Data Engineer

We are seeking a Senior Technical Engineer to provide L2/L3 support for enterprise network infrastructure including SD-WAN, Security, Wireless, and NAC solutions.

Key Responsibilities

• Troubleshoot complex network issues (LAN/WAN/SD-WAN)
• Manage Firewall policies and security configurations
• Support Cisco ISE (NAC) deployments and troubleshooting
• Handle WiFi controller and access point configurations
• Work on Zscaler and secure internet gateway issues
• Coordinate with OEM/vendor TAC teams
• Perform root cause analysis (RCA)
• Guide junior engineers

Required Skills

• Strong knowledge of Routing & Switching
• Experience with SD-WAN (Viptela or similar)
• Firewall experience (Palo Alto / Fortinet / Cisco / Checkpoint)
• Cisco ISE knowledge
• Wireless troubleshooting experience
• Understanding of security best practices

Experience

• 4–8 years in Network Operations / Enterprise Networking

Key Responsibilities:

1. Understanding the brand that is being represented, the TLC brand, the Program, the benefits, the scripts, the possible talking and opening lines and ensuring that the company guidelines on these are followed when a customer connect is made to enroll them into a membership program.

2. A soft approach to the sales process with conversational scripts and engagement on the call to sign up a customer. To protect the brand and ensure that a positive impact is left on the prospect after the interaction, whether he / she buys a membership or not.

3. Program Benefits must be conveyed in complete transparency leaving no scope of ambiguity or sounding / making false promises or over commitment.

4. Ensure that the prospect is not called for more than 3 times and also, he / she is not spammed on the calls. A prospect who does not want to be spoken to should be blocked from the system.

5. Ensure a database is provided by the company and only approved databases after proper DNC scrubbing are used.

6. It is mandatory to ensure that on every point of connect generating relevant leads are required, this is a part of our database expansion exercise, and must be followed.

7. Ensuing all relevant information is captured and converted into company intelligence like reasons for close etc and the prospects once spoken to are accordingly blocked from the system so that they are not called again.

8. Ensure any escalation or potential escalation is immediately reported to the Manager.

9. Ensure company time spent in the office is spent on productive customer acquisition work and aim for high enrolments, conversions, and no complaints as a performance matrix.

10. Ensuring confidentiality of all company information is maintained at all times.

Required Skills Set:

1. Minimum two years’ experience in a high-quality outbound voice process.

2. Good verbal and social communication skills in English with supporting local language. English will always be the first language for opening a customer conversation.

3. Proactive, confident, and self-motivated.

4. Performance oriented with a passion for sales and numbers.

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

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange.

We are seeking talented Java Application Developers to join our dynamic DPS team. In this role, you will design and implement change requests for existing applications or develop new projects using Jakarta EE (Java Enterprise Technologies) and Angular for the frontend. Your responsibilities will include end-to-end process mapping within the HR application landscape, analyzing developed functionalities, and addressing potential issues.

As part of our dynamic international cross-functional team you will be responsible for the design, development and deployment of modern high quality software solutions and applications as an experienced and skilled Full-stack developer. 

Responsibilities:

Design, develop, and maintain the application.

Write clean, efficient, and reusable code.

Implement new features and functionality based on business requirements.

Participate in system and application architecture discussions.

Create technical designs and specifications for new features or enhancements.

Write and execute unit tests to ensure code quality.

Debug and resolve technical issues and software defects.

Conduct code reviews to ensure adherence to best practices.

Identify and fix vulnerabilities to ensure application integrity.

Working with other developers to ensure seamless integration backend and frontend elements.

Collaborating with DevOps teams for deployment and scaling.

Requirements:

Bachelor’s degree in computer science or information technology, or a related field.

Proven experience as a skilled Full-stack developer. Experience in Utilities / Energy domain is appreciated.

Strong experience with Java (Springboot), AWS / Azure or GCP, GitLab and Angular and / or React. Additional technologies like Python, Go, Kotlin, Rust or similar are welcome

Excellent problem-solving and debugging skills. 

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Java, Spring Boot, Jakarta EE, Angular, React, AWS, Azure, GCP, GitLab, Python, Go, Kotlin, Rust, Full-stack Development, Unit Testing, Debugging, Code Review, DevOps, Software Architecture, Microservices, HR Applications, Cloud Computing, Frontend Development, Backend Development, System Integration, Technical Design, Deployment, Problem-Solving, Communication, Collaboration.

Job Description

We are looking for an experienced software engineer with a strong background in DevOps and handling

traffic & infrastructure at scale.

Responsibilities :

Work closely with product engineers to implement scalable and highly reliable systems.

Scale existing backend systems to handle ever-increasing amounts of traffic and new product

requirements.

Collaborate with other developers to understand & setup tooling needed for - Continuous

Integration/Delivery/Deployment practices.

Build & operate infrastructure to support website, backend cluster, ML projects in the organization.

Monitor and track performance and reliability of our services and software to meet promised SLA

You are the right fit if you have:

1+ years of experience working on distributed systems and shipping high-quality product features on

schedule

Experience with Python including Object Oriented programming

Container administration and development utilizing Kubernetes, Docker, Mesos, or similar

Infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar

Knowledge of cloud compute technologies, network monitoring

Experience with Cloud Orchestration frameworks, development and SRE support of these systems

Experience with CI/CD pipelines including VCS (git, svn, etc), Gitlab Runners, Jenkins

Working with or supporting production, test, and development environments for medium to large user

environments

Installing and configuring application servers and database servers

Experience in developing scripts to automate software deployments and installations

Experience in a 247 high-availability production environmentAbility to come with best solution by capturing big picture instead of focusing on minor details. Root

cause analysis

Mandatory skills: Shell/Bash Scripting, Unix, Linux, Dockers, Kubernetes, AWS, Jenkins, GIT

The Impact you will create:

• To exceed sales and acquisition targets through proactive client communications.
• Prospecting and developing new business by spotting new opportunities to establish rapid growth within the market place.
• Drive the entire sales cycle from initial customer engagement to closed sales
• Following up new business opportunities and setting up meetings.
• Planning and preparing presentations.
• Communicating new product developments to prospective clients.
• Develop and maintain territory plans which outline how sales targets will be met on an ongoing basis
• Provide forecasts on best case and most likely sales volumes over relevant time periods
• Spend a large amount of time visiting clients and attending networking events
• Collaborate with other appropriate internal teams and represent the customers to solve their business requirements.
• Be a contributor to the revenue numbers of the organization
• Work with various internal stakeholders and achieve team targets.

What we look for:

• 4-6 years of experience in Acquisition sales.
• Experience with enterprise software solutions and large, complex organizations.
• Should also exhibit analytical and database technology skills, which play an essential role in maintaining campaign management applications and generating marketing reports.
• Numbers should challenge you.
• Passion and conviction for building relationship.
• A competitive spirit.

• Should have minimum 0ne year experience in US AR Calling .
• Must have experince in Denials
• Must have experience in provider end 
• Candidate should be ready to work in night shift 
• Ready to relocate to Ernakulam
• Preferably immediate joiners