CT
Full time
🤖 AI / ML
Data Scientist at Celebal Technologies
Listed by DevShelfHub
Jaipur, Rajasthan (On-site)
WFO
Mid-level · 3–7 yrs
About the Role
Celebal Technologies is hiring a Data Scientist in Jaipur to develop Classical Machine Learning, Conversational AI, and Deep Learning systems with focus on Generative AI, NLP, and LLM optimization.
This role builds and fine-tunes models including GANs, VAEs, Transformers, and classical ML algorithms while deploying production-grade AI solutions on cloud platforms.
What you'll do
- Develop innovative AI-based systems across Generative AI, classical ML, and deep learning.
- Developing Generative AI solutions and fine-tuning GANs, VAEs, and Transformers
- Designing classical ML models for complex business challenges
- Training and deploying deep learning models (CNNs, RNNs, LSTMs, Transformers)
- Participating in NLP activities and optimizing prompts for LLMs
- Working with large datasets for preprocessing and feature engineering
- Fine-tuning models through hyperparameter optimization
- Monitoring model performance for drift, overfitting, and bias
- Participating in code and design reviews
- Collaborating with data scientists, engineers, and product managers
- Staying current with AI/ML trends and applying cutting-edge techniques
What we're looking for
- Bachelor's or Master's in Computer Science, Mathematics, Statistics, Data Science, or related field
- Extensive experience in classical ML and deep learning (TensorFlow, PyTorch, Keras)
- NLP expertise with LLMs (GPT, BERT, T5) and prompt engineering
- Proficiency in Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers
Skills & Technologies
Required
Bachelor's or Master's in Computer Science, Mathematics, Statistics, Data Science, or related field
Extensive experience in classical ML and deep learning (TensorFlow, PyTorch, Keras)
NLP expertise with LLMs (GPT, BERT, T5) and prompt engineering
Proficiency in Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers
Strong statistical modeling and mathematical optimization knowledge
Model deployment experience on AWS SageMaker, Azure ML, or GCP AI
MLOps practices familiarity
Code review and system design experience for large-scale AI/ML systems
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build end-to-end GenAI and classical ML systems from model development through MLOps deployment at a Series B enterprise technology company.
- Develop Generative AI solutions with GANs, VAEs, and Transformers
- Design classical ML models: regression, decision trees, SVMs, random forests, gradient boosting
- Train, fine-tune, and deploy CNNs, RNNs, LSTMs, GANs, and Transformers
- Optimize prompts and outcomes for LLMs (GPT, BERT, T5)
- Perform data preprocessing, augmentation, and feature engineering at scale
- Fine-tune models through hyperparameter optimization
- Participate in code and design reviews for scalable AI/ML systems
- Deploy models using AWS SageMaker, Azure ML, or GCP AI
- Collaborate with cross-functional teams on production ML integration
About Celebal Technologies
Celebal Technologies is a premier software services company in Data Science, Big Data, and Enterprise Cloud, helping organizations discover competitive advantage through intelligent data solutions. Solutions are powered by Robotics, AI, and ML algorithms offering improved business efficiency in the interconnected world.
- Industry
- Technology
- Company Size
- 500+
- Website
- celebaltechnologies.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–7 years
- Location
- Jaipur, Rajasthan (On-site)
- Work Mode
- WFO
- Category
- AI / ML
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