Lead Customer success manager

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

Job Summary 

We are looking for a Salesforce Developer with 2.5 to 3.5 years of hands-on experience in Salesforce configuration and development. The role requires strong knowledge of Apex, Lightning Web Components (LWC), Flows, Security Model, and Governor Limit best practices. The candidate should be capable of building scalable, secure, and maintainable Salesforce solutions. 

 Key Responsibilities 

• Develop and enhance Salesforce applications using Apex Classes, Triggers, LWC, Aura, and Flows. 
• Implement OWD, Role Hierarchy, Profiles, Permission Sets and ensure data security. 
• Work with Lifecycle Hooks & Decorators (@api, @track, @wire) in LWC. 
• Implement Exception Handling, Wrapper Classes, Collections, Bulkify Triggers, and Async Apex (Future, Queueable, Batch, Schedulable). 
• Utilize Governor Limit best practices in development. 
• Build Reusable LWCs and manage communication between components (Parent-Child / PubSub / LMS). 
• Consume Apex using LDS (Lightning Data Service) and wired methods & imperative calls. 
• Document technical solutions and provide production support when required. 

 Required Technical Skills 

Skill Area 

Required Expertise 

Salesforce Security Model 

OWD, Roles, Profiles, Permission Sets 

Apex Programming 

Triggers, Classes, Collections, Wrapper Class 

Error & Exception Handling 

Try-Catch, Custom Exceptions 

Flows 

Record-Triggered, Screen, Subflows 

Async Apex 

Future, Queueable, Batch Apex 

Governor Limits 

SOQL/DML optimization, bulkification 

LWC Development 

Lifecycle Hooks, Decorators, LDS 

ComponentCommunication 

@api, LMS, Pub/Sub, Parent-Child 

Apex Calling 

Imperative Apex, Wired Apex, LDS 

Deployment Tools 

Change Sets, ANT, VS Code, Git 

 Good to Have 

• Experience in Salesforce Integration (REST/SOAP APIs) 
• Experience with SLDS & UI styling 

As a Security Researcher in SaaS security posture management, your primary responsibility will be to conduct research on emerging security threats and vulnerabilities in SaaS environments and to develop and implement strategies to mitigate those risks. Specifically, your job duties will include: Conducting in-depth research on emerging security threats and vulnerabilities in SaaS environments.

• Analyzing data and security logs to identify potential threats and take proactive measures to prevent them.
• Developing and implementing security policies and procedures to protect against security threats in SaaS environments.
• Collaborating with other members of the IT team to implement security measures and ensure compliance with industry standards and regulations.
• Keeping up-to-date with the latest security technologies and trends in SaaS security posture management.
• Communicating findings and recommendations to management and other stakeholders.
• Participating in incident response and resolution activities in the event of a security breach in SaaS environments.
• To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Information Security, or a related field, and have experience in researching emerging security threats and vulnerabilities in SaaS environments. You should also have strong analytical and problem-solving skills, and hold industry certifications such as CISSP, CEH, or OSCP. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams.

More than 3 years of experience with C# and .Net development, .net 4.5, Asp.Net MVC, Angular. .net Core.  

Must have strong knowledge of Object-Oriented Programming (OOP)

Must have work experience with Angular, React

Working experience on Webservices, WebAPI, and REST are most preferred

Must have basic knowledge of SQL Server database with SQL query designing, procedure, functions, indexing, and triggers designing.

Strong analytical skills and problem-solving aptitude(Desirable)

Knowledge on HTML, HTML5, CSS, BootStrap, XML, JavaScript, JQuery is most preferred

Experience in working with source code repositories like TFS, GIT, Azure, etc

Experience in code release, merge, and conflict resolution

Experience in web publishing with IIS and Azure web Applications.

Bigdata with cloud:

Experience : 5-10 years

Location : Hyderabad/Chennai

Notice period : 15-20 days Max

1.  Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight

2.  Experience in developing lambda functions with AWS Lambda

3.  Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark

4.  Should be able to code in Python and Scala.

5.  Snowflake experience will be a plus

• Looking for 1+ years of experience working in product companies, especially video interviewing.
• Very good communication, Preferably a female, in Bangalore.
• Someone who is proactive and comfortable to give presentations, demo, meet clients when needed.
• Someone who is good with technology.
• Someone who has experience in recruitng & staffing industry. any recruitmnt product sales.

• Execute and manage the company’s brand strategy as well as corresponding brand elements in order to maximize the brand’s equity
• Responsible for the creation and placement of advertising that is in support of the business’s initiatives through media planning, creative development, metrics, market research, and vendor management.
• Drive programs and projects across the various customer touch points to drive customer consideration and trust for our products
• Execute aggressive multi-channel marketing plans to drive customer acquisition and retention
• Take ownership of the brands voice by defining guidelines and best practices across products and platforms
• Work with digital teams to create digital first assets that can help drive acquisition & engagement
• Establish metrics for the purpose of measuring campaign effectiveness against KPI’s.
• The role will report to the Head of Brand marketing

Key skills

• Customer Centricity
• Innovative and creative thought process
• Analytical
• Exposure to Brand Communication and Media Planning
• Prior experience in an internet/digital company, or managing digital first brands is preferred

Industry we can Look at: FMCG/ Consumer Durable/Retail or any B2C

Based Location: Bangalore (work from Office)

Mandatory Skills

• Hands on experience with the programming language Java. (Mandatory)
• 3+ years of experience in leading a team, with professional automation testing experience using Java and Selenium.
• 5+ years of experience in automation testing and test framework development using Java and Selenium. (POM, Cucumber BDD, Hybrid etc.)
• Automation Tool: Selenium (Mandatory)
• Execution of scripts in Batch and Grid 
• Setup test automation pipelines in CI/CD tools like Jenkins, AWS, and Azure DevOps etc.
• Flexibility to learn new programming languages, tools & frameworks.

Other Pre-Requisites

• Shall work as an individual contributor on a need basis.
• Should contribute to defining testing best practices for the teams & projects. Responsible for defining and implementing the test strategy and test automation solutions around functional and regression testing.
• Defining, monitoring, and evaluating individual goals/KRA’s for the team members.
• Responsible for project initiation, project planning, effort estimations, hiring and team building for new projects.
• Experience with Test Management tools like Atlassian JIRA, TestRail, ALM or similar tools.
• Passion for achieving excellence in technical, process, product quality and reliability.
• Strong in troubleshooting and root cause analysis abilities
• Must be extremely detail, technology oriented and possess excellent communications skills.
• Proactive, driven individual with a strong work ethics

Secondary Skills:

• BDD Cucumber will be an added advantage
• Parallel execution and integration to cloud platforms like BrowserStack, Perfecto, Saucelabs.
• API Testing: ReadyAPI, SoapUI, Postman, Rest-Assured or similar
• SQL queries: good hands-on on SQL queries and experience in testing Databases & Batch Jobs
• Mobile testing experience is an added advantage
• Experience on load testing/performance testing.
• Experience using issue and project tracking software
• Experience working in an agile structure
• Experience in developing POC’s and participating in pre-sales activities