Staff Data Scientist - (AI ML - Graph Neural Networks and NLP) - 10+Years - Bangalore

About the role

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. 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. 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.

Responsibilities

• 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.

Requirements

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.
• Graph Neural Networks and extensive experience in NLP
• 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).
• 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.
• 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 dedicated to delivering excellence in all aspects of our work.
• Company Perks & Benefits:
• 💰 Competitive salary, equity, and spot bonuses.
• 🤕 Paid sick leave.
• 🏥 Comprehensive health insurance.
• 🍼 Paid parental leave.
• 🏡 Flexible work arrangements-work from home or our vibrant Bengaluru office.
• Our Commitment to Diversity and Inclusion:
• 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!

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