Python Developer

Key Responsibilities
- Develop and test Python-based web applications and test automation scripts.
- Work with GenAI models to develop smart AI-powered business applications and AI
agents - Work with workflow automation tools such as n8n, make.com to create AI-powered
business workflow automation and multi-agent workflows - Customize open source GenAI models and fine-tuning the models as per business
requirements - Develop REST APIs using web frameworks such as Django and FastAPI
- Designing and building machine learning models using libraries like Scikit-learn,
TensorFlow, PyTorch, etc. - Clean and preprocess data using Pandas, NumPy, and other data-handling libraries.
Implement algorithms and statistical models for predictive analytics. - Build APIs or data pipelines to integrate AI/ML models with applications.
- Participate in debugging and performance tuning.
- Collaborate with other developers and project managers to understand project goals
Minimum Requirements
- Strong understanding of Python programming language.
- Knowledge of Machine Learning algorithms and concepts.
- Familiarity with libraries: NumPy, Pandas, Scikit-learn, Matplotlib,
TensorFlow/PyTorch. - Excellent problem-solving, analytical skills and ability to learn new concepts rapid
fast. - Understanding of data structures and algorithms.
- Excellent knowledge of SQL, schema designs and databases.
- Exposure to Git/GitHub for version control.
- Ability to work independently without any guidance or handholding
- Ability to work under pressure and in extended hours
- Ability to take negative feedback and criticism constructively
What We Offer
- Opportunity to work on next-gen projects and solve real business problems.
- Ability to do research on various AI tools and libraries
- Hands-on experience with AI/ML projects and agentic workflows.
- Knowledge of Natural Language Processing (NLP) or Computer Vision.
- Understanding of APIs and RESTful services.
- Hands-on training in real-time projects.
- Access to paid AI tools and libraries
- Environment to conduct research and development
- Exposure to industry-standard practices in software development and machine
learning