Unity developers

Job description - React Developer Responsibilities: - Develop high quality Javascript (ES6) code for our React applications. - Coordinate with backend engineers to establish JSON-based APIs. - Optimize application for maximum speed and compatibility. - Integrating third-party dependencies and debugging dependency conflicts - Multitask seamlessly, always maintaining a positive attitude and a client-first mentality - Incorporate engineering best practices, methodologies & standards in all deliverables - Pay close attention to details and be able to follow specifications and mockups (pixel perfect). - Making recommendations to address UI/UX issues. Requirement: - Must have good understanding in web application development - Strong experience in React, JavaScript, ES6, CSS3. - Good experience with React or React Native and Redux. - Experience building complex features and interfaces for React applications. - Familiarity with RESTful APIs. - Experience with version control tools (Git), NPM- - Deep understanding of data structures, data flow, Ajax and CRUD. - Solid knowledge of web app development practices. - Excellent spoken and written English. Experience : 2+years of experience Requirement : Immediate Joinee to 30 days

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:

UiPath Studio Automation Developer

हम एक ऐसे Automation Developer की तलाश में हैं जो पूरा workflow सिर्फ UiPath Studio में बना सके।

Project में multiple websites से data fetch करना, online forms भरना, documents download करना, images/PDFs process करना और final PDF को portal पर upload करना शामिल है।

Responsibilities

• Multiple websites auto-open & login
• Order data extract करना
• Online forms automatically fill करना
• ZIP, Images, PDFs download करना
• ZIP extract करके order-wise folder बनाना
• Images crop/resize करना
• JPG/PNG को PDF में convert करना
• Multiple PDFs merge/compress/rename करना
• Final PDF को website पर upload करना
• Submission receipt download & save करना
• Workflow में loop बनाना (multiple orders processing)
• Proper error handling, retry logic, logging

Requirements

• UiPath Studio में strong experience
• Web automation & selector handling
• Image processing & PDF editing knowledge
• Fast, stable, production-ready workflow design skills

Deliverables

• Fully working UiPath project
• Stable & clean selectors
• Documentation
• Demo video of workflow

• Write clean, scalable code using .NET programming languages
• Remain up to date with the terminology, concepts, and best practices for coding mobile apps
• Develop technical interfaces, specifications, and architecture
• Use and adapt existing web applications for apps
• Create and test software prototypes
• Develop client displays and user interfaces
• Assist software personnel in handling project-related work and other requirements
• Coordinate with other software professionals and developers

• Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic . NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

Responsibilities:

• Crawl the internet/intranet for issues people are facing and convert them in to stuctured data that would be consumed downstream.
• Familiar with the software development life cycle (SDLC) from analysis to deployment.
• Comply with coding standards and technical design.
• Adapts structured coding styles for easy review, testing, and maintainability of the code.
• Integrate the developed functionality and/or component into a fully functional system.
• Ensure unit and integration level verification plans are in place and adheres to the great quality of code at all times.
• Actively participate in troubleshooting, debugging and updating current live system.
• Verify user feedback in making the system more stable and easy.
• Work closely with analysts, designers, and other peer developers.

Requirements:

• Bachelor's degree in computer science or equivalent practical experience.
• Understanding of OOPS concepts, Persistence, Threading.
• Good understanding of version control system (GIT).
• Knowledgeable in data structures and algorithms.
• A background in Engineering with sound oral and written communication skills.
• 6+ years of experience working on the server-side.
• Exposure to API designing, scalable architecture, and thorough understanding of systems.
• Great database modeling skills.
• Working knowledge of Databases, both relational (such as PostgreSQL) and in-memory database (such as Redis).
• Good understanding of web stack and how all the pieces fit together.
• Experience with open-source projects.
• Experience in designing interactive applications.