8 Python Code Jobs

Position Details Job Type: Full-Time, on-site (No Work from Home) Working Hours: 9:00 AM 6:00 PM Job Overview: We are seeking a Senior Python developer to work on developing and deploying live trading strategies in the Indian stock market. The role requires a strong technical background, proficiency in Python, and the ability to work with brokers and technical teams to deploy strategies efficiently. You will be responsible for building trading algorithms from scratch and deploying them successfully for live market sessions. You will also be collaborating closely with tech teams, working on API socket connections, and optimizing performance for the algorithmic trading strategies developed and deployed. Key Responsibilities: Algorithm Development: Design, code, and deploy algorithmic trading strategies from scratch using Python, including strategies for equities, derivatives, and other financial instruments in the Indian stock market. Live Strategy Deployment: Ensure smooth deployment of live trading strategies and work closely with brokers' technical teams to integrate with their systems. API & Socket Integration: Develop, manage, and optimize API and socket-based connections for real-time data feeds and order execution, ensuring low latency and high performance. Example : REST API , WEB SOCKET and so on. Collaboration: Work with cross-functional teams (including data scientists, business analysts, and tech teams) to align on strategy and execution goals. Continuous Monitoring: Monitor live trading systems and ensure timely troubleshooting, debugging, and performance optimization. Research & Development: Stay up-to-date with the latest research in AI, machine learning, and quantitative finance. Incorporate new techniques and tools into trading strategies as appropriate. Documentation: Document the strategies, codebase, and deployment processes clearly for future reference and scalability. Key Skills & Requirements Strong Python programming skills, with at least 4 years of hands-on experience. Proven track record in end-to-end product development. Hands-on experience with broker APIs and trading system integration. Expertise in cloud migration (Azure/AWS) and containerization. A minimum of 3 years experience in CI/CD, Agile, SDLC, and Waterfall methodologies. Experience developing applications on Windows, Linux, and SSH environments. Prior managerial experience in a software development company. Strong product ownership mindset and experience managing complex code bases. Basic understanding of the Indian stock markets and trading products is a significant advantage. Experience with market data feeds / order management systems (nice to have) Strong debugging skills for live trading environments (nice to have) What We Offer Competitive salary package A dynamic and challenging work environment in the rapidly growing fintech sector The opportunity to shape the future of automated trading platforms in India Exposure to financial markets, algorithmic trading, and advanced technology stacks

1. Design, develop, and maintain efficient, reusable, and reliable Python code. Implement low-latency, high-availability, and performant applications. 2. Develop RESTful APIs and integrate third-party APIs. Collaborate with cross-functional teams Required Candidate profile Proven experience as a Python Developer (4+ years). Proficiency in Python, with a good understanding of its ecosystems (e.g., FastAPI, , Django, Rest API, Celery, Redis).

1. Design, develop, and maintain efficient, reusable, and reliable Python code. Implement low-latency, high-availability, and performant applications. 2. Develop RESTful APIs and integrate third-party APIs. Collaborate with cross-functional teams Required Candidate profile Proven experience as a Python Developer (4+ years). Proficiency in Python, with a good understanding of its ecosystems (e.g., FastAPI, , Django, Rest API, Celery, Redis).

Job description Seeking a developer who has good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift Cloud Formation and other AWS serverless resources. Can optimize data models for performance and efficiency. Able to write SQL queries to support data analysis and reporting Design, implement, and maintain the data architecture for all AWS data services. Work with stakeholders to identify business needs and requirements for data-related projects Design and implement ETL processes to load data into the data warehouse Good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift Cloud Formation and other AWS serverless resources

The Python Django Rapidor team is currently seeking a Django Developer who possesses a high level of expertise and motivation to contribute to the design and development of web applications. In this role, you will be responsible for backend code development that efficiently interfaces with front end code to facilitate data transactions. Effective communication and collaboration with front end developers are essential aspects of this position. Rapidor, a B2B application dedicated to assisting businesses in order creation, product information digitization, and human capital & inventory monitoring, is headquartered in Cochin, Kerala. We are a dedicated team passionate about aiding SMEs in digitizing their business operations for enhanced efficiency. As our development center is located in Cochin, we are seeking candidates willing to relocate to this vibrant city. Responsibilities: - Collaborate with stakeholders and fellow developers. - Design and implement Python code using the Django framework. - Identify and address bottlenecks resulting from inefficient code. - Troubleshoot and resolve software bugs. - Develop a diverse range of unit tests to validate software functionality. - Ensure platform security. - Create comprehensive documentation for the code. - Possess knowledge of front end languages. Requirements: The ideal Django Developer should have: - Strong problem-solving and critical thinking skills. - Proficiency in Python and the Django framework. - Understanding of event-driven programming and MVC architecture. - Familiarity with SQL databases. - Knowledge of REST and FAST APIs. Skills required: Collaboration, SQL databases, FAST APIs, front end languages, unit tests, Python, event-driven programming, platform security, communication, Django framework, bottlenecks, REST APIs, stakeholders, software bugs.,

Deep understanding of Odoo architecture (frontend, backend, database structure). Experience in installing, configuring, and optimizing Odoo (both Community and Enterprise editions). Proficiency in Linux (Ubuntu, Debian, CentOS) as Odoo primarily runs on Linux-based environments. Experience in setting up and managing virtual machines (VMs), bare-metal servers, and containers. Expertise in PostgreSQL (Odoos database). Experience in database tuning and indexing for performance improvements Experience in AWS, Google Cloud, Azure, or DigitalOcean for cloud-based Odoo hosting (Google Cloud / Google Kubernetes Engine is preferred ). Experience with Git, GitHub/GitLab CI/CD for version control and deployment automation. Profiling and optimizing Python code and PostgreSQL queries.

6+ yrs of Manual testing & QA automation exp using various test automation frameworks & worked on Automation projects. Design, develop, maintain robust & scalable automated test scripts using python & selenium, testing both UI & web services. Required Candidate profile Experience in functional testing, knowledge of QA practices including Agile methodology. Selenium with Python or Java, Git, SQL experience. Generating test data required to execute test cases.

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale