Posted By
Kritika
Associate - People Team at EUPHONIOUS INNOVATIONS PRIVATE LIMITED
Last Active: 31 October 2025
Posted in
IT & Systems
Job Code
1632859
4.6
12+ Reviews
Looking for a Senior Data Scientist with a solid foundation in Deep Learning and Traditional Machine Learning To Deliver high-impact solutions that align with our AI product strategy.
This position is perfect for someone who drives in a fast-paced, innovative environment and is focused on executing sophisticated AI/ML projects from conception to deployment.
Responsibilities:
- Develop NLP models and algorithms for entity extraction and document processing.
- Fine-tune and optimize LLMs.
- Work on Retrieval-Augmented Generation to improve model responses and data retrieval processes.
- Ensure efficient serving, maintenance, and optimization of models.
- Provide mentorship and technical guidance to team members.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related fields.
- 8+years of experience with a strong portfolio in Deep Learning and Traditional Machine Learning.
- Proficiency in Python and extensive experience with Deep Learning frameworks (e.g , PyTorch, TensorFlow).
- Track Record of developing and deploying impactful AI models, with specific expertise in Document AI.
- Exceptional problem-solving skills and the ability to work with complex data sets to drive actionable insights.
Must-Have Skills.
- Strong understanding of Data Science fundamentals and best practices.
- Proven experience in NLP and transformers.
- Hands-on experience with LLMs and their fine-tuning.
- Expertise in model serving and optimization.
- Proficiency in Python and extensive experience with Deep Learning frameworks (e.g , PyTorch, TensorFlow).
Good-to-Have Skills:
- Experience with cloud services (AWS, Google Cloud, Azure).
- Familiarity with ML platforms for LLMs.
- Knowledge of MLOps practices.
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Posted By
Kritika
Associate - People Team at EUPHONIOUS INNOVATIONS PRIVATE LIMITED
Last Active: 31 October 2025
Posted in
IT & Systems
Job Code
1632859