Inside Sales 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

• The ERP Implementation Professional will work closely with ERP team members as well as end

users to provide functional support and training of business processes enabled by Manufacturing ERP in the respective modules.

• ERP Implementation, for the modules like Finance, Production, Stores, Sales, Inventory Control.

• Provide ERP support by resolving customer queries via phone, email, remotely or at client-side

location.

• Responsible to communicate with Customer ERP core team, implementation team, Technical

consultant and his Manager.

• To Maintain Flowcharts, SOP's and prepare user manuals and provide end user training

• To configure, deploy and manage the ERP system and the backend database system

• Extensively travel to client end for software implementation and training purpose.

Responsibilities:

• Translate designs and wireframes into high-quality code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.

Requirements:

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• Familiarity with RESTful APIs to connect Android applications to back-end services. 
• Strong knowledge of Android UI design principles, patterns, and best practices
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Understanding of Google's Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration & Application Bundle Kotlin, Java
• Key requirements: Android SDK, Android UI, Core Java, Gradle, Kotlin.

Responsibilities and Duties 

•      Develop high-quality software design and architecture.

•      Achieve the timeline with quality delivery of assigned tasks.

•      Able to do technical analysis and code review.

•      Able to troubleshoot internal & production bugs.

•      Coordinate and support to project co-ordinator/project manager.

•      Development coding standards are achieved. 

•      Work with internal teams to understand and analyse their needs and to ensure that proposed solution caters to same.

•      Adopt new technology in quick time.

•      Implement Unit tests and Functional tests to ascertain highest quality of deliverables.

•      Identify, prioritize and execute tasks in the software development life cycle.

•      Understand business needs and know how to implement needs in the system to meet business needs.

•      Able to create technical documents.

•      Able to lead team members and plan team’s task.

•      Design, develop, modify, implement, and support software components anywhere in the software stack.

•      Work in close partnership with cross-functional teams and management.

Qualifications

•      Having knowledge of .NET C#, .NET Core, Angular JS, Web API, Micro Services, JavaScript, jQuery and Bootstrap.

•      Critical thinker and creative mindset and the ability to approach a problem creatively.

•      Ability to provide in-depth evaluation and analysis of unique complex technological issues. •      A meticulous approach to work.

•      A team player but can work independently too.

•      Excellent written and verbal communication skills.

•      Multi-tasking and time-management skills, with the ability to prioritize tasks.

•      Database knowledge spanning across SQL, PL/SQL, MSSQL Server, Performance tuning and RDBMS is preferred.

•      Proven track record of successful and timely project delivery.

•      Excellent written and verbal communication skills.

•      Demonstrated ability to lead others. 

Key Skills: Responsible for creating successful campaigns, responsible for generating the ROI to the company, should have great knowledge of how ads work, knowledge on landing pages. 

About Company:  Workhours is India's 1st Ed-Tech Company Focusing on Self-Employment. We want to change the way people think about their careers from how to get a job to how to become self-employed. Example of how digital payments changed the behaviour of a person paying from cash to paying using digital apps. 

Job Description: we are looking for a skilled google ads executive who is excellent at creating successful campaigns, should be responsible for Generating the ROI of the company, and should have a piece of great knowledge of how ads work and having a great knowledge on landing pages. 

Roles and Responsibilities:

• Responsible for creating Successful Campaigns.
• Responsible for generating the ROI to the company. 
• Should have a piece of great knowledge of how ads work. 
• Great knowledge on landing pages. 
• Must know how google ads work (Algorithm) 

mandatory Skills:

•  Excellent communication skills
• Work report Submissions
•  Team Player
•  Able to Handle Multitasking 
•  Should be Good at Training (Very Very Important) 
•  Good at Planning Strategies.

Responsibilities

Write effective, scalable code

Develop back-end components to improve responsiveness and overall performance

Integrate user-facing elements into applications

Test and debug programs

Improve functionality of existing systems

Implement security and data protection solutions

Assess and prioritize feature requests

Coordinate with internal teams to understand user requirements and provide technical solutions

Requirements

Work experience as a Python Developer

Expertise in at least one popular Python framework (experience in Flask preferred)

Knowledge of object-relational mapping (ORM)

Familiarity with front-end technologies (like JavaScript and HTML5)

Team spirit

Good problem-solving skills

BSc in Computer Science, Engineering or relevant field

Due to a promotion in our team, we are hiring another business development manager to take over a mix of existing accounts and new sales territory. To excel in this role you should be an active listener, have a compelling sales personality, and a hunger to chase and close new business from cold calls and inbound warm leads.

• Contacting potential clients to establish rapport and arrange meetings.
• Planning and overseeing new marketing initiatives.
• Researching organizations and individuals to find new opportunities.
• Increasing the value of current customers while attracting new ones.
• Finding and developing new markets and improving sales.
• Attending conferences, meetings, and industry events.
• Developing quotes and proposals for clients.
• Developing goals for the development team and business growth and ensuring they are met.
• Training personnel and helping team members develop their skills.

• Bachelor’s degree in business, marketing or related field.
• Experience in sales, marketing or related field.
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organizational skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Proficient in Word, Excel, Outlook, and PowerPoint.
• Comfortable using a computer for various tasks.