This role is for one of the Weekday's clients

Salary range: Rs 2800000 - Rs 6000000 (ie INR 28-60 LPA)

Min Experience: 4 years

Location: Bengaluru

JobType: full-time

We are looking for a highly skilled Senior AI Research Scientist with deep expertise in NLP, Generative AI, and ML system design. The ideal candidate will have a strong research background, experience in developing and fine-tuning machine learning models, and the ability to translate cutting-edge AI advancements into production-ready solutions.

Key Responsibilities:

Research & Model Development:

• Fine-tune and develop machine learning models from scratch.
• Read and analyze new AI research papers, extracting insights and deploying them in suitable testing environments.
• Design, evaluate, and implement custom testing and evaluation frameworks for different AI models.
• Work with agentic frameworks and develop Proof of Concepts (PoCs) around them.

ML Engineering Responsibilities:

•  ML System Development: Design, develop, and maintain scalable and efficient ML systems, including writing ML services and APIs.
•  Model Deployment: Implement and manage the deployment of transformer-based LLMs into production, ensuring reliability and scalability.
•  Infrastructure Management: Optimize and manage the infrastructure supporting ML workflows in collaboration with relevant teams.
•  Data Pipeline Creation: Build robust data pipelines for data collection, processing, and preparation for ML model training.
•  Performance Optimization: Continuously optimize ML models and infrastructure for better efficiency and scalability.
•  Collaboration: Work closely with data scientists, engineers, and cross-functional teams to integrate ML solutions into existing software.
•  Documentation: Develop and maintain comprehensive documentation for ML systems, APIs, and data pipelines.

Backend Engineering Responsibilities:

• Contribute to product development by integrating ML solutions into real-world applications.
• Design and model real-world scenarios into code to enhance platform capabilities.
• Continuously test, optimize, and refine the codebase to improve efficiency and performance.
• Lead large-scale projects from conceptualization to deployment.
• Develop an ecosystem of tools and libraries to support robust AI-driven applications.
• Collaborate with engineers to build a resilient system architecture adaptable to evolving product requirements.
• Enhance the user experience by working on UI and front-end optimizations.

Ideal Candidate Profile:

•  5+ years of experience designing multi-component ML-based systems.
• Strong background in Natural Language Processing (NLP) and experience in AI research-oriented projects.
• In-depth understanding of Generative AI approaches and methodologies.
• Hands-on experience with ML frameworks like PyTorch, TensorFlow, and Hugging Face.
• Proficiency in Python and a strong grasp of software engineering principles.
• Basic understanding of SQL and database design concepts.
• Strong knowledge of testing fundamentals and best practices.
• Excellent communication and collaboration skills.
• Proven track record in leading and executing technology-driven products.

Bonus Skills:

•  Research publications in the ML domain.
• Experience with agentic frameworks like AutoGen, LangGraph, CrewAI, etc. 
• Prior experience working on high-volume, always-available web applications.
• Expertise in cloud platforms such as AWS, GCP, or Azure.
• Experience deploying ML models in production using Docker and containerization tools.
• Knowledge of distributed systems and large-scale AI infrastructure.
• Startup experience is a plus.