Design and implement low-latency, high-availability Python applications. Develop reusable code, integrate databases and front-end components, implement security controls, manage data storage solutions, and ensure software quality standards.

Develop, maintain, and enhance Python-based enterprise applications. Work on software development projects, optimize application performance, and contribute to system design and implementation activities.

Design, develop, and test scalable backend systems for enterprise and government-grade applications. Collaborate with cross-functional teams, develop high-quality code, troubleshoot technical issues, participate in code reviews, and stay updated with the latest Python development technologies and best practices.

Design and maintain backend applications and enterprise-grade web solutions using Python. Build RESTful APIs, manage PostgreSQL databases, optimize query performance, troubleshoot applications and collaborate with QA and project teams. Ensure code quality, deployment readiness and secure application architecture.

Design, develop and maintain Python applications, APIs and automation solutions. Build RESTful services, integrate third-party APIs, optimize backend performance, manage databases, participate in system design discussions, write unit tests and maintain technical documentation. Collaborate with frontend, DevOps and product teams for successful project delivery.

Develop and implement machine learning models, work with Retrieval Augmented Generation (RAG) architectures, manage CRM-related analytics, and deliver client-focused AI and data science solutions. Analyze business requirements, create predictive models, and communicate technical insights effectively to business stakeholders.

Lead development of scalable web applications, architecture design, API services and code reviews while mentoring development efforts.

Develop healthcare backend systems, APIs and integrations while maintaining code quality, system performance and project timelines.

Build enterprise-grade backend applications, optimize PostgreSQL databases, integrate APIs and support deployment activities for scalable solutions.

Qualification: M.Sc in Statistics/ Masters in relevant discipline Experience: Minimum 1-2 years experience in data analysis preferably in biomedical research.Desirable Experience: Proficiency in Python, coding and statistical programming, Candidates with exposure to Machine Learning (ML) applications and data analytics will be preferred. Age limit: 25-35 years Location: Kharghar ,Interested candidates may send their CVs to kharghar@ssssrf.org