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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

Roles and Responsibilities:

• Min 5 years of experience in designing and developing enterprise software applications including the experience in architecting and developing applications on the Android platform.
• Experience in Java, Kotlin and dependency injection for Android app development.
• Experience with Media, Telecom, FCM, Network, JSON, XML, Web Services and SQLite.
• Expertise in mobile and Java frameworks/accelerators.
• Knowledge of WebRTC, XMPP, DAO, Firebase, RESTAPIs, Crashlytics, and JetPack libraries.
• Advanced experience with Android Studio, Gradle, Git, and continuous integration.
• Strong knowledge of the Android mobile landscape, architectures, trends, and emerging technologies.
• Fully conversant with SOLID principles, software development frameworks, design patterns, and enterprise in mobile application integration
• Experience with XMPP and Smack libraries and with RxJava, Dagger2 is desirable

What will you do?

• Oversees testing, deployment & maintenance of the Voice infrastructure.
• Performing a variety of tasks associated with user provisioning and call routing within the assigned platform 
• Build loaders for internal systems ensuring tasks are completed accurately and in a timely manner
• Participate in meetings with clients and internal departments to understand the requirements of call routing
• Document and design call flow diagrams to ensure that all call variables have been accounted for in preparing a routing plan
• Support the clients solution by correcting any issues with call routing or provisioning during the initial implementation phase, constantly communicating status of any issues with client
• Complete testing to ensure that call flow is operating properly
• Monitors and ensures compliance to standards, policies, and procedures

What are we looking for?

• 0.6~2 year’s implementation experience in Asterisk PBX, IP Telephony, SIP.
• Able to thrive in a demanding and team-oriented environment
• Basic and strong knowledge of the Linux operating system.
• Knowledge of bash and perl shell scripting is an added advantage.
• RHCE Certification is an added advantage.

Requirements:

• Strong C/C++ programming and debugging skills in a Linux environment.
• Experience with Design Patterns, ACE Framework, and Socket Programming.
• Experience in Multi-threaded software development for Multicore Architectures.
• Experience in VOIP application development, preferably on client/server platforms.
• Understanding of system performance and scaling.
• Experience in embedded software development.
• Excellent problem solving/debugging skills design, develop, troubleshoot and debug.
• Software programs for databases, applications, tools, networks etc.

Hi,

Greetings from IP Momentum!!!

We are currently hiring Sales Head/ Business Development Head for our tele communication entity IP Momentum.

The primary purpose of the VOIP Sales Head is to head the team, and drive the sales by proactively prospect and sell VoIP services to potential customers.

Present VoIP services through on site meetings with decision makers. Close sales opportunities.

Process orders accurately and efficiently, ensuring that all company standards and departmental expectations are met Utilize, maintain and continuously improve various sales and communication techniques

Expert in VoIP products; services; prices; promotions; and technical skills Thrive in a self- directed environment Excellent prospector for new business

Qualifications

Only professionals with experience in VOIP Sales targeting Call Centers and Corporate and Enterprises will be processed Able to verbally communicate clearly, persuasively and professionally in order to achieve the desired/expected sales and customer satisfaction goals Able to professionally and concisely communicate and write in English Candidate must possess knowledge, skills and experience in telephone sales

About us -

https://www.ipmomentum.com/