ET Future Ready Organisation in the Small &amp; Mid-Size category

ET Future Ready Organisation

AA rated NBFC by ICRA

DMI Finance

JOB PURPOSEKey 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.PRINCIPAL ACCOUNTABILITIES• 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 crossfunctional teams and mentor junior developers.SKILLS AND KNOWLEDGEEducational Qualifications Qualifications ▪ Minimum Qualification required: <Graduate/Postgraduate>Work Experience • 5+ years work experience in full stack developmentTechnical Skills • 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: • Story-lining and slide preparation • Evidence of successful complex stakeholder management across a variety of functions

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