About Role

We are looking for a passionate Python Developer with experience in AI/ML to build scalable data pipelines, train machine learning models, and deploy intelligent applications.
The Python Developer will collaborate with data scientists, engineers, and product teams to build solutions that solve real-world problems using Python and modern ML frameworks.

Roles and Responsibilities

Develop and maintain Python-based applications that leverage AI/ML models.
Design and implement machine learning pipelines from data ingestion to model deployment.
Work with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
Integrate trained models into production systems using REST APIs or cloud platforms.
Write efficient, reusable, and well-documented code for ML workflows.
Optimize model performance and conduct A/B testing or benchmarking.
Collaborate with data engineers to manage data preprocessing, feature engineering, and cleaning.
Stay updated with the latest AI/ML research and best practices.

Required Qualification, Experience & Skills

Strong proficiency in Python 3.x.
Solid understanding of machine learning concepts and algorithms (classification, regression, clustering, etc.).
Experience with ML libraries like scikit-learn, pandas, NumPy, and matplotlib.
Knowledge of deep learning using TensorFlow or PyTorch.
Familiarity with REST APIs and deployment techniques (Flask, FastAPI, Docker).
Hands-on experience with Jupyter Notebooks, Git, and SQL/NoSQL databases.
Experience with ML model deployment on Azure/AWS or MLOps tools (Preferred).
Exposure to NLP, computer vision, or time-series forecasting (Preferred).
Knowledge of data engineering concepts (e.g., ETL pipelines, Airflow, Spark) (Preferred).
Understanding of CI/CD and model versioning practices (Preferred).
Contribution to open-source AI/ML projects or research publications (Preferred).

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