Staff Engineer - Computer Vision and Machine Learning

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

Core Competency:

• Extensiveexperiencewith C#and ASP.net/.NETCore 2.0 / .NET WebAPI coreframework framework • concepts and fundamentals/ MVC and EF. • REST Web services&API Experience • Strong architectural knowledge with two or more of - MicroServices, 12 FactorApplications and • EventDriven architectures • Messaging knowledge(Topics,Queues&PublishSubscribe) • Knowledge of AWS, Docker and Kubernetes • Experience with databasedevelopmentincluding relational databasedesign,SQL, andORM • Agile Delivery experience • Deploying .Net Core web application/api inWindows and Linux • Experience withweb developmenttechnologiesincludingASP.NET, MVC3, EF, HTML,JavaScript, • JQuery, AJAX and CSS,LINQ. • Experience with core Microsoft.Nettechnologiesincluding:WCF, LINQ, and EF • Experience designing and developing enterprise gradesoftware • Experience with source controlmanagementsystems and deployment environment • Experience with debugging, performanceprofiling and optimization. • Comprehensiveunderstandingof object-orientedand service-oriented applicationdevelopment,techniquesand theories • Internallymotivated, able towork proficientlyboth independently and in a teamenvironment • Strong communication skills with both internal team members and external businessstakeholders • Experience with userinterfacedesign and prototyping

About the Role

In this role, you'll work on design, implementation, and test for Dremio's system internals. If you want to be part of a fast-moving, fun, and accomplished team, we'd love to hear from you.

Responsibilities & ownership

• Own design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Capable of working Individually and collaboratively with other engineers.
• Collaborate with support and field resources to make sure that customers are successful with Dremio

Requirements

• Fluency in Java and/or C++ with 3 to 5+ years of experience developing production level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous patterns and their applications towards developing scalable systems
• Experience developing scalable distributed systems and deploying, scaling, and managing microservices
• Experience with  containers and kubernetes for orchestration and container management in private and public clouds (AWS, Azure, Google Cloud) a plus
• Excellent communication skills and affinity for collaboration and teamwork
• Interested in and motivated to be  part of a fast-moving startup with a fun and accomplished team
• Startup experience a plus
• B.S. or M.S in Computer Science or a related technical field or equivalent practical experience