.g., MLflow, Weights & Biases, DVC, SageMaker, Vertex AI).
• Strong system design skills, including distributed systems, data pipelines, and API development.

Responsibilities

• Define and drive the research roadmap in LLMs, multimodal AI, and Generative AI.
• Lead the authoring and publication of top-tier research papers (e.g., NeurIPS, ICML, ACL, CVPR).
• Stay at the forefront of AI advancements and translate research into practical, scalable solutions.
• Design and optimize novel algorithms for generative modeling, NLP, and agentic AI under system and compute constraints.
• Lead the development of high-performance training pipelines for large-scale models, including distributed training and inference optimization.
• Architect and implement end-to-end GenAI systems, including prompt orchestration, retrieval-augmented generation (RAG), and agentic workflows.
• Collaborate with engineering, product, and data science teams to integrate AI solutions into production environments.
• Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS, GCP, Azure).
• Mentor junior scientists / engineers in GenAI best practices and research methodologies.
• Work cross-functionally to align AI initiatives with business goals and customer needs.

Skills

Python

HuggingFace Transformers

TensorFlow

PyTorch

Keras

JAX

LLMOps

Distributed systems

NLP

GenAI

Model training

Cloud platforms

Education

Ph.D. or Master’s in CS/ ML/ NLP/ Computational Linguistics

Tools

MLflow

Weights & Biases

DVC

SageMaker

Vertex AI

Job description

We are seeking a Principal Scientist Generative AI & NLP to lead our research

and development efforts in cutting-edge AI technologies, including Large Language

Models (LLMs), multimodal AI, and agentic systems. This role is ideal for a

seasoned AI researcher and technologist with a strong publication record, deep

algorithmic expertise, and hands-on experience in building and optimizing large-

scale AI systems under real-world constraints. You will play a pivotal role in setting

the research direction, leading high-impact publications, and driving the development

of scalable, production-ready AI solutions that power next-generation products.

Public Key Responsibilities

• Research Leadership

• Define and drive the research roadmap in LLMs, multimodal AI, and

Generative AI.

• Lead the authoring and publication of top-tier research papers (e.g.,

NeurIPS, ICML, ACL, CVPR).

• Stay at the forefront of AI advancements and translate research into

practical, scalable solutions.

• Algorithm & System Design

• Design and optimize novel algorithms for generative modeling, NLP,

and agentic AI under system and compute constraints.

• Lead the development of high-performance training pipelines for

large-scale models, including distributed training and inference

optimization.

• Product & Platform Development

• Architect and implement end-to-end GenAI systems, including

prompt orchestration, retrieval-augmented generation (RAG), and

agentic workflows.

• Collaborate with engineering, product, and data science teams to

integrate AI solutions into production environments.

• Build and maintain highly scalable backend microservices and real-

time inference systems on cloud platforms (AWS, GCP, Azure).

• Mentorship & Collaboration

• Mentor junior scientists / engineers in GenAI best practices and

research methodologies.

• Work cross-functionally to align AI initiatives with business goals and

customer needs.

Required Qualifications

• • Ph.D. or Master’s in Computer Science, Machine Learning, Mathematics,

Computational Linguistics, or a related field.

• • 10–15 years of industry and/or academic experience in AI/ML, with 7+ years

in NLP and Generative AI.

• • Demonstrated leadership in publishing top-tier research such as NeruralIPS,

ICLR, ICML, AAAI, and CVPR in LLMs, multimodal models, or related areas.

• • Proven experience in large-scale model training, optimization, and

deployment.

• • Expertise in Python, with proficiency in frameworks such as Hugging Face

Transformers, TensorFlow, PyTorch, Keras, JAX.

• • Deep understanding of LLMs, multimodal AI, embedding models, vector

databases, and agentic AI.

• • Experience with MLOps/LLMOps tools (e.g., MLflow, Weights & Biases,

DVC, SageMaker, Vertex AI).

• • Strong system design skills, including distributed systems, data pipelines,

and API development.