VIdeo Editor

Responsibilities:

• Understanding the flow of code and how it interacts with different components.
• Understanding project documents, customer demands, and product objectives to create and execute test cases.
• Setting up, maintaining, and performing test automation frameworks on multiple application platforms, such as Mobile, Desktop, and Web, and building test scenarios and acceptance tests.
• Investigating customer problems referred to you by the technical support team, testing bugs, and creating and managing bug reports.
• Handling technical communications and understanding the customers' systems.
• Working with deployments teams, resolving level issues for systems, coordinating on product design, and offering inputs on the testability of functional elements and product designs.
• Noting all testing actions you have performed in daily and weekly reports.
• Analyzing and disintegrating software systems and coordinating with other teams to enhance the overall design.
• Researching test tools, methodologies, and trends and upgrading existing practices and processes.
• Managing the final quality on production release.

Eligibility Criteria:

Exp- 4-7 years

Notice period- Currently Serving

Mode of Work- Hybrid

Must have skills:

1. Should have good hands on Java (spring, DSA and Problem Solving)
2. Experience in API Testing- Rest Assured
3. Experience in Selenium

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

Experience Required: 5- 8 years

Location: Ahmedabad

Job description: Looking for someone who has worked as Configuration & Asset Manager and has defined processes & procedures to manage & maintain CMDB from multiple sources. Also, should be able to coordinate with business stakeholders and increase completeness, compliance & Correctness of CMDB

• Proficiency in Angular (v8+) and TypeScript.
• Strong knowledge of HTML5, CSS3, and JavaScript/ES6+.
• Hands-on experience with RxJS for reactive programming.
• Experience with state management libraries like NgRx or similar.
• Familiarity with RESTful APIs and JSON data structures.
• Understanding of authentication and authorization mechanisms (OAuth, JWT).
• Experience with Angular CLI for project setup and management.
• Proficiency in browser developer tools for debugging.
• Strong experience with Jasmine, Karma, or other testing frameworks.
• Familiarity with build tools like Webpack or Vite.

Greetings from Colan Infotech Pvt Ltd !!

Designation - AngularJS Developer

Experience -1+ Years

Salary - As per market standard

Job Location - Chennai

Notice Period - Immediate to 30 Days

Skills

Should have experience in HTML,CSS,Angular JS,Javascript, Jquery

Should have good communication skill

• Provide support to an organization in finding the qualified candidates for vacant job positions.
• Contribute to the human resource management and employment for smooth functioning of a medical facility.
• Review large number of resumes or curriculum vitae
• Research for job fairs, job seminars and involve in cold calling, referral recruiting, etc., to get the right candidate.
• Screen each resume carefully to shortlist the appropriate ones, based on the professional and personal credentials.
• Manage interview on telephones or personal meeting to figure out the matched qualities, before processing it to the hiring manager or key interview panel.
• Assist in arranging face-to-face interview with higher management.
• Assist the managers in recognizing the key skills and competencies of the candidate to make the final selection of the candidate.
• Negotiate and decide the cost/salary of the employee in consultation with the higher management.
• Check the background of candidates followed by employment reference checking.
• Carry out pre-employment tests like medical test, intelligence quotient, emotional quotient, etc.
• Report to the manager on the status of the interview and selection process.
• Work according to the rules, regulations and recruitment strategies of the organization.
• Suggest new approaches towards developing better recruitment policies.
• Arrange several marketing initiatives in advertising job vacancies through job sites, company website, newspaper, job vacancy journals, etc.
• Monitor the need for new employees for a particular post.
• Suggest effective employee benefit schemes to enhance the organization's effectiveness.
• Be aware of the healthcare job market trends.
• Analyze and review the effectiveness of the selected candidates and take corrective steps if goals are not met.

Desired skills:

• Bachelor’s degree or equivalent combination of education and experience in Computer Science.
• Ability to establish priorities, goals/objectives and timelines.
• Possess strong planning and time management skills.
• Demonstrated ability to delegate and oversee assignments to ensure successful and timely completion as well as to obtain the cooperation of others within and outside the unit. Works in a collaborative manner to achieve results.
• Ability to effectively present technical topics to internal groups with potentially varied levels of technical sophistication. Strong communicator with excellent ability to work in a team environment.

Preferred Experience:

• 2-3 years of industry experience in software development.
• Experience working with medical data
• Experience and familiarity working in development teams and team-based development practices including scrum/agile, code review, etc.
• Knowledge and experience working with NoSQL databases such as MongoDB, CouchDB, Raven DB, etc.
• Knowledge of RDBMS concepts and experience with Microsoft SQL Server, MySQL, etc.
• Knowledge and experience working with Node.js and related frameworks such as Express.js.
• Knowledge and experience working with web application frameworks such as Angular, AngularJS, or React and related frameworks such as Ionic.
• Familiarity with FHIR APIs and experience working with REST APIs.
• Experience working on full-stack projects.
• Familiarity with CI/CD pipelines