# Principal Applied Data Science

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-06-16

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

Min Experience: 13 years

Location: Bengaluru

JobType: full-time

We are seeking an experienced and visionary **Principal Applied Data Scientist** to lead the design, development, and deployment of cutting-edge AI and Machine Learning solutions. This role is ideal for a highly accomplished professional with deep expertise in **Machine Learning, Large Language Models (LLMs), and Natural Language Processing (NLP)**, along with a proven track record of translating research into scalable, production-grade applications.

As a technical leader, you will work closely with cross-functional teams to solve complex business problems, define AI strategy, and mentor high-performing data science teams. You will drive innovation across the AI lifecycle—from problem formulation and model development to deployment, monitoring, and continuous optimization.

## Requirements

### Key Responsibilities

-   Lead the architecture, design, and implementation of advanced Machine Learning and AI solutions for enterprise-scale applications.
-   Build, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases, including conversational AI, information retrieval, summarization, and intelligent automation.
-   Develop and enhance NLP pipelines for text classification, semantic search, entity recognition, sentiment analysis, document understanding, and knowledge extraction.
-   Design scalable ML systems using modern MLOps practices, ensuring reliability, reproducibility, and operational excellence.
-   Collaborate with engineering, product, and business stakeholders to identify AI opportunities and translate requirements into impactful solutions.
-   Evaluate emerging AI technologies, foundation models, and research trends to drive continuous innovation.
-   Establish best practices for experimentation, model evaluation, responsible AI, and performance optimization.
-   Mentor senior data scientists and engineers, providing technical leadership and fostering a culture of excellence and innovation.
-   Drive end-to-end deployment of AI models while ensuring scalability, security, and compliance with organizational standards.
-   Communicate technical concepts and strategic recommendations effectively to executive leadership and business stakeholders.

### Required Skills & Qualifications

-   13–21 years of professional experience in Data Science, Artificial Intelligence, or Machine Learning, with significant experience leading complex AI initiatives.
-   Strong expertise in **Machine Learning**, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
-   Extensive hands-on experience with **Large Language Models (LLMs)**, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), model evaluation, and AI agents.
-   Deep understanding of **Natural Language Processing (NLP)** concepts, transformer architectures, embeddings, and language understanding techniques.
-   Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar ecosystems.
-   Experience with vector databases, model serving, distributed computing, and cloud-native AI platforms.
-   Solid understanding of MLOps, model lifecycle management, CI/CD for ML, and production deployment strategies.
-   Experience working with large-scale structured and unstructured datasets and modern data engineering practices.
-   Strong analytical, problem-solving, and communication skills with the ability to influence technical and business decisions.

### Preferred Qualifications

-   PhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline.
-   Contributions to AI research, patents, publications, or open-source initiatives are highly valued.
-   Experience leading enterprise AI transformation programs and mentoring large technical teams.
-   Familiarity with responsible AI frameworks, governance, explainability, and ethical AI practices.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/E2399996AC/apply)

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