Sales Manager - Horeca- Kitchen Appliances

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 the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Form link for quicker response: https://forms.gle/wMwDjBVREW3w1kU46

Job Description

Education Qualification: Bachelor's degree in HR, business administration, or another related field

Experience: 4-6 years

Location:  Pan India with potential requirement to travel to the middle east

Employment Type:  contract for 6-12 months (Hybrid)

Responsibilities:

HR :

1. Recruitment & Onboarding: Manage the hiring process, including posting jobs, screening candidates, conducting interviews, and onboarding new employees.
2. Employee Relations: Address employee concerns, resolve conflicts, and promote a positive work environment.
3. Training & Development: Organize training programs to enhance employee skills and ensure compliance with industry regulations.
4. Performance Management: Implement performance appraisal systems, set employee goals, and provide feedback.
5. HR Policies: Develop and enforce company policies related to working conditions, employee benefits, and code of conduct.

Payroll : 

1. Salary Processing: Calculate and process employee salaries, including deductions, bonuses, and allowances, ensuring timely payment.
2. Compliance: Ensure payroll practices comply with local labor laws and tax regulations.
3. Record Maintenance: Maintain accurate payroll records, including timesheets, leave balances, and employee benefits.
4. Tax & Social Security: Deduct and submit employee taxes and social security contributions as required by law.

Position: Call Quality Analyst

Key Responsibilities:

1. Conduct call audits: Listen to recorded or live customer service calls to evaluate the quality of interactions, ensuring adherence to company standards.

2. Quality assessment and control: Evaluate call agents' performance based on established metrics, including communication skills, product knowledge, adherence to scripts, and compliance with company policies.

3. Provide feedback: Deliver constructive and actionable feedback to call agents based on audit results to help them improve their performance and enhance customer satisfaction.

4. Reporting: Prepare detailed reports summarizing audit findings, trends, and areas for improvement. Provide regular reports to the management team.

5. Process improvement: Work with cross-functional teams to identify process improvements that can enhance the overall quality of customer interactions.

6. Compliance: Ensure that all customer service activities comply with legal and regulatory requirements.

7. Customer feedback: Incorporate customer feedback into quality assessment processes

Qualifications:

• Bachelor's degree in a relevant field or equivalent work experience.

• Proven experience in quality analysis and call auditing, preferably in a customer service environment.

• Excellent communication skills, both written and verbal.

• Knowledge of relevant industry regulations and compliance standards.

• Proficiency with Microsoft Office suite (Word, Excel, PowerPoint).

call QA for Pune

language- gujarati, tamil, telugu,malayalam, Punjabi, kannada (any)

Experience- 6months- 2yrs (BPO Voice also considerable)

Salary- 25k ctc location: Vimaan Nagar

call QA for Banglore/Jaipur

language- Hindi andEnglish (both)

Experience- 6months- 2yrs (BPO Voice also considerable)

Salary- 22k ctc LOCATION: HSR layout

➢ Manage initial discovery calls with customers leads

➢ Understands Customer’s Business and keeping empathetic approach towards customers

➢ Building Trust and Transparency with Customers

➢ Go-getter attitude to close the lead

➢ Creating and delivering impressive presentation/demo to the customer

➢ Managing follow-up activities to ensure customer engagement

➢ Negotiating contracts

➢ Working on guidelines by senior level peer

➢ Gaining know-how expertise in the ERP Business Applications

➢ Preparing RFP/RFI as per the customers’ need

➢ Continuous efforts to achieve sales quotas

➢ Self upgradation through industry study and research

ROLE AND RESPONSIBILITIES

Should be able to work as an individual contributor and maintain good relationship with stakeholders. Should

be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and

transform data into insights that drive business value, through use of data analytics, data visualization and data

modeling techniques.

QUALIFICATIONS AND EDUCATION REQUIREMENTS

Technical Bachelor’s Degree.

Non-Technical Degree holders should have 1+ years of relevant experience.

• You will be building and shipping robust apps to Android/ iOS devices using a single codebase.
• You will be writing readable and clear code using Dart that will be extensively documented for future use and upgrades.
• You will be sharing feedback and brainstorming ideas with teams to improve the development process.
• Understand basic concepts of design for developing user friendly applications.
• Stay up to date with the latest technologies.

• Experience in development of Android/iOS applications and have deployed them on Google Play/App Store.
• 1+ years knowledge in mobile app development.
• In depth understanding of front end languages like HTML, CSS3 and JavaScript.
• In depth understanding of Object Oriented programming languages like Java and C++.
• Familiarity using version control tools like Git, Subversion etc. and IDEs like Android Studio, VS Code etc.
• Understanding of the Agile Software Development Life Cycle and been exposed to Scrum projects.
• Knowledge of Dart programming language, Rest APIs and integration of various APIs from third parties.
• Comfortable using test cases for debugging code, enhancing performance and reliability.

• Ability to handle and build integration of mobile apps with third-party systems,
• developing Android and iOS apps
• using Flutter, Dart, Rest APIs, Angular, jQuery, Ionic

• 5 days working
• Flexible Office Hours
• Health Insurance

Experience: 3-5 Years 1 candidate & 1-3 Years 2 candidate

Skills:      

Core JAVA(Native), Core Kotlin, Sqlite, MySQL, XML

Location : Ahmedabad 
WORK FROM OFFICE ONLY 

• Contributing to design and planning of Physical infrastructure
• Performing installation of applications.
• Providing Application Operations
• Performing day-to-day Application administrations tasks
• Providing support for the transition of applications in operations
• Performing monitoring of the IT infrastructure services /application
• Contributing to onboarding of Supported Applications onto Monitoring Platform · Performing batch management & scheduling
• Operations of Application Platforms and applications
• Provision of a Provider System Responsible as a Point of contact for the Application Owner for all Operational topics.
• Operations Management
• Continuity Critical Applications across Production Lines
• Detailed project planning by participating in System Design of Applications
• Consulting for Technical Architecture on application design for the operating environment and plant ecosystem
• Design security concepts, monitoring checks, interfacing requirements, etc.
• Proposals in Definition & Provision of Tools, Performance Management, Application Robustness, Alerting, and Configuration · Perform application tests with business partners or application owners
• Providing Application Operations, Change Management, Problem Management
• Providing support for the transition of applications in operations

Roles and Responsibilities
Responsibilities
1. Learning about our products and implementing minor features using PHP .
2. Ability to answer customer queries and provide them with satisfactory answers.
3. Do extensive QnA with customers to clarify issues.
4. Coordinate with senior engineers to have resolved bugs/issues fixed.
5. Take end to end responsibility to closing support tickets
6. Generating new ideas, insights, products improvements and documenting them.
7. After due experience start shipping new features
8. Maintain jovial relationship with clients

Requirement
PHP Experience: Must Have
Excellent Communication Skills.

Note:
Candidates having gap in their career with strong PHP experience can apply for this position.Graduate

Location-Jankpuri (Delhi)

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature