Must have skills required :
LLM, Nltk, Pytorch, Scikit-learn., Transformer based models, NLP, Python
Good to have skills :
Airflow, MLOps, Spark
Neuron7 (One of Uplers Clients) is Looking for:
Staff Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
Role Overview Description
Staff Data Scientist
What Youll Do:
- Lead the development and deployment of LLM and 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 8 years of experience in data science, with a focus on NLP , LLM 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, RAG, GPT, Gen AI ).
- 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.
