Senior Python Developer

Job Summary

The Senior Python Developer will play a crucial role in designing, developing, and maintaining scalable software solutions using Python. The role involves working on data preparation, analysis, and visualization, implementing machine learning models, and collaborating with cross-functional teams. This position contributes directly to the organization's data-driven decision-making and product innovation.

Responsibilities

• Develop and maintain robust Python applications, ensuring high performance and responsiveness.
• Prepare and analyze data using Python libraries such as Pandas or equivalent tools.
• Create reports and insightful data visualizations using libraries like Matplotlib and Seaborn.
• Implement and optimize supervised and unsupervised machine learning algorithms, including recommendation systems.
• Utilize Django framework for web application development and deployment.
• Integrate and leverage AWS cloud services (e.g., S3, Lambda, Sagemaker) and GCP components (e.g., GCS, Vertex AI, notebook scheduling) to enhance application scalability and performance.
• Interact with Linux systems for server management, including setting up and running cron jobs.
• Implement deep learning and AI models as per project requirements.
• Collaborate effectively within a team, providing clear communication and analytical insights.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
• 4–6 years of hands-on experience with Python programming.
• Proficient in data preparation and analysis using Python (Pandas or similar).
• Experience with data visualization using Matplotlib, Seaborn, or equivalent libraries.
• Practical knowledge of Django for web development.
• Solid understanding of supervised and unsupervised machine learning techniques.
• Awareness of AWS (S3, Lambda, Sagemaker) and GCP (GCS, Vertex AI, notebook scheduling) components.
• Comfortable working with Linux systems, including server setup and cron jobs.
• Knowledge of implementing deep learning and AI models.
• Strong team communication and analytical abilities.

Preferred Skills

• Experience deploying machine learning models in production environments.
• Familiarity with containerization tools such as Docker.
• Knowledge of CI/CD pipelines.
• Exposure to agile development methodologies.
• Prior experience in a cloud-native environment.

Experience

• 4–6 years of relevant professional experience in Python development, data analysis, machine learning, and cloud technologies.

Environment

• Work Location: Bangalore (on-site).
• Collaborative, team-oriented environment.
• May require interaction with cloud-based resources and Linux servers.
• Fast-paced, innovative setting with opportunities to work on advanced data and AI projects.

GrowthOpportunities

• Opportunity to lead complex projects and mentor junior developers.
• Potential for advancement into technical lead or architect roles.
• Exposure to the latest cloud and AI technologies, enhancing career prospects.