Staff Data Scientist – Graph Neural Networks (GNN) & Predictive AI
Bengaluru
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full Time
Read the full posting
What you’ll work on
Full postingLead 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.
Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.
From the employer’s posting
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 libraries such as PyTorch, NLTK, and Scikit-learn.
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.
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.
What you’ll bring
All qualificationsPreferred experience
- Knowledge of MLOps practices for model deployment and monitoring.
- Familiarity with tools like Airflow, Spark, or similar data processing frameworks.
Qualification wording
Knowledge of MLOps practices for model deployment and monitoring.
Familiarity with tools like Airflow, Spark, or similar data processing frameworks.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Google Cloud (GCP)
- Spark
- Airflow
- PyTorch
- scikit-learn
Source — Tool mentions in context
- 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).
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.
- 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.
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.
- 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.
- 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.
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.
About Neuron7
Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale.
In the employer’s words · Read in context
Job description
- 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.
- 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.
Employment type
Full Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 36
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.