Sr Python Developer

2 - 3 Years

Total Experience

Full Time

Job Type

1

No. of Openings

We are seeking a skilled Python Developer with expertise in Artificial Intelligence and Machine Learning to join our dynamic team. The ideal candidate will design, develop, and deploy AI-powered applications, pipelines, and solutions, ensuring performance, scalability, and maintainability in production environments.
Key Responsibilities:

• Design, develop, test, and deploy scalable Python applications.
• Write clean, efficient, and modular code integrating AI/ML models into production systems.
• Develop REST APIs for AI services and manage data pipelines for ML workflows.
• Build, train, evaluate, and optimize machine learning models using libraries such as TensorFlow, PyTorch, or scikit-learn.
• Deploy models using ML frameworks or cloud-based AI services (AWS SageMaker, Azure ML, or GCP AI Platform).
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation.
• Work with structured and unstructured data (CSV, JSON, images, text, etc.).
• Develop data preprocessing pipelines ensuring data quality and readiness for modelling.
• Participate in code reviews, design discussions, and agile ceremonies (stand-ups, sprint planning).
• Stay updated with the latest AI/ML trends, architectures, and algorithms.
• Containerize applications using Docker.
• Deploy AI models in production using CI/CD pipelines.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
• 2-3 years of hands-on experience in Python development.
• Strong understanding of AI/ML concepts, algorithms, and workflows.
• Experience with machine learning libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Proficiency in data manipulation libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn).
• Experience deploying AI models into production systems.
• Familiarity with API development using frameworks like Flask or FastAPI.
• Understanding of SQL and NoSQL databases.
• Experience in Natural Language Processing (NLP) or Computer Vision (CV) projects.
• Knowledge of MLOps practices, ML model monitoring, and continuous training.
• Familiarity with big data tools (Spark, Hadoop) is a plus.
• Working experience with cloud platforms (AWS, Azure, GCP) for AI services.
• Exposure to Deep Learning architectures (CNNs, RNNs, Transformers).