SEO Specialist <> Zapify Pro

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 - Software Engineer / Core Engineer

Java Full Stack Developer with GCP

Location: Sholinganallur, Chennai - Work From Office (WFO)

Positions: Software Engineer / Core Engineer

Experience: 6+ Years IT Experience, with 4+ Years in Software Development [Ideal: 6-10 Years]

Education: Bachelor's Degree

Employment Type: Full-Time

Role Summary

This is a Java Full Stack Developer role with GCP as mandatory requirement, where Java, Spring Boot, Angular, and GCP are non-negotiable. You will be part of Core Engineering building cloud-native, scalable full-stack platforms.

Mandatory Skills

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills

• GCP Data: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Orchestration & Big Data: Apache Airflow, PySpark, Python
• DevOps & IaC: Terraform, Tekton, Maven, Gradle
• API & Quality: APIGEE, Swagger / OpenAPI, SonarQube, Spring Cloud
• UI/UX Collaboration

Roles & Responsibilities

1. Design, develop, test, and deploy full-stack applications end-to-end.
2. Build scalable REST APIs and Microservices architecture.
3. Develop responsive Angular-based UI applications.
4. Design software architecture and cloud-native solutions.
5. Work on GCP deployments and cloud migration projects.
6. Follow Agile, TDD, CI/CD, and DevOps practices.
7. Collaborate with Product Owners, Architects, UI/UX teams, and other stakeholders.
8. Ensure application security, performance optimization, and code quality.

Ideal Candidate Profile

• 6-10 years of experience with strong hands-on coding.
• Strong expertise in Java, Spring Boot, Angular, and GCP.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and cloud deployment.
• Good communication skills and experience working in Agile teams.
• Willing to work WFO from Sholinganallur, Chennai.

REVIEW CRITERIA:

MANDATORY:

• Strong Customer Success, Large account management Profile
• Must have 5+ YOE in Customer Success, Account Management, or Client Relationship in a SaaS environment.
• Must have 3+ YOE in Team management
• Must have expertise in managing and ensuring long-term satisfaction and growth with the enterprise-level customers,
• Must be proficient in CRM and customer success tools
• Candidate for Hyderabad should know 1 more South Indian language (Tamil, Kannada, Malayalam) other than Telugu

PREFERRED:

• Retail, Manufacturing or FMCG
• Candidates for Hyderabad knowing any other south Indian language apart from Telegu

ROLE & RESPONSIBILITIES:

• Build and maintain strong relationships with key stakeholders within assigned high ticket accounts.
• Serve as the primary point of contact for strategic customers, ensuring their needs are met and expectations are exceeded.
• Develop and execute customer success plans, including onboarding, training, and ongoing support.
• Proactively identify and address customer challenges, providing solutions and recommendations to drive customer success.
• Collaborate with cross-functional teams, including Sales, Product, and Support, to ensure a seamless customer experience.
• Conduct regular business reviews with customers to review performance, identify areas for improvement, and present new opportunities.
• Monitor customer health metrics and proactively address any red flags to prevent churn.
• Act as a customer advocate, providing feedback and insights to internal teams to drive product enhancements and improvements.
• Stay up-to-date with industry trends and best practices in customer success management.

IDEAL CANDIDATE:

• Bachelor's degree in Business Administration, Accounts, or a related field.
• Minimum of 5 years of experience in a customer success role, preferably in a SaaS company.
• Proven track record of managing and retaining high-value customers.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with customers.
• Strong problem-solving and analytical skills, with the ability to identify and address customer challenges.
• Self-motivated and results-oriented, with the ability to work independently and as part of a team.
• Proficient in CRM software and other customer success tools.
• Ability to travel as needed to meet with customers.

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

Responsibilities

• Develop and implement HR strategies and initiatives aligned with the overall business strategy
• Bridge management and employee relations by addressing demands, grievances or other issues
• Manage the recruitment and selection process
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization
• Nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance
• Maintain pay plan and benefits program
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

We are looking for a talented Social media manager to administer our social media accounts. You will be responsible for creating original text and video content, managing posts and responding to followers. You will manage our company image in a cohesive way to achieve our marketing goals.

As a Social media manager, we expect you to be up-to-date with the latest digital technologies and social media trends. You should have excellent communication skills and be able to express our company’s views creatively.

Ultimately, you should be able to handle our social media presence ensuring high levels of web traffic and customer engagement.

• Perform research on current benchmark trends and audience preferences
• Design and implement social media strategy to align with business goals
• Set specific objectives and report on ROI
• Generate, edit, publish and share engaging content daily (e.g. original text, photos, videos and news)
• Monitor SEO and web traffic metrics
• Collaborate with other teams, like marketing, sales and customer service to ensure brand consistency
• Communicate with followers, respond to queries in a timely manner and monitor customer reviews
• Oversee social media accounts’ design (e.g. Facebook timeline cover, profile pictures and blog layout)
• Suggest and implement new features to develop brand awareness, like promotions and competitions
• Stay up-to-date with current technologies and trends in social media, design tools and applications

• Proven work experience as a Social media manager
• Hands on experience in content management
• Excellent copywriting skills
• Ability to deliver creative content (text, image and video)
• Solid knowledge of SEO, keyword research and Google Analytics
• Knowledge of online marketing channels
• Familiarity with web design
• Excellent communication skills
• Analytical and multitasking skills
• BSc degree in Marketing or relevant field