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Weekday AI (YC W21)
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Lead Data Scientist

Lead Data Scientist

Weekday AI (YC W21)

7 years

10 - 20 Lacs

Bengaluru Karnataka India

Posted:1 day ago| Platform:

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Skills Required

data processing drive ai ml cutting learning strategy development engineering design preprocessing deployment recognition analysis summarization extract code experimentation model evaluation interpretability leadership python numpy tensorflow pytorch tuning collaborative communication management statistics aws gcp azure mlflow

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of Weekday's clients
Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)Min Experience: 7 yearsLocation: BengaluruJobType: full-time

Requirements

About the Role:

We are seeking a

Lead Data Scientist

with deep expertise in

Natural Language Processing (NLP)

and

Large Language Models (LLMs)

to drive advanced AI solutions and lead a team of data scientists and ML engineers. This is a unique opportunity to work on cutting-edge machine learning projects, influence product direction, and shape the company's data strategy. The ideal candidate is both a strategic thinker and a hands-on practitioner with strong experience in

Python

, end-to-end ML development, and leading teams.
As a Lead Data Scientist, you will work closely with cross-functional teams including engineering, product, and business stakeholders to develop intelligent systems that create significant business impact.

Key Responsibilities:

Lead and mentor a team of data scientists to develop and deploy ML models, particularly in NLP, generative AI, and LLMs (e.g., GPT, BERT, LLaMA).
Design, build, and implement end-to-end machine learning pipelines, from data preprocessing to production deployment.
Collaborate with product and engineering teams to identify and scope machine learning opportunities aligned with business goals.
Apply advanced NLP techniques (entity recognition, sentiment analysis, text summarization, etc.) to extract insights from unstructured data sources.
Evaluate, fine-tune, and deploy large-scale language models for real-world applications such as chatbots, recommendation engines, document understanding, and automated decision systems.
Drive innovation in data science methodologies and stay up to date with recent advancements in LLMs and generative AI.
Conduct code reviews, set best practices for experimentation and model evaluation, and ensure model reproducibility and interpretability.
Contribute to architectural decisions around model serving, feature engineering, and infrastructure.
Communicate technical findings clearly to both technical and non-technical audiences.

Required Skills & Qualifications:

7+ years of hands-on experience in data science, with at least 3 years in a leadership or technical mentorship role.
Expertise in Python and its data/ML ecosystem (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.).
Proven experience in Natural Language Processing, including practical use of transformers, LLMs, and fine-tuning of pre-trained models.
Strong grasp of ML theory and statistical modeling.
Experience building and deploying machine learning models in production environments.
Ability to lead projects from ideation to delivery in fast-paced, collaborative environments.
Strong communication and stakeholder management skills.
Bachelor's/Master's/PhD in Computer Science, Data Science, Statistics, or related field.

Nice to Have:

Experience with vector databases (e.g., Pinecone, FAISS), RAG pipelines, and prompt engineering.
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, etc.).
Publications or contributions to open-source projects in ML or NLP.

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Lead Data Scientist