55 Asyncio Jobs - Page 3

Python Full Stack Developer About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey Job Title: Python Full Stack Developer Roles and Responsibilities: • Design, develop, and maintain robust, scalable web applications using Python and Django. • Build, test, and maintain RESTful APIs and work closely with front-end developers to integrate user-facing elements with server-side logic. • Implement, test, and maintain efficient, reusable, and modular code. • Optimize applications for maximum speed, scalability, and performance. • Ensure security, data protection, and implement best practices in web application development. • Participate in all stages of the software development lifecycle, including design, code reviews, and debugging. • Collaborate with data science teams to maintain and update document extraction products. • Troubleshoot application issues and bugs effectively. • Stay updated with emerging technologies and industry best practices. Technical Skills: • 2-5 years of hands-on experience in Python development with a strong knowledge of OOPs concepts. • Proficiency in Python and Django, with experience in building scalable web applications. • Strong understanding of asynchronous programming (e.g., using asyncio, Celery). • Experience in developing and consuming RESTful APIs. • Proficiency in working with relational databases (e.g., MySQL). • Good knowledge of front-end technologies (HTML5, CSS3, JavaScript). • Familiarity with cloud platforms like AWS, Azure. • Knowledge of version control systems, such as Git, and CI/CD practices. • Solid understanding of algorithms, data structures, and time/space complexity. • Knowledge of Linux/Windows-based operating systems and command-line tools. • Experience with or knowledge of machine learning algorithms is a plus. Desired Skills: • Ability to write efficient algorithms and optimize them for performance. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills, with a high sense of ownership. • Ability to work independently and provide innovative solutions. • Quick learner with adaptability in a challenging technical environment. Educational Requirements: • UG: B.Tech/B.E. in Computer Science or related field. • PG: Masters in Computer Science, MCA, or equivalent.

We are hiring a Senior Python Development Engineer for our Enterprise-grade high-performance supercomputing platform. We are helping enterprises and service providers build their AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade MLOps platform abstracts infrastructure complexity and enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Senior Software Engineer, you will take ownership of python feature developmentbuilding robust and intuitive frontends that power the user experience. Youll contribute to the core of our enterprise-grade AI platform, collaborating across teams to ensure our systems are performant, secure, and built to last. This is a high impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities: Build Design and implement scalable backend systems using Python and Kubernetes. Develop and maintain robust Python code with high performance, reliability, and security. Participate in architectural design and contribute to defining best practices across the stack. Collaborate with product, ML, DevOps, and UX teams to translate requirements into production ready features. Ensure high code quality through unit testing, automation, code reviews, and documentation. Help scale our infrastructure through contributions to CI/CD, observability, and Kubernetes based deployments. Required Qualifications: 710 years of professional experience in frontend development. Ability to understand requirements, validate assumptions, and independently design and develop solutions. Experience writing reusable, testable, and efficient code. Strong background in object-oriented programming, design patterns, and software architecture. Experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Proficiency in relational databases (e.g., PostgreSQL, MySQL, etc). Familiarity with at least one of the major cloud platforms (AWS, GCP, or Azure). Experience with RESTful API design and implementation. Hands-on experience with Git. Agile methodology experience. Excellent problem-solving, analytical, and interpersonal skills. Ability to work independently and perform well in a fast-paced environment. Passion for programming and continuous learning. Preferred Qualifications: Experience with Test-Driven Development (TDD). Experience with automated testing frameworks (pytest, unittest). Experience with asynchronous programming (asyncio, Celery). Exposure to DevOps practices and infrastructure as code (Terraform, Ansible).

Position Overview: We are seeking a highly skilled and experienced Software Engineer with 4- 8 years of professional experience in Python and Django, specifically in building REST APIs using frameworks like FASTAPI and Django Rest Framework (DRF). The ideal candidate should have hands-on experience with Redis cache, Docker, PostgreSQL, Kafka, Elasticsearch, and ETL pipelines. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and maintain high-quality software solutions using Python, Django (including DRF), FastAPI, and other modern frameworks. Build robust and scalable REST APIs, ensuring efficient data transfer and seamless integration with frontend and third-party systems. Utilize Redis for caching, session management, and performance optimization. Design and implement scalable ETL pipelines to efficiently process and transform large datasets across systems. Integrate and maintain Kafka for building real-time data streaming and messaging services. Implement Elasticsearch for advanced search capabilities, data indexing, and analytics functionalities. Containerize applications using Docker for easy deployment and scalability. Design and manage PostgreSQL databases, ensuring data integrity and performance tuning. Write clean, efficient, and well-documented code following best practices and coding standards. Participate in system design discussions and contribute to architectural decisions, particularly around data flow and microservices communication. Troubleshoot and debug complex software issues, ensuring smooth operation of production systems. Profile and optimize Python code for improved performance and scalability. Implement and maintain CI/CD pipelines for automated testing and deployment. Key Requirements: 4 - 8 years of experience in backend development using Python. Strong proficiency in Django, DRF, and RESTful API development. Experience with FastAPI, asyncio, and modern Python libraries. Solid understanding of PostgreSQL and relational database concepts. Proficiency with Redis for caching and performance optimization. Hands-on experience with Docker and container orchestration. Familiarity with Kafka for real-time messaging and event-driven systems. Experience implementing and maintaining ETL pipelines for structured/unstructured data. Working knowledge of Elasticsearch for search and data indexing. Exposure to AWS services (e.g., EC2, S3, RDS) and cloud-native development. Understanding of Test-Driven Development (TDD) and automation frameworks. Strong grasp of Git and collaborative development practices. Excellent communication skills and a team-oriented mindset. Experience with Agile development methodologies. What We Offer: Opportunity to shape the future of unsecured lending in emerging markets Competitive compensation package Professional development and growth opportunities Collaborative, innovation-focused work environment Comprehensive health and wellness benefits Location & Work Model: Immediate joining possible Work From Office Based in Gurugram, Sector 65

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs via APIs; optimize for performance and cost Use AI assistants for code generation, testing, and documentationrefining outputs through expert review Track experiments via MLflow and deploy using CI/CD, Docker, and Kubernetes Define metrics for generative AI performance (e.g. latency, accuracy, user satisfaction) Share findings and lead technical discussions with NYC stakeholders Knowledge and Experience 5+ years in software development, 2+ with GenAI or NLP Proficiency in Python (FastAPI, asyncio); strong with Hugging Face, OpenAI APIs, LangChain Experience with vector databases (e.g. Pinecone, Weaviate) and MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively Excellent written and oral English communication Familiarity with financial-market data (e.g. order books, trading events) Preferred Knowledge and Experience M.S. or Ph.D. in ML, AI, or related field Peer-reviewed publications in related fields

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs via APIs; optimize for performance and cost Use AI assistants for code generation, testing, and documentationrefining outputs through expert review Track experiments via MLflow and deploy using CI/CD, Docker, and Kubernetes Define metrics for generative AI performance (e.g. latency, accuracy, user satisfaction) Share findings and lead technical discussions with NYC stakeholders Knowledge and Experience 10+ years in software development, 3+ with GenAI or NLP Proficiency in Python (FastAPI, asyncio); strong with Hugging Face, OpenAI APIs, LangChain Experience with vector databases (e.g. Pinecone, Weaviate) and MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively Excellent written and oral English communication Familiarity with financial-market data (e.g. order books, trading events) Desired Knowledge and Experience M.S. or Ph.D. in ML, AI, or related field Peer-reviewed publications in related fields.