Staff Data Scientist | (AI ML |Graph Neural Networks and NLP) (Karnataka)

p> As a Staff Data , 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. 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. 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 We re 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. Solid 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. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. p> As a Staff Data , 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. 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. 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 We re 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.