# Data Scientist

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-21

**Salary:** INR 2,000,000–7,000,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟳𝟬 𝗟𝗣𝗔)

Experience: 1+ yrs

Location: Bangalore

We are looking for talented **Data Scientists (Level I / II)** to build and deploy production-grade machine learning, natural language processing (NLP), and large language model (LLM) solutions for enterprise talent and workforce intelligence platforms.

The ideal candidates will have strong Python programming skills, hands-on experience with applied NLP or machine learning, and practical knowledge of transformer models, information retrieval, and model evaluation. This role offers the opportunity to work on large-scale AI systems that extract insights from resumes, job descriptions, skills taxonomies, and other enterprise datasets.

## Requirements

## Key Responsibilities

-   Fine-tune transformer models and LLMs using techniques such as **LoRA and QLoRA** for entity extraction, classification, and reranking.
-   Develop NLP pipelines to extract structured entities, skills, and relevant information from resumes, job descriptions, and other unstructured datasets.
-   Build predictive models for entity classification, entity linking, and skills intelligence.
-   Design and implement knowledge graphs, graph traversal methods, and relationships across large skills taxonomies.
-   Develop retrieval, clustering, semantic search, and learning-to-rank pipelines using embeddings, bi-encoders, and cross-encoders.
-   Apply classical machine learning techniques, including gradient boosting, logistic regression, clustering, and dimensionality reduction.
-   Design robust evaluation frameworks, analyse model errors, select appropriate metrics, and validate improvements through statistical analysis.
-   Process and analyse large datasets containing millions of records using Python, SQL, and relevant data processing tools.
-   Deploy and optimise machine learning models for production environments, ensuring scalability, reliability, and performance.
-   Use experiment tracking, model versioning, Docker, and AWS-based GPU training and serving workflows.
-   Collaborate with engineering and product teams to integrate AI capabilities into enterprise applications.
-   Document experiments, communicate findings, and continuously improve model quality, efficiency, and business impact.

## What Makes You a Great Fit

-   **1–3 years of experience for Data Scientist I or 3–5 years for Data Scientist II** in applied NLP, machine learning, or a related field.
-   Strong proficiency in Python and practical experience with PyTorch, Hugging Face Transformers, sentence-transformers, pandas, and scikit-learn.
-   Hands-on experience fine-tuning transformer models on custom datasets for named entity recognition (NER), classification, or LLM-based tasks using PEFT techniques such as LoRA/QLoRA.
-   Strong understanding of embeddings, attention mechanisms, contrastive learning, semantic retrieval, bi-encoders, and cross-encoders.
-   Working knowledge of classical machine learning algorithms and statistical evaluation methods.
-   Experience with SQL and analysing large-scale datasets.
-   Understanding of learning-to-rank systems, knowledge graphs, entity linking, or large taxonomies.
-   Familiarity with ML lifecycle practices, including experiment tracking, model versioning, Docker, and cloud-based model deployment.
-   Strong analytical thinking, problem-solving ability, and attention to model quality.
-   Clear written communication skills and the ability to explain experiments, results, and technical trade-offs.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/6F902D91A8/apply)

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