Machine Learning (ML)
Deep LearningJob 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Impacto Digifin Technologies
About
Impacto Digifin Technologies empowers businesses to embrace digital transformation with intelligent, AI-driven solutions. Our platforms simplify document management, data verification, and compliance processes, reducing manual effort, enhancing accuracy, and accelerating results. From fast-growing fintechs to established enterprises, our solutions are designed to adapt to unique operational needs, whether it’s streamlining customer onboarding, automating back-office workflows, or eliminating paperwork bottlenecks.
What sets Impacto Digifin apart is our hybrid approach—leveraging automation for speed while maintaining human oversight where it matters most. This ensures efficiency without compromising trust, enabling organizations to operate with clarity and control. More than just a technology provider, we act as a digital partner, helping teams scale smarter, optimize processes, and transform their operations with confidence.
Candid answers by the company
Impacto Digifin Technologies provides AI-powered solutions that streamline document management, data verification, and compliance for businesses.
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Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.
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We're looking for a Software Engineer to join our engineering team in our Bangalore office. We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.
Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.
We pay well above market for the country's best talent and provide a number of excellent perks.
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In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.
You'll wear many hats. Your responsibilities will fall into 2 categories:
AI Engineering
- Develop AI agents with a high bar for reliability and performance.
- Build SOTA LLM-powered tools for providers, practices, and patients.
- Architect our data annotation, fine tuning, and RLHF workflows.
- Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.
Full-Stack Engineering (80% backend, 20% frontend)
- Lead the team in designing scalable architecture to support performant web applications.
- Develop features end-to-end for our web applications with industry leading product and user experience (Typescript, nodeJS, python etc).
Perks of Working at Asha Health
#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).
#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).
#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)
Python
Django7+ years of experience in Python Development
Good experience in Microservices and APIs development.
Must have exposure to large scale data
Good to have Gen AI experience
Code versioning and collaboration. (Git)
Knowledge for Libraries for extracting data from websites.
Knowledge of SQL and NoSQL databases
Familiarity with RESTful APIs
Familiarity with Cloud (Azure /AWS) technologies
About Wissen Technology:
• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
Website : www.wissen.com
PythonJob Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid
Duration: Full time
Job Summary:
About the Role:
We are growing our Data Science and Data Engineering team and are looking for an
experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.
Responsibilities:
· Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.
· Analyze existing data entry workflows and propose automation opportunities.
Design:
· Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.
· Collaborate with clients to define project scopes and objectives.
Technology Selection:
· Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.
· Ensure seamless integration with existing systems and workflows.
Prototyping and Testing:
· Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.
· Conduct rigorous testing to ensure accuracy and reliability.
Implementation and Integration:
· Work closely with clients and IT teams to integrate AI solutions effectively.
· Provide technical support during the implementation phase.
Training and Documentation:
· Develop training materials for end-users and support staff.
· Create comprehensive documentation for implemented solutions.
Continuous Improvement:
· Monitor and optimize the performance of deployed solutions.
· Identify opportunities for further automation and improvement.
Qualifications:
· Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).
· Proven experience in developing and implementing AI solutions for data entry automation.
· Expertise in NLP, LLM and other machine-learning techniques.
· Strong programming skills, especially in Python.
· Familiarity with healthcare data privacy and regulatory requirements.
Additional Qualifications( great to have):
An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.
Machine Learning (ML)PythonAbout Role
We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.
This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features
Key Responsibilities
- Design, develop, and maintain scalable backend services using Python
- Build APIs and services using FastAPI, Flask, or Django
- Ensure performance, reliability, and scalability of backend systems
- Integrate AI/ML models into production systems (model inference, automation)
- Build and maintain AI pipelines for data processing and inference
- Deploy and manage applications on AWS, with exposure to GCP and Azure
- Implement CI/CD pipelines, containerization, and cloud deployments
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Optimize cloud infrastructure for cost, performance, and reliability
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Follow best practices for security, monitoring, and logging
Required Qualifications
- 2–4 years of professional experience in Python development
- Strong understanding of backend frameworks: FastAPI, Flask, Django
- Hands-on experience integrating AI/ML systems into applications
- Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
- Exposure to Google Cloud Platform (GCP) and Microsoft Azure
- Experience with Docker and CI/CD workflows
- Understanding of scalable system design principles
- Strong problem-solving and debugging skills
- Ability to work collaboratively in a product-driven environment
Perks and Benefits
- Work in Nikhil Kamath funded startup
- ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
- Opportunity to build long-term wealth through ESOP participation
- Work on production-scale AI systems used in real-world applications
- Hands-on experience with AWS, GCP, and Azure architectures
- Work with a team that values clean engineering, experimentation, and execution
- Exposure to modern backend frameworks, AI pipelines, and DevOps practices
- High autonomy, fast decision-making, and real ownership of features and systems
PythonAbout Synorus
Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.
If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.
Role Overview
We are seeking passionate AI/LLM Engineering Interns who can:
- Fine-tune LLMs for legal domain use-cases
- Train and experiment with open-source foundation models
- Work with large datasets efficiently
- Build RAG pipelines and text-processing frameworks
- Run model training workflows on Google Colab / Kaggle / Cloud GPUs
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- Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
- Build and preprocess legal datasets at scale
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- Evaluate models for accuracy, hallucinations, and trustworthiness
- Implement RAG architectures (vector DBs + embeddings)
- Work with GPU environments (Colab/Kaggle/Cloud)
- Contribute to model improvements, prompt engineering & safety tuning
Must-Have Skills
- Strong knowledge of Python & PyTorch
- Understanding of LLMs, Transformers, Tokenization
- Hands-on experience with HuggingFace Transformers
- Familiarity with LoRA/QLoRA, PEFT training
- Data wrangling: Pandas, NumPy, tokenizers
- Ability to handle multi-GB datasets efficiently
Bonus Skills
(Not mandatory — but a strong plus)
- Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
- Familiarity with vLLM, llama.cpp, GGUF
- Worked on summarization, Q&A or document-AI projects
- Knowledge of legal texts (Indian laws/case-law/statutes)
- Open-source contributions or research work
What You Will Gain
- Real-world training on LLM fine-tuning & legal AI
- Exposure to production-grade AI pipelines
- Direct mentorship from engineering leadership
- Research + industry project portfolio
- Letter of experience + potential full-time offer
Ideal Candidate
- You experiment with models on weekends
- You love pushing GPUs to their limits
- You prefer research + implementation over theory alone
- You want to build AI that matters — not just demos
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PythonMachine Learning (ML)Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
Data SciencePythonDevelop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Java
Machine Learning (ML)
JavascriptPython
Amazon Web Services (AWS)Machine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon