Data Scientist

Experience: 3+ years

Job Summary:

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning and Python programming. The ideal candidate should be passionate about writing clean and efficient code, developing production-ready ML models, and solving complex business challenges using data. In addition, good exposure to Generative AI (GenAI) is highly desirable.

This role is best suited for someone who thrives in coding-intensive environments, enjoys experimenting with algorithms, and can translate theoretical concepts into scalable ML and AI solutions.

Responsibilities:

Machine Learning Development: Design, build, and optimize classical ML models (regression, SVM, decision trees, random forests, gradient boosting, clustering, dimensionality reduction).

Python Programming: Write clean, efficient, and scalable Python code, leveraging libraries such as NumPy, Pandas, Scikit-learn, etc.

Deep Learning Systems: Implement and fine-tune deep learning models (CNNs, RNNs, Transformers) using frameworks like TensorFlow or PyTorch.

Generative AI (Good Exposure Required): Work with LLMs, Transformers, GANs, VAEs; fine-tune and optimize GenAI models; contribute to prompt engineering and applied use cases.

Data Management & Feature Engineering: Handle large datasets, perform preprocessing, augmentation, and feature engineering for ML workflows.

Model Deployment & Monitoring: Deploy models into production and monitor performance, addressing issues like drift, bias, or overfitting.

Coding Standards: Participate in code reviews, ensure best practices in coding, scalability, and maintainability of ML solutions.

Collaboration: Work closely with cross-functional teams including engineers and product managers to integrate ML/GenAI solutions into real-world applications.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or related fields.

Primary Skills: Strong expertise in Machine Learning and Python programming.

Good exposure to Generative AI (LLMs, Transformers, Prompt Engineering, Fine-tuning models)

Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras.

Good mathematical/statistical foundation in probability, optimization, and modeling.

Familiarity with deployment platforms (AWS SageMaker, Azure ML, GCP AI) and MLOps practices is an advantage.

Strong coding discipline, with experience in writing optimized, production-ready code.

Job Types: Full-time, Permanent

Pay: ₹600,000.00 - ₹1,600,000.00 per year

Benefits:

Health insurance

Life insurance

Paid sick time

Paid time off

Provident Fund

Ability to commute/relocate:

Jaipur, Rajasthan: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

How soon you can join ?

Experience:

Machine learning: 3 years (Required)

Work Location: In person