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
Application Question(s):
Experience:
- Data science: 3 years (Required)
Work Location: In person
