Receptionist

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

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

· Strategy & Architecture: Collaborate with stakeholders to define end-to-end migration strategies, including data mapping, transformation, and validation rules.

· Technical Execution: Utilize tools like SQL DB, CSV2TCXML, IPS Upload, and ETL tools to migrate CAD and metadata.

· Customization: Develop custom migration solutions using BMIDE (Business Modeler IDE), ITK (Integration Toolkit), and SOA (Service Oriented Architecture).

· Project Leadership: Break down projects into manageable work packages, leading both onsite and offshore teams.

· Validation & Quality: Perform validation checks to ensure data integrity and accuracy post-migration.

· Integration Support: Manage CAD integrations (NX, Inventor, Creo) and PLM integrations (T4S, T4O, T4EA).

Job Title: QA Manual Engineer

Job Type: Full Time

Location: Indore

Summary/Objective:

We are seeking an experienced Automation QA (Quality Assurance) professional to join our team in Indore. As an Automation QA, you will be responsible for designing, developing, and executing automated test scripts to ensure the quality and reliability of our software products. You will work closely with the development team to identify areas for automation and implement efficient testing strategies.

Responsibilities/Duties:

1.     Design, develop, and maintain automated test scripts using Selenium WebDriver and other automation tools.

2.     Execute automated test suites to validate software functionality, performance, and reliability across different platforms and environments.

3.     Work closely with cross-functional teams to understand project requirements, identify test scenarios, and develop comprehensive test plans.

4.     Collaborate with developers to ensure that test cases are integrated into the continuous integration/continuous deployment (CI/CD) pipeline.

5.     Analyze test results and report defects in a clear and concise manner, providing detailed information to facilitate debugging and resolution.

6.     Participate in agile ceremonies such as sprint planning, daily stand-ups, and retrospectives to provide QA input and feedback.

7.     Continuously research and evaluate new testing tools, technologies, and methodologies to improve efficiency and effectiveness.

8.     Contribute to the development and maintenance of QA documentation, including test cases, test scripts, and test reports.

Qualifications/Requirements:

Education:

• Bachelor's degree in Computer Science, Engineering, or related field.

Experience:

• 2 to 3 years of experience in automation testing, preferably in a software development environment.
• Experience with automation testing tools such as Selenium, Appium, or similar.
• Strong understanding of software testing methodologies, tools, and processes.
• Experience with cloud-based testing environments (e.g., AWS, Azure).
• ISTQB or similar certification in software testing.

Skills:

• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.

·        Excellent attention to detail and ability to work independently or as part of a team.

·        Ability to multitask and prioritize tasks in a fast-paced environment.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

• Experience in Core Java 5.0 and above, CXF, Spring. 
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good Experience into Microservices , Data structures , Oops , Algorithms, multithreading etc 
• Good development experience with RDBMS, preferably Sybase database. 
• Good knowledge of multi-threading and high-volume server-side development. 
• Experience in sales and trading platforms in investment banking/capital markets. 
• Basic working knowledge of Unix/Linux. 
• Experience into High /Low level designing. 
• Excellent problem solving and coding skills in Java. 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

Job Title: Senior Interior Designer

Location: Marol Andheri Ho Office

Job Type: Full-Time

Experience Required: 6+ years

Industry: Interior Design / Architecture / Real Estate / Construction Job

Summary: We are seeking a creative and experienced Senior Interior Designer to lead and manage interior design projects from concept through execution. The ideal candidate will possess strong design sensibility, excellent client communication skills, and a deep understanding of space planning, materials, and current design trends.

Key Responsibilities:

 Lead the concept development, design presentations, and execution of interior projects.

 Prepare detailed design layouts, drawings, mood boards, and 3D visualizations.

 Coordinate with clients, vendors, consultants, and project teams.

 Oversee site supervision and ensure design integrity during execution.

 Select and specify materials, furnishings, lighting, and color palettes.  Manage budgeting, timelines, and project deliverables.

 Mentor and guide junior designers and draftsmen.

 Ensure compliance with local codes and standards.

 Regularly present and pitch ideas to clients and stakeholders.

Required Skills & Qualifications:

 Bachelor’s or Master’s degree in Interior Design / Architecture.

 Minimum 6 years of proven interior design experience in residential, commercial, or hospitality sectors.

 Proficient in design tools such as AutoCAD, SketchUp, 3Ds Max, V-Ray, Photoshop, Revit, or similar.

 Strong knowledge of materials, finishes, and construction techniques.  Excellent communication, leadership, and project management skills.  Creative thinking with attention to detail and problem-solving ability.

We are founded by a team from Harvard and IIT, is a global

education venture teaching school children 1000+ essential modern subjects (Crypto, Climate,Space, etc.) and 21st-century skills (Critical Thinking and Communication). With students from 20+ countries, the academy has quickly grown its global footprint. We have small group online live sessions, pre, and post-class world-class self-learning content for children to grow 10X confident in the real world.

Job Details: Full Stack Engineer - FSE - 2

Role Scope: We are looking for an experienced WordPress developer to join our Technology team. As a full-stack developer, you will work closely with our Design, Product, and Technical Architectural members to develop features, migrate existing environments to a better

architecture, maintain ESA LMS environment that focus on the educational needs of Parent and Students globally. Working at Early Steps Academy is one of the best opportunities to get first-hand experience in an early-stage startup, explore different domains, and achieve your career goals.

Preferred Qualifications & Skills

● A minimum of 3 years of relevant experience

● Strong programming skills in PHP

● Hands-on expertise in building reusable components and independently publishable

packages

● Strong experience in WordPress, LearnDash, HTML, Typescript/Javascript and CSS

frameworks

● Practitioner of IaC (AWS), CI/CD, Containerization(Docker), Accessibility, Server Side

Rendering, Pre-rendering, Serverless and Agile

● Ability to adapt quickly to a new direction