Java 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

Key Responsibilities

• Generate, qualify, and engage leads using relevant lead generation tools and

social selling techniques.

• Build, maintain, and manage a strong sales pipeline.

• Conduct product demos and respond to sales inquiries effectively.

• Meet or exceed monthly and quarterly revenue and conversion targets.

• Collaborate with the sales and marketing teams to improve lead quality and

conversion processes.

• Maintain updated records of leads, conversations, and outcomes in CRM tools.

• Provide a customer-centric experience and maintain strong relationships with

prospects.

• Demonstrate ownership, self-drive, and a proactive approach to achieving goals.

• Required Skills & Competencies

• Knowledge of lead generation tools and social selling strategies.

• Strong communication and persuasion skills.

• Ability to handle product demos confidently.

• Target-oriented with a high sense of accountability.

• Self-motivated and able to work independently.

• Customer-first mindset.

Be the brain behind a real based tokens project where real liquidity powers P2P trading.

We build next-gen blockchain tokens (ERC20/BEP20/TRC20) that are instantly transferable P2P, divisible, tradable on escrow systems, and backed by real liquidity.

Who We’re Looking For:

IIT graduates preferred with strong Blockchain + DeFi expertise

Solidity + Web3.js / Ethers.js expert

Experienced in tokenomics, stablecoins, AMMs, liquidity pools & P2P escrow

Ability to mint max tokens with minimal liquidity investment while keeping price stable

Key Responsibilities:

Deploy secure ERC20/BEP20/TRC20 tokens

Design liquidity-backed tokenomics

Optimize capital efficiency & AMM strategies

Build P2P escrow smart contracts

Maintain stable token price peg across exchanges

Job Description: Education Counselor

Company: EmpowerEdu 

Position: Counselor 

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About EmpowerEdu:

At EmpowerEdu, we are committed to revolutionizing the educational landscape by providing strategic support and innovative solutions that foster growth and excellence. Our mission is to empower schools to explore new frontiers and capitalize on opportunities for advancement beyond traditional norms. We aim to enhance global educational offerings and equip our partners for success in an increasingly interconnected world.

Learn more about us at : https://www.empoweredu.global/

Role Purpose:

The Education Counselor will provide comprehensive counseling services to guide students in finding institutions that are a good fit for their career and educational goals. This includes delivering accurate information and advice on study opportunities, local education systems, cultures, and geographic regions. The Counselor will assist with application documentation, facilitate enrollments, and promote EmpowerEdu's products and services.

Key Accountabilities:

- Pipeline Management: Drive achievement of pipeline goals, customer satisfaction, and advocacy targets through each stage of the student journey. This includes promoting essential student products and services, managing and maintaining leads, and ensuring successful applications.

- Customer Service Excellence: Provide outstanding customer service to students, families, and education providers throughout the process. Participate in planning activities to build student engagement and deliver information about admissions, processes, and qualification options in an easily understandable manner.

- Proactive Engagement: Regularly engage with students and education providers to maintain relationships and identify referral opportunities.

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Required Experience:

- Experience in a sales or customer service-driven environment, with a proven track record of achieving individual and team-based targets.

- Strong understanding of the education sector, including the placement of students into overseas universities, as well as immigration requirements and processes.

- Relevant tertiary qualifications and/or prior experience as an Education Counselor or in a similar role.

- Outstanding stakeholder management and communication skills, with fluency in English (both verbal and written).

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Why Join EmpowerEdu?

At EmpowerEdu, you will be part of a dynamic team dedicated to transforming education. We value innovation, collaboration, and the pursuit of excellence, offering you the opportunity to make a significant impact on the educational journeys of students worldwide.

If you are passionate about empowering students and want to be part of an exciting educational journey, we invite you to apply!

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Write efficient code in - PySpark, Amazon Glue
• Write SQL Queries in - Amazon Athena, Amazon Redshift
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services 
• Deliver the projects along with the team collaboratively and manage updates to customers on time

What are we looking for?

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
• 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
• 2+ years of experience in SQL queries and stored procedures
• Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+

You will be preferred if you have

• Prior experience in working on AWS EMR, Apache Airflow
• Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
• Understanding of DataOps Engineering

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

What you need to have:

• CA Qualification with overall 3 to 5 years of experience post-qualification preferably in FMCG companies
• Solid understanding of physical products like inventory, warehouse, logistics
• Experience in funded startup preferred
• Excellent verbal and written communication skills