Lead Data Engineer

Job Description

What will you do at MediBuddy? 

• Define the architecture to build modern, performant, efficient front-end systems and user-facing features that drive complex web applications.
• Collaborate with mobile application teams to define and implement a coherent, extensible front end architecture.
• Write clean, fast, compatible, easy-to-use, testable code to build modern web applications.
• Ensure the technical feasibility of UI/UX designs.
• Optimize applications for maximum speed and scalability. 
• Lead the definition of policies for building secure web applications, and ensure that security standards are adhered to.
• Collaborate with other team members and stakeholders to ensure team targets are met. Explore existing systems, and determine areas of complexity and potential risks to the successful implementation of advanced visualization products. 

What makes you a match for us?

• B.E/B.Tech or higher from top-ranked colleges.
• 5+ years of experience architecting and building modern, progressive, responsive web applications across desktop and mobile.
• Expertise in Javascript and Typescript, and frameworks such as NextJS, ReactJS, and VueJS. Ability to work on the server side of web applications as needed.
• Expertise in HTML, CSS, Bootstrap, Tailwind, and Other CSS Frameworks, and server-side CSS pre-processing platforms, such as LESS and SASS 3.
• Good understanding of, and experience working with web technologies such as Http,  REST and GraphQL APIs, asynchronous request handling, partial page updates, and advanced web performance. 
• Knowledge of, and experience with, SEO principles and best practices, accessibility, and internationalization, and ensuring that applications will adhere to them.
• Expert knowledge of web application vulnerabilities, how to protect against them, and ensuring adherence across all web applications.
• Obsession with web performance optimization, and expert knowledge of tools used to monitor and tune performance.
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers. Demonstrated ability to communicate with users, other technical teams, and senior management, to collect requirements, describe software product features, technical designs, and product strategy.
• Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience mentoring junior software engineers to improve their skills, and make them more effective, productive software engineers
• Able to learn large scale complex systems quickly.

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Key duties and responsibilities include

• Expert in configuring, managing, and customizing the Salesforce CPQ (Configure Price
• Quote), CLM (Contract Lifecycle Management) and Orders Lifecycle.
• Understand the Data Model related to Salesforce CPQ.
• In-depth knowledge in Product setup, Product Options, Product configuration & rules, Pricing, Discounting, and Quote templates in Salesforce CPQ.
• Experience in integrating Salesforce CPQ with external systems using connectors, SOAP/REST API.
• Individual contributor with comprehensive knowledge of the Salesforce platform, including technical and functional capabilities.
• Design and implement Quote to Cash solutions using Salesforce CPQ Optimization of solutions through an understanding of business needs and technology capabilities.
• Utilize best practices to perform operational support, enhancements, bug fixes as needed.
• Work closely with key stakeholders/project team to recommend and agree technical solutions to meet business requirements.

Skills and experience required

• Should have 4+ years of implementation experience on Salesforce Development.
• Should have min 2+ years of hands on experience of CPQ Development.
• Good Salesforce programming skills (Apex and Visualforce/LWC)
• Advanced knowledge of the Salesforce CRM platform and suite of Salesforce products.
• Ability to design and provide solutions using Salesforce.com out of box features and custom development tools.
• Extensive experience in all phases of SFDC process which involves requirement gathering, requirement analysis, design, development, implementation Integration & enhancement in Salesforce projects.
• Extensive knowledge of product configuration, complex pricing rules & sequence, quote configurator plugins & Salesforce CPQ APIs.
• Good understanding of Salesforce CPQ Price Waterfall methodology.
• Proficiency in various CPQ functionalities like amendments, renewals, and order management. Proven experience in solution design, effort estimation, and work breakdown for assigned tasks to support Agile practices.
• Effective verbal, and written communication skills.
• Good work ethic, passion for product quality, and attention to detail.

Qualifications

• Bachelors/Postgraduate degree, professional qualification, or relevant experience
• Salesforce CPQ certification is mandatory.

Develop and maintain a comprehensive product roadmap, prioritizing features and initiatives based on market analysis, customer feedback, and business goals.   

Conduct thorough market research and competitive analysis to identify opportunities and inform product strategy.   

Define and track key performance indicators (KPIs) to measure product success and identify areas for improvement.   

Write clear and concise product requirements documents (PRDs) and user stories.

Collaborate with engineering and design teams to ensure timely and high-quality product delivery.   

Communicate product vision and strategy to stakeholders at all levels of the organization.

Manage the product lifecycle from ideation to launch and beyond.

Lead and mentor junior product managers (if applicable).

Work with customer support and sales to gather and utilize customer feed back.

Use data driven decisions to improve product performance.

Required Skills and Experience:

Proficient in Java (Java 8 and above), with a strong understanding of object-oriented programming.

Knowledge in the trading domain, including familiarity with trading systems and protocols.

Strong skills in SQL and PL/SQL for database management and query optimization.

Hands-on experience with Linux and Windows operating systems for application deployment and maintenance.

Proficiency in scripting languages (e.g., Bash, PowerShell, or similar).

Knowledge of Python programming for auxiliary development and analytics tasks.

Familiarity with multithreading, concurrency, and low-latency application development.

Experience with CI/CD pipelines, version control systems (e.g., Git), and deployment workflows.

Key Responsibilities:

• Develop, maintain, and execute automated test scripts using tools such as Selenium, Appium, JUnit, TestNG, or similar.
• Design and implement testing frameworks and methodologies to improve test coverage and efficiency.
• Collaborate with cross-functional teams to understand requirements, define test strategies, and ensure high-quality deliverables.
• Identify, document, and track bugs using tools like JIRA, Bugzilla, or similar.
• Conduct performance and load testing to ensure system scalability and reliability.
• Perform code reviews and provide feedback to ensure adherence to best practices and coding standards.
• Participate in all aspects of the software development lifecycle, including requirements analysis, design, development, and testing.
• Continuously enhance skills and knowledge in automation testing tools and techniques.
• Mentor junior QA team members and provide guidance on best practices and automation strategies.
• Stay up-to-date with industry trends and emerging technologies in QA and automation.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in QA automation testing.
• Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
• Hands-on experience with automation tools such as Selenium, Appium, JUnit, TestNG, or similar.
• Strong understanding of software development methodologies, including Agile and Scrum.
• Experience with version control systems like Git or SVN.
• Familiarity with CI/CD tools like Jenkins, Bamboo, or similar.
• Solid understanding of web technologies (HTML, CSS, JavaScript) and web services (REST, SOAP).
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Skills:

• Experience with performance testing tools such as JMeter or LoadRunner.
• Knowledge of security testing practices and tools.
• Understanding of cloud environments like AWS, Azure, or Google Cloud Platform.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with mobile application testing (iOS/Android).

·        Managing large amounts of outbound calls in a timely manner.

·        Identify customers' needs, clarify information, research every issue, and provide solutions.

·        Seize opportunities to build comfort with customers and handhold them in Educating them about our product offerings and closing the sale of products.

·        Build sustainable relationships and engage customers by taking the extra mile.

·        Developing knowledge of customer needs and trends to improve customer satisfaction and loyalty.

·        Frequently attend training sessions to improve knowledge and performance level.

·        Meet personal/team qualitative and quantitative target

*Only Immediate Joiners


DESCRIPTION
We are looking for a great Frontend developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

RESPONSIBILITIES

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

REQUIREMENTS

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs and sockets
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools
• Experience with PWAs and React Native is a huge plus