Fullstack Developer (Python)

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Key Responsibilities:

Key Member of the Analytics Team: Collaborate closely with cross-functional teams and leadership to implement analytics-driven solutions.
End-to-End Ownership: Take ownership of full stack development for analytics and modeling projects, ensuring successful implementation from conception to deployment.
Development of AI-Powered Applications: Lead the development of AI-driven products and tools, integrating advanced algorithms and machine learning models into our applications.
Versatility Across Teams and Projects: Engage with various teams and stakeholders across different projects within the Consumer Finance Business, leveraging your full stack expertise to deliver impactful solutions.
Advanced Technical Skills: Extensive experience in full stack development with expertise in Python, Django, JavaScript frameworks, and RESTful APIs to administer/support such development.
UI/UX Design Expertise: Proven track record in designing and implementing modern, responsive user interfaces with a focus on user experience.
DevOps Proficiency: Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and cloud platforms (AWS, Azure, GCP) for automated deployment and scaling.
Database Mastery: Strong understanding of database management systems, including relational and NoSQL databases, with a focus on performance tuning and scalability.
Team Collaboration: Excellent communication skills with a collaborative mindset, able to work effectively in cross- functional teams and mentor junior developers.

Role Proficiencies:

Minimum Qualification required:
5+ years work experience in full stack development
Advanced Front-end Technologies: Proficiency in HTML5, CSS3, and JavaScript frameworks (e.g., React, Angular, Vue.js) to create dynamic and interactive user interfaces.
Back-end Development: Extensive experience with Python for developing scalable back-end services and integrating with front-end applications via RESTful APIs.
Analytical and Machine Learning Skills: Hands-on experience in building and managing applications that incorporate analytical models and machine learning algorithms.
Database Expertise: Strong understanding of SQL for relational databases and familiarity with NoSQL databases for handling large-scale data storage and retrieval. Knowledge of databases like MySQL, Redis, PostgresSQL, MongoDB.
ML Ops Knowledge: Good understanding of ML ops practices, including model deployment, monitoring, and optimization.
Problem-Solving Abilities: Proven track record in solving complex technical problems and implementing innovative solutions.
Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders and collaborate effectively within a team environment.
Bonus points for: â€¢ Story-lining and slide preparation â€¢ Evidence of successful complex stakeholder management across a variety of functions

Experience:
5 - 8 Years
Salary:
28 LPA - 30 LPA
Diversity Candidate:
Yes
Location:
Delhi
Address:
Delhi
Primary Skills:
Python, Django, Fullstack, angular, react, AWS, GCP, CI/CD tools
Industry:
Information Technology/IT
Job Type:
Full time
Degree:
Graduate/Postgraduate â€“ Eng./Statistics/Finance