Lead Salesforce Developer

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

What You’ll Do

● Partner with Product to spot high-leverage ML opportunities tied to business

metrics.

● Wrangle large structured and unstructured datasets; build reliable features and

data contracts.

● Build and ship models to:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

○ Power user-to-user discovery and ranking (matchmaking at scale)

○ Detect and block fraud/risk in real time

○ Score conversion/churn/acceptance propensity for targeted actions

● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

● Design and run A/B tests with guardrails.

● Build monitoring for model/data drift and business KPIs

What We’re Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive decisions.

At Prolifics, we are currently implementing multiple solutions on Tosca Automation and we are looking to hire talented Tosca Engineer for our development center in India. This position would be based out of location and is a permanent position.

If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high profile projects, we want to talk to you today! Let’s connect and explore possibilities of having you onboard the Prolifics team!

Role & Responsibilities-

Job Title: Tosca Engineer

Primary skills: TOSCA

Location: HYD

Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc

• VB scripting related triaging which is used by TOSCA
• Hands on experience related to TOSCA connection with other Applications
• Hands on exp of desktop applications automations using TOSCA.
• AS1, AS2, certifications in Tosca.

Looking for enthusiastic tech driven individuals who can architect a web application, push pixels, design a web API, design a UI and optimize the backend for scalability. Should be thrilled to deep dive into the field of Location Intelligence. 

Hiring for the role of  Backend Developer for our Development team. Apply if you are keen to explore how data-tech is changing the decision intelligence landscape.

Sociometrik is a geospatial data intelligence start-up based out of New Delhi, India - founded in 2019 with the mission of redefining data-backed executive decision making. We measure and quantify physical earth, built structures and human activity using multi-channel data sources like satellite imagery, smartphone mobility, web records and administrative data to power alternative data-based decision support systems for our clients.

• Write effective, scalable and reusable code
• Participate in system design and architecture discussions
• Collaborate with Product Owner to identify optimal ways to implement new features & product enhancements.
• Coordinate with internal teams to understand user requirements and provide technical solutions.
• Create UI mock-ups and transform them into quality product features consistent with the Product Owner’s vision.

• Minimum 3 years of work experience as a backend developer
• Minimum 3 years experience in Node.js
• Must have Experience working in a Typescript codebase
• Experience with Leaflet.JS, Google Maps API, or Geospatial projects are a "Nice to Have"
• Exposure to deck.gl is “Good to Have”.
• Proficiency with HTML, CSS, JavaScript and jQuery
• Must have Experience collaborating in a team environment

• An analytical bent of mind
• Good time management skills
• Curiosity for learning
• Creative vision
• Team spirit and good problem-solving skills

Hiring Process

Below is our hiring process for this position. We will reach out or send a rejection notice to most candidates within 1-5 business days of applying. Sociometrik promises to value your time and professionalism in every step of the process.

• Quick Screening 
• Interview with Technical Lead

• Final Interview with Leadership

•  Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Must have experience in technical data structures and should know algorithms
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support
• Work independently and should be able to take greater responsibility of projects

Position - Software Development Engineer

Responsibilities

• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of API integrations
• Optimize application for maximum speed and scalability
• Collaborate with other team members and stakeholders

Requirements

• Proficient understanding of Java 8 or plus, Spring Frameworks, Spring Boot & Microservices
• Strong problem solving skills and good with product understanding
• Good understanding of server-side programming and integration with UI components.
• Good understanding of MySQL and any one NoSQL
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Proficient understanding of code repositories like git
• 2- 5 years of experience

Personal Characteristics

• Passion and commitment
• Coding enthusiastic
• High integrity
• Self-starter

Key Skills

• Java
• Spring
• Spring Boot
• J2EE

What you need to have:

GMetri - Frontend Developer, Bengaluru

At GMetri, we are passionate about driving business impact through immersive experiences. We partner with change-makers across various industries  — from Fortune 500 brands to small disruptors—to help transform the way XR (or eXtended Reality - a blanket term encompassing Virtual / Augmented and Mixed Reality) is used in business, through our unique platform. 

Founded in 2017, the company was identified by industry leaders Oculus/Facebook as the top VR/AR/MR tech company in India. We were also recently featured at Facebook F8 in San Jose for our work. GMETRI currently boasts a growing client list comprising of national and global giants like Myntra, BigBasket, Accenture, Cafe Coffee Day, Bosch, Reliance, DXC Technology, Legrand, Zoomcar and Jio among others.

About the Role:

GMetri works with bleeding edge technologies in order to be able to innovate at breakneck speeds. Which means most of the development technologies and standards being adopted by the industry at large have already been used, upgraded or discarded by us, and we have moved on the next upcoming piece in the stack.

The decision to stay bleeding edge isn’t something that is taken lightly - it is a stepping stone in the promise of innovation that helps us service our clients better.

Core Responsibilities:

Once you are here, you will 

• Get hands on experience with emerging trends and technologies in the field of cloud development, including open source products and contribute to the on-going development of GMetri’s suite of products
• Design, develop, test and deploy features for our VR platform
• Research and find opportunities to utilize web development best practices, guidelines to improve system productivity, scaling and monitoring
• Driving the entire GMetri dashboard independently resolving its features/issues and deploying to production bug-free
• Developing and Designing GMetri Analytics and monitoring dashboards
• Developing new user-facing features using React.js

• Min 2+ years experience in software development
• Should be a quick learner, agile with technology, a hacker at heart
• Strong proficiency in ReactJS, Redux
• Well versed with the Unix environment, es6/es7 concepts
• Should have a broad understanding for both frontend and backend technologies and be abreast with the latest trends
• Team Player, Ability to work in a fast paced and changing environment

Think you're passionate about cutting-edge tech?

Want to push up your learning curve by several notches?

If you're ready, so are we. Apply Now!