
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

About Impacto Digifin Technologies
About
Impacto Digifin Technologies empowers businesses to embrace digital transformation with intelligent, AI-driven solutions. Our platforms simplify document management, data verification, and compliance processes, reducing manual effort, enhancing accuracy, and accelerating results. From fast-growing fintechs to established enterprises, our solutions are designed to adapt to unique operational needs, whether it’s streamlining customer onboarding, automating back-office workflows, or eliminating paperwork bottlenecks.
What sets Impacto Digifin apart is our hybrid approach—leveraging automation for speed while maintaining human oversight where it matters most. This ensures efficiency without compromising trust, enabling organizations to operate with clarity and control. More than just a technology provider, we act as a digital partner, helping teams scale smarter, optimize processes, and transform their operations with confidence.
Candid answers by the company
Impacto Digifin Technologies provides AI-powered solutions that streamline document management, data verification, and compliance for businesses.
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Company Overview
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Backed by a $40 million Series A funding from leading Korean & US VCs, Redrob is building the next frontier in global outbound sales. We’re not just another database—we’re a platform designed to eliminate the chaos of traditional prospecting. In a world where sales leaders chase meetings and deals through outdated CRMs, fragmented tools, and costly lead-gen platforms, Redrob provides a unified solution that brings everything under one roof.
Inspired by the breakthroughs of Salesforce, LinkedIn, and HubSpot, we’re creating a future where anyone, not just enterprise giants, can access real-time, high-quality data on 700 M+ decision-makers, all in just a few clicks.
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EXPERIENCE
Duties you'll be entrusted with:
- Develop and execute scalable APIs and applications using the Node.js or Nest.js framework
- Writing efficient, reusable, testable, and scalable code.
- Understanding, analyzing, and implementing – Business needs, feature modification requests, and conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of applications and enhancing the functionalities of current software systems.
- Keeping abreast with the latest technology and trends.
Expectations from you:
Basic Requirements
- Minimum qualification: Bachelor’s degree or more in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- Experience with Cloud platforms (AWS, Azure, GCP).
- Strong understanding of monitoring, logging, and observability practices.
- Experience with event-driven architectures (e.g., Kafka, RabbitMQ).
- Expertise in designing, implementing, and optimizing Elasticsearch.
- Work with modern tools including Jira, Slack, GitHub, Google Docs, etc.
- Expertise in Event driven architecture.
- Experience in Integrating Generative AI APIs.
- Working experience in high user concurrency.
- Experience in scaled databases for handling millions of records - indexing, retrieval, etc.,
Technical Skills
- Demonstrable experience in web application development with expertise in Node.js or Nest.js.
- Knowledge of database technologies and agile development methodologies.
- Experience working with databases, such as MySQL or MongoDB.
- Familiarity with web development frameworks, such as Express.js.
- Understanding of microservices architecture and DevOps principles.
- Well-versed with AWS and serverless architecture.
Soft Skills
- A quick and critical thinker with the ability to come up with a number of ideas about a topic and bring fresh and innovative ideas to the table to enhance the visual impact of our content.
- Potential to apply innovative and exciting ideas, concepts, and technologies.
- Stay up-to-date with the latest design trends, animation techniques, and software advancements.
- Multi-tasking and time-management skills, with the ability to prioritize tasks.
THRIVE
Some of the extensive benefits of being part of our team:
- We offer skill enhancement and educational reimbursement opportunities to help you further develop your expertise.
- The Member Reward Program provides an opportunity for you to earn up to INR 85,000 as an annual Performance Bonus.
- The McKinley Cares Program has a wide range of benefits:
- The wellness program covers sessions for mental wellness, and fitness and offers health insurance.
- In-house benefits have a referral bonus window and sponsored social functions.
- An Expanded Leave Basket including paid Maternity and Paternity Leaves and rejuvenation Leaves apart from the regular 20 leaves per annum.
- Our Family Support benefits not only include maternity and paternity leaves but also extend to provide childcare benefits.
- In addition to the retention bonus, our McKinley Retention Benefits program also includes a Leave Travel Allowance program.
- We also offer an exclusive McKinley Loan Program designed to assist our employees during challenging times and alleviate financial burdens.
Must have :
- Strong Experience in Python development
- Familiarity with Data Structures and Algorithms
- Experience in developing Enterprise scale applications
- Exposure to NLP
- Exposure / awareness of AI, ML
- Exposure to Windows Azure is an added advantage
- God understanding of project architecture and software development processes such as Agile and Scrum
Responsibilities :
- Partner with Business Stakeholders to translate business objectives into clearly defined analytical Projects
- Own the end-end process, from recognizing the problem to implementing the solution
- Understand customer’s requirements and design the optimum solution using Icertis’ AI applications
- Configure, Extend, and optimize Icertis AI app through Python scripts, NLP NER Analysis and other mechanisms
- Take full ownership of project / product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
- Plan and identify solutions and risks in assigned work
- You are expected to be hands on and write code on day to day basis and also mentor other team members
6-8 yrs experience
Fully Remote position
Max compensation - 45 LPA per annum (Full in hand)
Key Responsibilities
- Design, implement and maintain software to the demanding standards of a real time, highly concurrent distributed system.
- Working in conjunction with the rest of the development team, you will architect and build highly performant, scalable and extensible external APIs
- Collaborate with customers and internal stakeholders, at all levels, to continuously improve our product in a measured data-driven approach
- Learn quickly, adapt, and invent based on changing company needs and priorities
- Contribute to code reviews, tech talks, innovation drives and patents
Minimum Qualifications
- Excellent problem solving skills
- Bachelors in a computer science or other equivalent field
- Proficiency in deploying production systems using a major programming language like Java, Python, NodeJS or similar
- Excellent command over object oriented design and system design
- Experience building distributed systems and scaling them with high availability
- Ability to exercise autonomy rather than needing detailed direction and proactively get things done
Preferred Qualifications
- Experience in customer facing software development
- Proficiency building unit and performance tests to ensure reliability and scalability
- Experience in Artificial Intelligence, Machine Learning (ML) models, Natural Language Processing or Deep Learning is a plus
- Experience with cloud infrastructure such as AWS, GCP is a plus
Why work with us
- A small collaborative and excited team
- We value autonomy, allowing you to choose the configuration that makes you most productive
- Able to work remotely anywhere in Indian Standard Time
- Continuous learning and up-skill opportunities
- We love ideas, innovation and experiments!
- Competitive salary
Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Responsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.
1. Ability to read the documentation and perform 3rd party API integrations
2. Experience with Postgres and Redis
3. Experience with AWS - EC2, RDS, DynamoDB, etc
4. Experience with Python
Dashboard
Skills
1. Experience with Django
a. Django Web
b. Django REST
c. Django Channels
d. Django Celery (Queues and Brokers)
2. Experience creating a dashboard with login, user profiles, roles and permissions, reports
3. Experience with Facebook and Twitter OAuth
4. Experience with handling database migrations
Chatbot
Skills
1. Basic understanding of NLP - intents and entities
2. Strong understanding of dialogue management and conversation flow
3. Integrations with Facebook and Twitter APIs.
4. Creating and managing Facebook and Twitter apps
5. Understanding of webhooks and REST APIs.









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