Location: Bangalore
Reporting to: CFO
Age: Up to 35 Years
Working days: 2 Saturdays off in a month.
Notice Period: A Candidate with a notice period of up to 2 months in the current organization can apply for this position.
Qualification Required: Chartered Accountant
Required Skills
- Experience Required: 3 Plus year's valid experience in a similar profile preferably working with Lending Fintech or NBFC/Bank.
- Candidature Required: Open-minded, Enthusiast, Learner, ready to stretch, and amicable in a start-up environment.
- Language Proficiency: Robust command over language and proficiency with compliance terms as per Indian GAAP and able to review compliance and latest taxation norms.
- System Knowledge: Well-versed and working knowledge of MS Office and SAP/ERP Systems.
Job Responsibility:
- Responsible for handling Accounts, Taxation, and compliance functions on Pan India Level.
- Responsible for various MIS as requested by the management
- Responsible for maintaining & finalization books of accounts of the company.
- Responsible for all Direct and Indirect tax compliances and labor tax compliances including returns and coordination with vendors
- Report Accurate financials on a timely basis i.e. monthly/Quarterly/Half yearly/Annually to the CFO/Board
- Comply with the requirements of internal and external auditors on a timely basis
- Managing the accounts receivable and payable and reporting the delinquencies/Credit Loss with aging as per the policy of the board
- A Problem solver with a go-getter approach and able to maintain a healthy relationship with other stakeholders across the company.

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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
Should have knowledge in supplements and protein. A Retail Sales Associate assists customers by providing product information, processing transactions, and ensuring a positive shopping experience. They are responsible for maintaining a clean and organized sales floor, restocking shelves, and assisting with inventory. Additionally, they may handle customer inquiries, process returns, and promote sales through engagement.
Development Skills:
● Experience in developing real time software using C++ on Linux platform Design and
develop C++ Microservices for use in distributed systems.
● Experience with RESTful API development
● Experience installing, configuring, administering, monitoring, and troubleshooting
message brokers, ESB such as RabbitMQ, Kafka, MuleSoft etc
● Experience working with cloud and containerization technologies including AWS,
Google Cloud, Docker, Kubernetes etc.
● Improve quality of existing code base through debugging, re-factoring, and improving
unit and system tests
● Ability to work in a fast-paced environment with Agile mindset.
● Experience working with Scrum APM practices and tools including Jira, Confluence,
Git etc.
Networking Skills
● Understanding of Core Network protocols
● Experience in developing or integrating with real-time systems for networking
products
● Experience in developing with Software Defined Network Elements is an asset
● Understanding of Network protocols and access (MPLS, OpenBGP, OpenFlow) is an
asset
● Understanding of networking principles and concepts (SDN-WAN, SDN, labelling,
routing etc.) is an asset
● Understanding of 3GPP/5G network management, including Radio configuration,
QoS management, SLA management, Netconf, SNMP, directives is an asset
Roles and Responsibilities
● Evaluate the company products and compare them against industry trends.
● Develop an understanding of company products to meet the company's current and future needs.
● Gathering functional /non-functional requirements documents using cases and test plans from product definitions.
● Perform business analysis of functional requirements to identify information, procedures, and decision flows.
● Analyze metrics to continually improve company products.
● Created and maintained project documentation - projects plan, project status reports, decisions logs
● Assist the company in achieving short and long-term goals relating to product growth.
● Analyzing the feasibility of the new engineering Work Request and providing support during the implementation phase.
● Preparation of Test cases and Scenarios.
Prerequisites:-
● Experience:- 0-2 Years of Experience
● Bachelor’s degree in business, economics, mathematics or any related field.
● Previous product analysis experience.
● Extensive knowledge of Microsoft Office Suite (Outlook, Excel, Word, Powerpoint) is preferred.
● Proficient in database software.
● Strong communication skills.
● The ability to work under pressure and adapt to change.
● The ability to balance customer needs against the company’s vision.
● Excellent time management skills

Designation Name: Full Stack Java Developer
Work Location: Gurgaon (Hybrid)
Experience: 5+ Years
We are seeking a highly skilled and experienced Fullstack Java Developer to join our dynamic development team.
As a Fullstack Java Developer, you will be responsible for designing and implementing software solutions that meet our clients' needs. You will collaborate with cross-functional teams to define, design, and deliver high-quality software solutions. The ideal candidate should have a strong background in Java development, React.js, Kubernetes, and Linux, and be passionate about staying updated with the latest industry trends and technologies.
Responsibilities:
● Develop, test, implement, and maintain Java-based applications
● Design and implement front-end interfaces using React.js
● Collaborate with the DevOps team to deploy applications on Kubernetes clusters
● Write efficient, reusable, and scalable code
● Troubleshoot, debug and upgrade existing software
● Work closely with UX/UI designers to implement design mockups into functional applications
● Participate in code reviews and provide constructive feedback to peers
● Stay updated with emerging technologies and industry best practices Requirements:
● Bachelor's degree in Computer Science, Information Technology, or related field
● Proven experience as a Fullstack Java Developer or similar role
● Strong proficiency in Java programming language
● Experience in front-end development using React.js
● Familiarity with container orchestration platforms like Kubernetes
● Proficiency in Linux-based development environments
● Solid understanding of software engineering concepts, algorithms, and data structures
● Excellent problem-solving skills and attention to detail
● Strong communication and collaboration abilities
● Ability to work in a fast-paced, collaborative team environment
• At least 1 &2 Years of experience required.
• Experience with Google Adwords, Social Media Ads is a plus.
• Keyword research analytics
• Experienced in On-page SEO, Off-page SEO and Technical SEO
• Link building and Ranking analysis
• Knowledge of SEO tools and SEO plugins
• Abilities for improving organic Google search results for keyword search ranks.
• Must be able to talk well in English.
Role & Responsibilities
This role will be leading analytics at WarehouseNow. You will be expected to drive data driven decision making with senior management and own product metrics
- Develop an In-depth understanding of user journeys on WarehouseNow Platforms and generate data driven insights & recommendations to help product business in meticulous decision making.
- End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.
- Develop strong hypothesis, execute A/B experiments and identify area of opportunities with strong confidence level.
- Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
- Identify and implement streamlined processes for data reporting, dashboarding and communication
- Collaborate with Product for data tracking and implementation of tools like Google analytics, Firebase, etc.
Key Competencies
- 3+ years of experience in core business analytics/product analytics.
- Excellent SQL, Excel abilities with working knowledge of scripting (Python, R, shell etc.)
- Background in Engineering /Statistics/Operational Research
- Bonus: Prior experience in a B2C Company
Job Functions / Responsibilities:
- Find technical resolutions on issues or queries related to unknown or new scenarios
- Meet cases resolution SLA"s
- Manage relationships with clients
- Work with cross-functional teams as and when required
- Keep up to date with all eCW products and their enhancements
- Maintain excellent customer satisfaction level
- Other duties as assigned
Requirements:
- Proficient with relational databases (MySql, MsSql)
- Knowledge / Experience with Java or C++ (OOPs Concepts)
- Experience with Internet Protocols, HTTP / HTTPs
- Default ports for HTTP / FTP / MYSQL etc
- Experience with Web Application Server(s)
- Understanding of 3 -Tier / N-Tier Architecture
- Knowledge of SQL Server
- Basic Knowledge of Network Concepts (VPN, Telnet, Ping, Protocols)
Other Skills / Abilities:
- Telephone etiquette
- Fluency in English Communication.
- Ability to balance multiple priorities
- Strong analytical and problem-solving skills











