Product Lead - Digital Platforms Top Fintech company only

We are seeking a Senior UI/UX Designer & Developer to lead user‑experience and interface design across our AI platform. The ideal candidate will have deep experience crafting complex digital products from concept to launch, be highly proficient in Figma and other modern design/prototyping tools, and be motivated to translate AI‑driven workflows into intuitive experiences for clinicians, researchers and business users. This role demands excellent problem‑solving skills, the ability to conduct user research and synthesise insights into design decisions, and the technical know‑how to collaborate with full‑stack engineers on the implementation.

Key Responsibilities

• Lead UX Strategy & Research
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• Conduct discovery research, interviews and design-thinking sessions to understand user needs, pain points and mental models, especially in clinical and med‑tech contexts .
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• Gather and interpret analytics, telemetry and user feedback to inform product roadmaps and AI‑assisted experiences.
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• Design AI‑Enabled User Journeys
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• Craft user flows and interaction patterns for AI‑powered features (e.g., conversational interfaces, predictive insights) ensuring the outputs are trustworthy and actionable.
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• Collaborate with product and engineering teams to scope MVP features, create wireframes and high‑fidelity mock‑ups, and iteratively refine the designs based on feedback .
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• Develop & Prototype
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• Build interactive prototypes using Figma and other rapid‑prototyping tools; implement responsive UI components using HTML, CSS, JavaScript/TypeScript or React.
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• Work alongside full‑stack developers to translate designs into production code, ensuring accessibility, performance and adherence to design systems .
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• Establish Design Systems & Best Practices
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• Define and maintain a scalable design system with pattern libraries, UI components and design tokens.
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• Champion UX best practices such as usability testing, heuristic evaluations and inclusive design .
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• Evaluate emerging AI design tools and generative capabilities to accelerate design workflows.
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• Cross‑Functional Collaboration
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• Communicate design decisions effectively to stakeholders, including product managers, AI scientists, clinicians and business leaders .
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• Participate in Agile ceremonies, provide UX input on backlog prioritisation and contribute to sprint planning and reviews .
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Qualifications & Experience

• Experience:
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• 6-10 years of UI/UX design experience with at least 3–5 years designing complex SaaS platforms or AI‑enabled products in healthcare, med‑tech or regulated industries.
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• Demonstrated success leading end‑to‑end design projects—from discovery through research, prototyping, user testing and production.
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• Strong understanding of AI concepts (generative AI, NLP, predictive analytics) and how they impact user experience.
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• Skills:
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• Expert proficiency with Figma and similar design tools like Sketch, Adobe XD and ProtoPie.
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• Strong knowledge of design systems, human‑centered methodologies and data‑driven UX decision‑making .
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• Proficiency in front‑end technologies (HTML5, CSS3/SASS, JavaScript/TypeScript or React) and understanding of responsive design and accessibility standards .
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• Ability to communicate designs and concepts clearly and persuasively to non‑design audiences .
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• Experience with Agile/Scrum, CI/CD workflows and collaboration tools such as Jira, Confluence and Git.
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• Preferred:
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• Familiarity with healthcare regulations (HIPAA, SaMD) and designing compliant user experiences.
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• Experience working with global teams (US, India, EMEA) and designing multi‑language interfaces.
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What Success Looks Like

• Deliver intuitive, accessible interfaces that empower clinicians and researchers to leverage AI‑driven insights with minimal friction.
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• Establish a cohesive design system across the IntraIntel.ai platform and ensure consistency across modules.
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• Collaborate closely with development teams to ensure seamless hand‑offs and high‑quality implementation of UI components.
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• Mentor junior designers and developers, fostering a culture of experimentation, empathy and user advocacy.
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Application & Evaluation

Candidates should be prepared to present a portfolio demonstrating complex project work, particularly AI‑enabled or healthcare‑related interfaces. We value clear communication, a passion for solving real‑world problems and the ability to translate technological possibilities into human‑centered solutions.

Deliver engaging classroom and/or online training sessions on topics including:

Python for Data Science Data Analytics using Excel and SQL

Statistics and Probability

Machine Learning and Deep Learning

Data Visualization using Power BI / Tableau

Create and update course materials, projects, assignments, and quizzes.

Provide hands-on training and real-world project guidance.

Evaluate student performance, provide constructive feedback, and track progress.

Stay updated with the latest trends, tools, and technologies in Data Science.

Mentor students during capstone projects and industry case studies.

Coordinate with the academic and operations team for batch planning and feedback.

Assist with the development of new courses and curriculum as needed.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

Job description:

•Candidate should have basic communication and good convincing power.

•Candidate should be comfortable with calling.

•Lead generation, Ability to work in a team or individually as and when required.

•Outstanding problem solving skills.

•Have great interpersonal skills.

•Candidate should have strong organizational skills.

• Works towards developing Stable & Efficient Applications for
• Responsible for developing Applications which are Stable, Efficient and if required cross   
• Responsible to create Native Applications for Android to achieve best performance.
• Responsible for understanding best UI Practices
• Responsible for creating Application UI utilizing latest Google UI Guide lines.
• Qualification: B.E. / B.Tech / M.C.A. in Computer Sciences.
• Should have Experience of at least one production environment Application in Google Play Store. GIT, Agile Frameworks, Jenkins
• Must have Java, Android, C, and C++.