Lead Data Scientist | Bangalore in Bengaluru, Karnātaka at Neuron 7

Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments—such as high-tech devices, manufacturing, and medical devices—Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai.

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.

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.

Lead the development and deployment of 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 datasets.

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.

Minimum 8 years of experience in data science, with a focus on NLP 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, GPT).

Develop, train, and optimize ML and deep learning models (classification, regression, clustering, sequence modeling, embeddings).

Implement and fine-tune transformer-based models such as BERT, GPT-style LLMs, and domain-specific architectures.

Build and deploy RAG (Retrieval-Augmented Generation) pipelines, vector databases, embedding models, and prompt optimization workflows.

Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Design and implement NLP pipelines for text classification, information extraction, topic modeling, semantic search, summarization, and conversational AI applications.

Fine-tune pretrained LLMs and Hugging Face models for domain-specific tasks.

Develop custom tokenizers, embeddings, and text-processing architectures.

Familiarity with data engineering pipelines and best practices.

Proficiency in SQL for analytics and data manipulation.

Build, evaluate, and deploy GenAI models for text generation, document processing, knowledge retrieval, and agent-based automation.

Integrate LLMs into production systems using APIs, LangChain, LlamaIndex, or custom frameworks.

Design safety, evaluation, and monitoring processes for GenAI deployments.

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.

Work with large-scale datasets using Python, SQL, Spark, Databricks, or cloud data platforms.

Build ETL/ELT pipelines, feature stores, and model-serving infrastructures.

Deploy ML models into production environments using Docker, Kubernetes, and CI/CD pipelines.

Implement monitoring, observability, and retraining workflows.

Mentor junior data scientists and provide technical oversight for AI/ML projects.

Collaborate with cross-functional teams to define model requirements and success metrics.

Own the full ML lifecycle from research to deployment and ongoing maintenance.

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.

Programming: Python, SQL, PyTorch, TensorFlow

NLP/LLM: Hugging Face, Transformers, BERT, GPT models, LangChain, LlamaIndex

RAG: Vector stores (FAISS, Pinecone, Chroma), embeddings, retrievers

Cloud: AWS / GCP / Azure

MLOps: MLflow, Airflow, Kubeflow, Docker, Kubernetes

Visualization: Power BI, Tableau, matplotlib, seaborn

At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach.

Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.

Competitive salary, equity, and spot bonuses.

Paid sick leave.

Comprehensive health insurance.

Paid parental leave.

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.

If you’re excited about building innovative backend solutions and want to be part of a forward-thinking team, we’d love to hear from you!