Trade Marketing Manager

We're hiring a GTM Engineer to sit at the intersection of engineering and go-to-market. You'll build the internal tooling and automations that power our growth — outbound systems, lead-gen and enrichment pipelines, CRM integrations, AI agents — and run rapid growth/GTM experiments end to end (funnel/CRO tests, growth loops, activation and retention). Engineering is the baseline: you write real code (Python/JS, APIs) and ship tools yourself. What sets you apart is proven, hands-on growth experimentation with measurable outcomes. Must-haves: genuine coding ability (ships tools/automations in real code); demonstrated ownership of growth/GTM experiments with results; 2–4 yrs experience. Nice to have: early-stage B2B SaaS background; AI agent / LLM tooling experience.

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

We are a small team of closely knit engineers who were able to build a product that helped us to scale until this point. The company’s growth from here is based on the strategy of focusing on  enterprise customers and making products ready for them.

Laundry industry has critical workflows and complex integrations with hardware and machines, and the new developers need to be more confident and fearless about making changes in the system. This will help to deliver products faster to the customers while building more robust products. 

We are looking for an experienced QA Test Automation Engineer to be part of our team. Your understanding of functional testing, writing maintainable tests, written and verbal communication skills will be put to the test.

• Estimate, prioritize, plan, and execute manual testing activities.
• Manage release from the QA perspective and keep the affected parties informed.
• Identify quality assurance process bottlenecks and suggest actions for improvements.
• Preparing test cases for unit, integration and end-end testing.
• Plan and manage automation testing strategy for QDC.

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required: 

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large-scale social or location-based app.

EmReach is one of the leading companies in Critical Event Management and Mass Notification solutions. We are hiring a talented QA Testing Analyst professional to join our team. If you're excited to be part of a winning team, EmReach is a great place to grow your career.

This is a Test Analyst role for System, System Integration or End-to-End testing for projects that require changes to one or several systems.

• Participate in project Test requirement analysis
• Under minimal supervision, creates Test ware –scenarios, cases, data, automated test scripts, assist in estimates creation.
• Executes Tests and collates evidence
• Defect reporting and tracking.
• Demonstrate implementation of process, strategy and/or testing improvement/efficiencies.

• Functional & Technical expertise role in developing & identifying tools that will optimise and improve the quality of testing
• Assist to impact analysis, test estimations, test planning for project
• Create test scripts (manual/automated) & test data based on test model (test scope) defined by test architect
• Understand the Functional requirements, Systems Architecture, Test Environments landscape and share your understanding within the team
• Set up and Execute tests using both automation tools and manual methods as applicable aligning to overall test strategy defined.
• Should have knowledge on Automation with at least one automation framework
• Raise defects, provide sufficient details and logs readily for further analysis and work with development teams to close the defects with appropriate root cause analysis documented.
• Use Test Automation tools as per Automation Approach defined by the Programme/Portfolio leads, come up with own ideas to innovate and automate all testing activities applicable to support the Automation and Continuous Improvement journey.
• Escalate any issues to Test Manager/Portfolio Test Lead as appropriate and in timely manner and provide options to resolve the issues

Mumbai

• Graduate with software engineering background
• Hands on Experience in Agile methodology.
• 2-4 years of experience in software testing.
• Domain/Testing/Technical certification will be an advantage

• Understanding of Cloud Technologies like Aws, Azure would be an added advantage
• Knowledge on micro services would be an added advantage.
• Knowledge on DEVOPS tools and process would be an added advantage.
• Should be able to handle work assigned/issues with minimal supervision.

What you will do:

• Build cross-browser compatible front-end applications using ReactJS, JavaScript, HTML and CSS.
• Develop fast and highly scalable and responsive applications.
• Work closely with cross-functional teams of product manager, backend developers, and UI/UX designers.
• Partner with product teams to ensure user interactions & features are well-designed and implemented.
• Manage individual project priorities, deadlines and deliverables.

Skills And Qualifications:

• 4+ years of work experience in frontend web development.
• Strong understanding of Core Javascript, ReactJS, React Native (desired), semantic HTML5 CSS, Flexbox and responsive development.
• Thorough understanding of Javascript design patterns
• Proficient understanding of web markup, including HTML5 CSS3
• Understanding of server-side CSS pre-processing platforms, such as LESS and SASS
• Proficient understanding of advanced JavaScript libraries and frameworks, such as ReactJS, AngularJS
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Preferably from a SaaS and web applications platforms background, and/or B2B applications.
• Proficient understanding of cross-browser compatibility issues and ways to work around them
• Proficient understanding of code versioning tools, such as Git
• Experience in building APIs / application backends using Node.js (good to have)

Understanding of UI / UX best practices and ability to collaborate with the Design team to implement functional and intuitive user experiences