Business Development Executive

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

Responsibilities

• Design and develop REST-based web services utilizing Java micro services web frameworks (Spring Boot)
• Apply design principles and patterns in creating enterprise level solutions, as needed
• Perform web services tuning and performance testing
• Implement unit tests as needed
• Support front-end developers in leveraging web services
• Automate/script common developer tasks, continually optimize personal and team workflows
• Infrastructure setup and configuration
• Engage in code review and feedback process
• Take a feature from inception to completion independently across the stack
• Collaborate with teammates on proposed UX/UI and provide feedback as needed
• Participate in and support the entire SDLC processes

Requirements

• Spring Boot, Spring Security, Spring JPA & Hibernate
• Relational data modelling concepts and experience in PostgreSQL, MySQL, or similar
• Adopted opinionated RESTful web services design patterns
• Microservices-based application architecture
• Application containerization technologies, including Docker, Kubernetes, and cloud-vendor implementations (AWS, Azure, other)
• Other modern technologies relevant to the technology stack defined here
• Javascript ES6 or later
• React
• Git

 Job Summary:

Responsibilities and Duties

Technical Skills:

Qualification : 12^th completed, degree.

Job Types : Full-time, Fresher.

JOB DESCRIPTION:

 Build long-lasting client relationships and valuate customers needs.

 Meet personal and team sales targets.

 Attend meetings, sales events and trainings often.

 Report and provide feedback to management using financial statistical data.

 Manage your client database within your assigned area.

  More you work, more is your gain.

Hyderabad

Job Highlights

• 6-12 months of experience in Bench Sales is required
• Required Skills: Minimum of 6-12 months proven Bench sales (US Staffing) experience
• Experience working with US citizens, GC candidates,H1B,EAD and OPT preferred
• Knowledge of Corp-to-Corp,1099,W2 preferred
• 6-12 months of experience in Bench Sales is required.
• Marketing Bench Consultant (H1B,OPT,GC,US Citizen).
• Experience in marketing and the available Consultants.
• Regular interaction and identifying their needs and position them to projects accordingly.
• Proven successful sales record in the IT Staffing and Consulting Industry.

Required Skills: 

• Minimum of 6-12 months proven Bench sales (US Staffing) experience.
• Excellence experienced with full cycle of Sales, submitting the consultants, confirming the best rates for consultants.
• Following up for interview schedules, closing the best deals.
• Ability to interact, develop Vendor network and get candidates placed in quick turnaround time.
• Experience working with US citizens, GC candidates, H1B, EAD and OPT preferred.
• Gathering requirements for consultants from Vendors of clients, Job portals and other networking techniques.
• Submitting the candidates for the suitable positions and following up regarding the rates and client interviews.
• Updating and maintaining the database for future requirements, generate daily reports and update them.

We are looking for a creative UI/UX Designer with a good portfolio of personal or company-based projects either on Behance or Dribble to join our team!

As a UI-UX Designer, you will be responsible for delivering the best online user experience, which makes your role extremely important for our success and ensuring customer satisfaction and loyalty. 

You will be designing ideas using various methods and the latest technology. You will be designing graphic user interface elements, like menus, tabs, forms, and widgets. Your responsibilities would be -

1. Brainstorming feature ideas.

2. Wireframing/Prototyping using tools like Adobe XD / Photoshop.
3. Creating basic illustrations and icons using a tool like Illustrator.

4. Identifying opportunities / changing the interface to make user's lives easier.

5. Defining a good design process for future employees.

Apply if you like a startup culture and are willing to learn and adapt to changing needs.