Staff Data Scientist – Graph Neural Networks (GNN) & Predictive AI
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Staff Data Scientist Graph Neural Networks (GNN) & Predictive AI
Loction : Bangalore
Experince : 8 Years
About Us:
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 complex service environmentssuch as high-tech devices manufacturing and medical devices helps service leaders excel in critical metrics like first-call resolution turnaround time and service margins. Learn more at.
Why Join Us:
About the Team:
What Youll 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 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.
What Were Looking For:
- 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:
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 arrangementswork from home or our vibrant Bengaluru office.
Our Commitment to Diversity and Inclusion:
If youre excited about building innovative backend solutions and want to be part of a forward-thinking team wed love to hear from you!
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
About Company
Resolve issues faster, the first time, in complex service environments with Service AI Solutions that learn from your data and people to deliver accurate, turn-by-turn guidance.
