Senior Python Developer

About the job: Key responsibilities: 1. Core Development: Design and Development: Architect and develop high-performance Python applications, backend services, and RESTful APIs that handle large-scale data processing and real-time computation. 2. Algorithm Implementation: Build and optimize machine learning algorithms, including statistical models (moving averages, exponential smoothing), predictive models, and signal processing pipelines. 3. Code Optimization: Write clean, efficient, and maintainable code with a focus on algorithmic optimization, memory management, and computational efficiency. 4. Ensure code adheres to Python best practices and industry standards. 5. Integration & Deployment: Integrate third-party services, databases, and cloud-based solutions. Deploy applications securely on cloud platforms (Azure, AWS, GCP) 6. Team Leadership: Lead by example through code quality and technical excellence. 7. Mentor junior and mid-level developers, providing constructive feedback and fostering continuous learning 8. Code Reviews: Conduct thorough code reviews to ensure code quality, security, performance, and adherence to architectural standards. Champion best practices across the team. 9. Technical Architecture: Participate in architectural discussions and contribute to critical technical decision-making. Design systems that are scalable, maintainable, and resilient. 10. Documentation: Create and maintain comprehensive technical documentation, system design specifications, and runbooks for operational procedures. 11. AI Tool Proficiency: Leverage modern AI development tools (Cursor AI, GitHub Copilot, Ollama, local LLMs) to accelerate development, improve code quality, and solve complex problems efficiently. 12. Performance Analysis: Identify performance bottlenecks, conduct profiling, and implement optimization strategies. Use data-driven approaches for system improvement. 13. Stay Current: Research and evaluate emerging technologies, frameworks, and tools. 14. Champion adoption of beneficial technologies that improve team productivity and application performance. 15. Problem-Solving: Troubleshoot complex issues in production and development environments. Root cause analysis and implement systematic solutions. 16. Technical Communication: Articulate complex technical concepts clearly to both technical and non-technical audiences. Lead knowledge-sharing sessions and technical discussions Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 2,50,000 - 3,20,000 /year Experience: 1 year(s) Deadline: 2026-08-05 23:59:59 Skills required: Python, Machine Learning, Data Science, Database Management System (DBMS), Generative AI Tools and AWS CloudFormation Other Requirements: 1. Bachelor’s Degree in Computer Science, Engineering, or related field 2. Open Source Contributions: Active involvement in open-source projects demonstrating technical expertise (optional) 3. Published Work: Research papers, technical blogs, or technical articles on Python, ML, or system optimization (optional) 4. Industry Certifications: AWS Solutions Architect, Azure Developer Expert, or ML-related certifications (optional) 5. Experience with: Financial modeling, trading algorithms, or quantitative analysis (bonus for fintech background) (optional) 6. Advanced Python: Expertise in async programming (asyncio), metaprogramming, or C extensions for performance-critical code (optional) 7. MLOps Experience: Familiarity with model deployment pipelines, monitoring, and production ML systems (optional) About Company: Primetrade.ai is a niche AI and blockchain venture studio, where we help multiple product startups grow in cutting-edge fields of AI and blockchain.