Location-Hyd/Noida/Gurgaon. Exp-8+ years. Work experience as a Python Developer. Expertise in at least one popular Python framework (like Django, Flask or Pyramid). Knowledge of object-relational mapping (ORM). Familiarity with front-end technologies (like JavaScript and HTML5). Extensive working exp in AWS. Exposure & Working experience in AI tools. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Job Summary. BOL7 Pvt Ltd is hiring a Python Developer to build and maintain the backend services and APIs that power our products, from our Sector 16, Noida office. You will design clean, well-tested code, work with databases and third-party integrations, and collaborate with the frontend and DevOps teams to ship features end to end. Candidates with experience in Django or FastAPI will be preferred. Responsibilities. Design, build, and maintain backend services and REST APIs in Python. Write clean, reusable, and well-tested code following team standards. Design database schemas and write efficient queries. Integrate third-party APIs, payment gateways, and messaging services. Optimise application performance, reliability, and scalability. Debug and resolve production issues reported by the team or customers. Participate in code reviews and technical discussions. Document APIs and technical decisions for the wider team. Qualifications. B.Tech / BCA / MCA in Computer Science or a related field, or equivalent practical experience. Strong fundamentals in data structures, algorithms, and OOP. A portfolio, GitHub profile, or live projects will be an added advantage.

Cloud Maven is hiring a Senior Salesforce Developer in Noida to design, develop, and maintain scalable Salesforce applications supporting a growing B2B SaaS product line. You will build reusable enterprise components using Apex, Lightning Web Components, Visualforce, and Flows, contributing to a shared library that accelerates delivery across multiple client engagements. Beyond core Salesforce development, the role expects working knowledge of broader backend technologies including Java, Python, Node.js, and SQL, along with REST API design and cloud platforms such as AWS and GCP. This breadth reflects Cloud Maven's approach of pairing deep Salesforce expertise with general software engineering skills to deliver more flexible, integration-ready enterprise solutions for B2B SaaS clients.

Develop advanced machine learning models and algorithms to solve business challenges. Analyze large datasets, create visualizations, maintain data systems and collaborate with cross-functional teams. Stay updated with emerging technologies and implement innovative AI solutions.

Design, develop and deploy machine learning models and large-scale data pipelines. Perform feature engineering, model evaluation and ETL development. Manage ML lifecycle using MLflow and Airflow while deploying scalable AI solutions through Docker, Kubernetes and cloud platforms.

Build and deploy machine learning models to solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation and feature engineering using Python and SQL. Conduct predictive modeling and statistical analysis on structured and unstructured datasets. Develop AI/ML solutions using TensorFlow, PyTorch and Scikit-learn. Implement NLP and Generative AI solutions leveraging LLMs and prompt engineering. Manage end-to-end ML lifecycle including deployment, monitoring and maintenance using cloud and MLOps tools.

Design and develop backend APIs and services using Python frameworks. Collaborate with frontend and DevOps teams, manage database interactions, implement security standards, and support production deployments.

Design, develop, and maintain backend applications and RESTful APIs. Build integrations with third-party platforms, optimize SQL Server performance, collaborate with teams, troubleshoot issues, maintain documentation, and ensure scalability and security.

Develop backend applications, RESTful APIs, automation scripts and data-driven systems using Python. Implement business workflows, integrate third-party services, optimize application performance, maintain technical documentation and participate in Agile development processes. Ensure application security, scalability and reliability.

Build and deploy Generative AI and Machine Learning solutions for enterprise applications. Develop LLM-powered systems using RAG architectures, prompt engineering, embeddings, semantic search, vector databases, and agentic AI frameworks. Optimize models, integrate AI services with enterprise systems, and ensure scalable, secure, and responsible AI deployments across business functions.