Sales Manager

Hands-on experience with Microsoft Azure core services including Virtual Machines, storage, networking, and identity management

Strong expertise in Azure RDS / Azure Virtual Desktop (AVD) deployment, configuration, and performance tuning

Solid systems engineering background with Windows Server administration, Active Directory, GPO, DNS, and basic Linux management

Proficiency in automation and scripting, primarily using PowerShell, with working knowledge of Azure CLI and Infrastructure as Code (ARM/Bicep/Terraform)

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

Key Responsibilities:

• Keyword Research: Conduct thorough keyword research using SEO tools like Google Keyword Planner, SEMrush, and Ahrefs to identify target keywords for optimization.
• On-Page Optimization: Assist in optimizing web pages for SEO, including improving title tags, meta descriptions, headers, and internal linking.
• Content Optimization: Collaborate with the content team to optimize website content, blog posts, and landing pages to ensure they are search-engine friendly.
• Technical SEO Support: Assist in monitoring site performance and troubleshooting SEO-related issues like page speed, mobile-friendliness, and site architecture.
• SEO Audits: Conduct basic SEO audits and analyze websites for performance improvements, including broken links, duplicate content, and other technical factors.
• Competitor Analysis: Analyze competitor websites and their SEO strategies to uncover new opportunities for improvement.
• Link Building: Assist in identifying and reaching out for potential backlink opportunities to increase website authority.
• Reporting: Track SEO performance using Google Analytics, Google Search Console, and other tools to generate insights and monthly reports.
• Stay Updated: Keep up with the latest SEO trends, algorithm updates, and industry best practices to ensure our strategies are always up to date.

Required Skills and Experience:

• 5 - 11 years of experience in front-end development, with a strong focus on React.js.
• Proven experience with React.js and related technologies (e.g., Redux, React Router, Hooks, Context API).
• Strong proficiency in JavaScript, HTML5, CSS3, and modern front-end build tools (e.g., Webpack, Babel, etc.).
• Hands-on experience with RESTful APIs, Server Sent Events, WebSocket's
• Hand’s on experience with web components, micro frontends
• Deep understanding of browser apis like history, intersection observer, event handling, virtual panes, drag and drop etc
• Ability to work on a complex and fast moving code base.
• Familiarity with TypeScript and its integration with React applications.
• Strong problem-solving skills and attention to detail.

Experience: Mobile testing (both Android & iOS).

Technical Skills:

Strong in debugging.

Well-versed with API level validation from logs.

Familiar with database-level validation and queries.

Experience in backend testing and understanding of service interactions.

Testing Coverage:

Capable of designing end-to-end test cases.

Strong in negative, edge-case, and performance scenarios coverage.

Process Knowledge:

Familiar with Agile ceremonies (Grooming, Sprint Planning, Retrospective) and QA roles and responsibilities.

Can contribute effectively in bug triage and RCA discussions.

Job Description:

• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,

Observability and Enabling the SRE activities

• Guide operations support (setup, configuration, management, troubleshooting) of

digital platforms and applications

• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.

• Deploy, configure, and manage SaaS and PaaS cloud platform and applications

• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)

• DevOps programming: writing scripts, building operations/server instance/app/DB

monitoring tools Set up / manage continuous build and dev project management

environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,

systems, and application architectures

• Collaborating with cross-functional teams to ensure secure product development

• Disaster recovery, network forensics analysis, and pen-testing solutions

• Planning, researching, and developing security policies, standards, and procedures

• Awareness training of the workforce on information security standards, policies, and

best practices

• Installation and use of firewalls, data encryption and other security products and

procedures

• Maturity in understanding compliance, policy and cloud governance and ability to

identify and execute automation.

• At Wesco, we discuss more about solutions than problems. We celebrate innovation

and creativity.

Job description: Digital Marketing

Exp: FRESHER

Work Location: Madurai-onsite

Job Description:

• Assist in the formulation of strategies to build a lasting digital connection with consumers
• Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
• Launch optimized online adverts through Google AdWords, Facebook etc. to increase company and brand awareness
• Be actively involved in SEO efforts (keyword, image optimization etc.)

We are hiring for Sr. React Js developer

Location- Indore

Experience- 2+years

Notice period- Immediate to 30days

Primary Skill Set :

Must have expertise on:

1) React, Redux & Redux-Saga

2) Experience/knowledge in working on AngularJS

3) Knowledge in TypeScript

4) Working experience in C#, WebAPI

5) Emotion or JS-based Stylesheets

6) Testing react with Jest and Enzyme

7) Mono Repo

8) Working in distributed enterprise application

9) Design Patterns

10) RDBMS and NoSQL

11) Agile/Scrum

Secondary Skill Set :

1) TDD

2) Working with UX team to understand the mockups and User interactions

3) Knowledge on Jenkins and Dev Ops

Roles and Responsibilities :

1) Should have 5+ years of experience building applications using React, Angular Js

2) Work and collaborate with the team members.

3) Strong knowledge in building reusable react components with the best coding standards.

4) Should have experience in translating mockups into high-quality code

5) Should have experience in writing highly optimized react components

Role:System Analyst

Salary: Not Disclosed by Recruiter

Industry:IT Services & Consulting

Functional Area:IT & Information Security

Role Category:IT Infrastructure Services

Employment Type:Full Time, Permanent

Job Types: Full-time, Permanent

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility