Staff Data Scientist – Graph Neural Networks (GNN) & Predictive AI

Neuron7.ai; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Competitive salary and equity

Paid time off

Latest MacBook Pro

Hybrid working model

Job summary

Neuron7.ai in Bengaluru seeks a Staff Data Scientist to lead the design and deployment of NLP-driven solutions. You will mentor junior team members and collaborate with cross-functional teams to launch impactful AI products. The ideal candidate has over 10 years of experience in data science, particularly in NLP and LLM, with a proven track record of delivering products to live users.

Benefits include a hybrid work model, competitive salary, and the latest MacBook Pro.

Qualifications

• Minimum 10 years of experience in data science, focused on NLP.
• Proven track record of launching NLP-driven products to live users.
• Strong experience with cloud platforms for AI/ML products.

Responsibilities

• Lead the development of LLM and NLP-based solutions.
• Design, train, and optimize machine learning models.
• Collaborate with engineering teams for integration.

Skills

NLP expertise

Machine learning model optimization

Python proficiency

SQL analytics

Cloud platforms (Azure, GCP, AWS)

Tools

PyTorch

NLTK

Scikit-learn

Job description

Why Join Us

At Neuron7.ai, you’ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries.

About the Team

As a Staff Data Scientist at Neuron7.ai, you will lead the design, development, and deployment of NLP‑driven solutions for processing and analyzing large volumes of unstructured data. You will bring a deep technical skill set and a passion for innovation to launch impactful AI products to live users. You will also serve as a mentor to junior team members and collaborate closely with cross‑functional teams and customers.

What You’ll Do

• Lead the development and deployment of LLM and NLP‑based solutions to process and analyze unstructured data at scale.
• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit‑learn.
• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.
• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.
• Perform advanced SQL analytics to extract actionable insights from structured data sets.
• Stay up‑to‑date with the latest advancements in NLP and machine learning techniques.
• Mentor junior data scientists and foster a culture of technical excellence within the team.
• Communicate complex technical concepts to non‑technical stakeholders and customers.
• Partner with customers to understand their needs and translate them into technical solutions.

What We’re Looking For

• Minimum 10 years of experience in data science, with a focus on NLP, LLM, and unstructured data processing.
• Proven track record of launching NLP‑driven products to live users.
• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit‑learn.
• Experience with Transformer‑based models (e.g., BERT, RAG, GPT, Gemini).
• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.
• Familiarity with data engineering pipelines and best practices.
• Proficiency in SQL for analytics and data manipulation.
• Excellent problem‑solving skills and ability to work with large‑scale datasets.
• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Preferred Skills

• Knowledge of MLOps practices for model deployment and monitoring.
• Familiarity with tools like Airflow, Spark, or similar data processing frameworks.
• Background in working with customer‑facing applications and APIs.

Benefits

• Competitive salary and equity.
• Paid time off.
• Latest MacBook Pro.
• Hybrid working model; option to work from our vibrant Bengaluru office.

Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law.