Automation Tester

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 description for Production Engineer

Production Engineer manages shifts, production supervisors and all operators &

ensures smooth running of the production process, organising & monitoring work-

flow.

Roles & Responsibilities:

 Completes production plan by scheduling and assigning personnel;

accomplishing work results; establishing priorities; monitoring progress;

revising schedules; resolving problems; reporting results of the shift

production summaries;

 Supervising the manufacturing processes, ensuring quality work is done in a

safe, efficient manner;

 Diagnosing problems in the production line and providing solutions;

 Ensures that all products are produced as per Customer's specifications;

 Ensures targets and deadlines are met as per Work Orders;

 Attending to minor breakdowns of machines;

 To maintain all Company machines/equipment so as to obtain optimal

performance; evaluate new equipment and techniques;

 Ensures all operators & contract staffs comply with health & safety

procedures;

 Manage, develop, and motivate direct reporting employees;

 Monitor, measure, and report on production-related process performance, and

general issues; update daily production reports;

 Use Problem-solving and troubleshooting skills to ensure that all employees

can identify root causes and take fast corrective and preventive action to

resolve the problems at hand;

 Keeping abreast of advancements in engineering and production, and sharing

knowledge with co-workers.

 Identifying, documenting, and reporting unsafe practices.

 To work closely with other production supervisors to ensure production

handovers are smooth & effective;

 To provide on-the-job training for improving production efficiency & quality;

 Maintain 5S standards to ensure a clean & safe workplace;

 Coordinates with PPC, Engineering, Sales & Marketing, Purchase, Stores,

Logistics, Accounts;

 Maintain records/reports as per ISO & IATF requirements;

 Work non-traditional hours on weekends and holidays during exigencies;

 Any other task assigned by management;

 Reporting to AGM-Operations

Key Result Areas/KRAs (annual evaluation across entire Company) for

Production Supervisors:

 To take full responsibility of the shift in terms of management of operators,

contract employees, production supervisors and achieving production targets;

 To take full responsibility for the quality and product that is produced within

the shift in line with the quality systems, processes, and procedures;

 To have an active role in the continuous improvement plan.

Key Performance Indicators/KPIs (monthly evaluation) for Production

Engineer:

1. On-time Delivery of WOs = % (Target: 98%)

2. Worst Point Photography (WPP)

3. Fixed Point Photography (FPP)

4. Labour Productivity = Units Produced/Man-hours used = ……Units per man-

hour

5. Production Charts

About the Role

We are seeking a highly motivated DevOps Engineer to join our growing technology team. In

this role, you will be responsible for building and maintaining efficient, scalable, and secure

infrastructure on Microsoft Azure. The ideal candidate has a solid foundation in DevOps best

practices, strong experience with Azure services, and an overall professional background of 4-5 years in software engineering, IT infrastructure, or related fields.

Key Responsibilities

●Azure Infrastructure Management: Design, deploy, and manage cloud infrastructure on

Microsoft Azure, including virtual machines, storage solutions, and networking

components.

●CI/CD Implementation: Develop and maintain continuous integration and continuous

delivery pipelines using Azure DevOps (or similar toolchains), optimizing workflows for

speed and reliability.

●Automation & Scripting: Implement infrastructure-as-code using tools such as ARM

Templates, Terraform, or Ansible to streamline deployments and reduce manual

overhead.

●Containerization & Orchestration: Work with Docker and Kubernetes (Azure Kubernetes

Service preferred) to containerize applications and manage distributed workloads.

●Monitoring & Alerting: Set up and maintain monitoring solutions using Azure Monitor,Application Insights, or other tools. Develop metrics and alerts to proactively identify issues and optimize performance.

●Security & Compliance: Collaborate with security teams to ensure systems meet organizational and regulatory standards. Implement best practices around access control, data protection, and network security within Azure.

●Collaboration & Communication: Work closely with software engineers, QA, and product teams to ensure seamless integration, rapid delivery, and a high level of quality for all software releases.

●Troubleshooting & Incident Management: Diagnose and resolve technical issues across cloud-based environments, participating in on-call rotations to support production systems.

Required Skills & Qualifications

●Professional Experience: 4-5 years of overall experience in software development, IT operations, systems engineering, or a related field.

●Azure Expertise: At least 2 years of hands-on experience working with Azure services (VMs, Storage, Networking, AKS, Azure DevOps, etc.).

●CI/CD Knowledge: Strong familiarity with continuous integration and continuous deployment concepts, including pipelines and version control systems (Git).

●Infrastructure as Code (IaC): Proficiency with one or more IaC tools (e.g., Terraform,ARM Templates, Ansible) to automate environment provisioning and management.

●Containerization: Experience with Docker and container orchestration platforms like Kubernetes (preferably AKS).

●Scripting: Ability to write and maintain scripts in languages such as PowerShell, Bash, or Python for automation and tooling.

●Monitoring & Logging: Experience with setting up application performance monitoring, logging, and alerting in Azure (Azure Monitor, Application Insights).

●Security Best Practices: Working knowledge of cloud security principles, including identity and access management, encryption, and network security groups.

●Problem-Solving & Communication: Strong analytical skills, attention to detail, and the ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Nice-to-Have Skills

●Certifications: Azure certifications (e.g., AZ-104, AZ-400) or related DevOps certifications.

●Additional Cloud Experience: Familiarity with other cloud platforms like AWS or GCP.

●SQL/NoSQL Databases: Knowledge of database configuration and administration on Azure (e.g., Azure SQL, Cosmos DB).

●Agile Methodologies: Experience working in agile environments, participating in sprints and scrum ceremonies.

What We Offer

●Competitive Compensation: Salary commensurate with experience, plus benefits.

●Professional Growth: Opportunities for continued learning, certification support, and career advancement.

●Collaborative Culture: Work with a dynamic, cross-functional team that values innovation and transparency.

●Flexible Environment: Hybrid or remote work options (depending on location and project requirements).

If you’re passionate about leveraging Azure to build reliable, scalable, and secure solutions, we would love to hear from you.

- Writing, editing and proofreading website content.

- Write Articles, Blogs, Social media,  Forum and other SEO best practices.

- Develop content to support SEO strategies to drive traffic to the site and improve website Ranking.

- Understanding of Web publishing requirements.

- Experience in creating content for the web and growing a social audience.

- Editorial mindset with an ability to predict audience preferences.

- Expertise in social media platforms.

- Collaborate with multiple teams to develop compelling content plans.

- Ability to deliver high-quality documentation paying attention to details.  

- Basic Knowledge of technical terminologies.

- Excellent communication skills in English both written and spoken.

We are looking out for Sr. PHP developers to join us at Intricare Technologies.

Your primary focus will be the development of all server-side logic using PHP Frameworks. You will be a part of a full-stack development team that is responsible for all aspects of the ongoing software development.

Responsibilities and Duties
> We are looking for an enthusiastic, diligent Senior PHP Developer
> Good communication skills and dedication to work
> Hands-on experience with any PHP Frameworks {such as Laravel or Yii 2.0 or Codeigniter)
> Excellent problem-solving skills and a positive attitude.
> Should be excited about working with the company in a dynamic work environment.

> Care a lot about product and user experience and take responsibility for thinking like a user. 

> Be comfortable in a fast-paced environment

> Build a great culture, product, and business

Bonus points if you: 

- Experience with rest API & microservices

- Experience with AWS Services

- Have worked with Vue.js in past

Kindly visit our website:- www.intricaretech.com