Neuron7.ai
Website:
neuron7.ai
Job details:
About Us
Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence platform. Backed by top Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch.
Our quick traction in the market highlights our mission: empowering enterprises to make accurate service decisions at scale.
Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, combined with 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
Why Join Us
At Neuron7.ai, you’ll join a dynamic and innovative team redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries.
About the Role
As a Staff Data Scientist, you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. You’ll bring deep technical expertise and a passion for innovation to launch impactful AI products to live users. You will also mentor junior team members and collaborate closely with cross-functional teams and customers.
What You’ll Do
- 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 PyTorch, NLTK, Scikit-learn, and related libraries.
- Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS.
- Collaborate with data engineering teams for seamless integration of AI models into production systems.
- Perform advanced SQL analytics to extract actionable insights from structured datasets.
- Stay up-to-date with advances in NLP and machine learning.
- Mentor junior data scientists and foster a culture of technical excellence.
- 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 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.
- Strong expertise in Python, PyTorch, NLTK, Scikit-learn, and Transformer-based models (e.g., BERT, GPT).
- Experience developing, training, and optimizing ML and deep learning models (classification, regression, clustering, sequence modeling, embeddings).
- Ability to implement and fine-tune transformer-based models (BERT, GPT-style LLMs, domain-specific LLM architectures).
- Experience building RAG pipelines, vector databases, embedding models, and prompt-optimization workflows.
- Strong experience with cloud platforms (Azure, GCP, AWS).
- Ability to design NLP pipelines for text classification, information extraction, topic modeling, semantic search, summarization, and conversational AI.
- Experience fine-tuning pretrained LLMs and Hugging Face models.
- Ability to develop custom tokenizers, embeddings, and text-processing architectures.
- Familiarity with data engineering pipelines and best practices.
- Proficiency in SQL for analytics and data manipulation.
- Experience building, evaluating, and deploying GenAI models for text generation, document processing, knowledge retrieval, and agent-based automation.
- Experience integrating LLMs into production systems using APIs, LangChain, LlamaIndex, or custom frameworks.
- Experience with designing safety, evaluation, and monitoring processes for GenAI deployments.
- Strong interpersonal and communication skills with the ability to mentor and work with customers.
- Experience working with large-scale datasets using Python, SQL, Spark, Databricks, or cloud data platforms.
- Ability to build ETL/ELT pipelines, feature stores, and model-serving infrastructure.
- Experience deploying ML models to production using Docker, Kubernetes, and CI/CD pipelines.
- Experience implementing monitoring, observability, and retraining workflows.
- Ability to own the full ML lifecycle—from research to deployment and maintenance.
Preferred Skills
- Knowledge of MLOps practices for model deployment and monitoring.
- Familiarity with Airflow, Spark, or similar data-processing frameworks.
- Experience working on customer-facing applications and APIs.
Tools & Technologies
- 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
What We Do and Value
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 committed to excellence in everything we do.
Company Perks & Benefits
- 💰 Competitive salary, equity, and spot bonuses
- 🤕 Paid sick leave
- 💻 Latest MacBook Pro
- 🏥 Comprehensive health insurance
- 🍼 Paid parental leave
- 🏡 Work from our vibrant Bengaluru office
Our Commitment to Diversity and Inclusion
Neuron7.ai is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy), 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 AI solutions and want to be part of a forward-thinking team, we’d love to hear from you!
Click on Apply to know more.