Sr. Python Developer

As a Senior Python Developer having 4-6 years of experience with a focus on Python development, your roles and responsibilities will encompass a broad range of tasks aimed at leveraging Python and AI/ML technologies to solve complex problems and build innovative solutions.

Roles & Responsibilities:
Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices.
Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques.
Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.
Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks.
Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects.
Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations.
Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies.
- Experiment with new tools, libraries, and frameworks to improve existing solutions and processes.
Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes.
2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications.

Mandatory Skills:

Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch).

Experience in NLP (Natural Language Processing), including tools like NLTK, SpaCy, or Named Entity Recognition (NER) frameworks."

Experience with data preprocessing, feature engineering, and model evaluation.

Knowledge of software development principles, design patterns, and best practices.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work independently and as part of a team.

Continuous learning mindset and adaptability to new technologies.

Desired Skills:

Experience with version control systems (e.g., Git) & Jira is plus.

Experience with cloud platforms (e.g., AWS, Azure)

Proficiency in software development methodologies such as Agile

Familiarity with database systems such as SQL databases.