Business development Manager

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

·      The Objective:

You will play a crucial role in designing, implementing, and maintaining our data infrastructure, run tests and update the systems

·      Job function and requirements

o  Expert in Python, Pandas and Numpy with knowledge of Python web Framework such as Django and Flask.

o  Able to integrate multiple data sources and databases into one system.

o  Basic understanding of frontend technologies like HTML, CSS, JavaScript.

o  Able to build data pipelines.

o  Strong unit test and debugging skills.

o  Understanding of fundamental design principles behind a scalable application

o  Good understanding of RDBMS databases among Mysql or Postgresql.

o  Able to analyze and transform raw data.

·      About us

Mitibase helps companies find warm prospects every month that are most relevant, and then helps their team to act on those with automation. We do so by automatically tracking key accounts and contacts for job changes and relationships triggers and surfaces them as warm leads in your sales pipeline.

The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor. 

Responsibility 

• Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies 
• Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies 
• Develop, curate and maintain training datasets for AI models 
• Label large datasets for supervised learning of AI models 
• Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives

• Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data. 
• Experience in developing training datasets for AI models and data labelling for supervised learning of AI models. 
• Excellent attention to detail 
• Customer advisory experience preferably in data security domain 
• Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus. 
• Broad knowledge of operationalizing data security, regulations and standards will be an advantage 
• Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
• Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
• Graduate/Post Graduate in Engineering discipline from premium institute 

JD-

MySQL - DBA L3 Support

# 7 -10  years of experience in MySQL, handled multiple versions & flavors of MySQL servers both for standalone & enterprise version, Data center and VM/Cloud setup.

# Strong database Configuration and troubleshooting / problem solving skills.

# Strong knowledge of database backup and recovery concepts and practices.

# Enabling disabling scheduled Jobs on MySQL Server

# Work with Dev and DevOps engineers to ensure that all needed data is gathered and provided to them for any performance issues

# Experience in managing both on-prem DB as well as VM / cloud based DBs

# Maintenance of backups (perform backups, monitor backup, report obsolete backups)

# Maintenance of user access (creating user accounts, dropping user accounts, granting privileges)

# Maintenance of log and trace files (remove, initialize, archive them)

# Knowledge on SQL scripts

# Managing Database administration includes Daily health checks, Database tuning, Query optimization & Backup & Replication

# Experience in alert configurations using existing alerting tools or scripts

Responsibilities

• Deliver end to end quality and automation independently using agile methodologies
• Translate deep insight of architecture, product, specifications into a robust test plan covering all aspects of testing including functional, reliancy, performance, load, scalability and security. 
• Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine
• Develop robust test automation that is reliable and maintainable and provides accurate assessment of product quality
• Integrate test automation scripts into build system for repeatable execution
• Collaborate with other engineering and customer success functions to simulate customer data and usage patterns  to execute test runs, identify and  fix customer issues and make sure that customers get highly reliable, reliant and optimized Dremio experience 
• Analyze and debug customer issues in customer environments.
• Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation

Basic Requirements

• B.Tech/M.Tech/Equivalent in Computer Science or a related technical field 
• 8+ years of QA/automation engineering experience on large scale distributed systems
• Deep understanding in Authentication, Single Sign-on and Identity Management systems like AWS IAM, Azure AD, Ping, Okta and Auth0
• Hands on experience in testing Role based Access Control Authorization Model in Cloud and Database Systems
• Proficiency in any of Java/C++/Python/Go and automation frameworks
• Hands on experience in integration of automation using CI/CD tools like Jenkins
• Experience in planning and executing QA/Automation tasks to completion and taking ownership of quality during a set of sprints.
• Experience in designing, implementing, executing and analyzing automated  tests for complex, production system software.
• Experience in analyzing deep product issues and following issue resolution 
• Hands on experience of working projects on AWS, Azure and Google Cloud Platform 
• Understanding of distributed file systems like S3 or ADLS or HDFS and HIVE
• Hands on experience with various Backend/UI automation frameworks and tools

• Ability to create reusable components to automate repeatable, manual activities

• Ability to write technical reports and summary and present to leadership team
• Passion for learning and delivering using latest technologies
• Excellent communication skills and affinity for collaboration and teamwork
• Passion and ability to work in a fast paced and agile development environment.

Preferred Qualification 

• Hands on experience of multi-threaded and asynchronous programming models
• Hands on experience in Data Lake and Catalog systems

Dear Candidate,

We are HIRING AT SIMFORM
Please find the details as below:

Simform is a fast-growing software services company mainly serving and having a presence in North America. Simform has built a solid work culture that is focused on learning, growth, and work-life balance. Simform is well-known for its very good work culture and loved by employees.

Please find the details of the job:

Our MEAN stack team is passionate about technology, and we love building scalable web solutions keeping performance in mind.We're looking for a full stack developer that has experience developing a variety of Web Apps using the MEAN stack. You should be able to comfortably move between the client and server-side code written with JavaScript/TypeScript.

Role + Responsibilities:   

• Work with the team to design, develop and support scalable applications         
• Implementing elegant, intuitive user experience using the latest front-end technologies.         
• Developing API's and designing the data architecture using web frameworks like Express.         
• Write, test, and release production-ready code.         
• Work with our DevOps team to ensure continuous deployments of our applications

Person Specification and Qualifications:

• Experience developing highly scalable services and APIs         
• Knowledge of data modelling and database performance using NoSQL/SQL         
• Strong experience with JS frameworks like Express(any other backend framework), Angular.         
• Familiarity developing SaaS applications in AWS/Azure         
• In-depth knowledge of designing and developing software in distributed architectures for multi-tier applications

Plus points if you're familiar with the following:

• Experience with deployment and CI/CD is a plus!       
• TypeScript implementation with Frontend or Backend applications         
• Knowledge of GraphQL and it's libraries like Apollo, Prisma         
• Have worked with Jest, Enzyme like testing libraries         
• Knowledge of document, key/value or other non-relational database systems such as Elastic Search, Redis, HBase, BigTable, DynamoDB

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Social Media Expert

Description:

Are you intimately familiar with the LinkedIn algorithm? Do you specialize in growing brand following on Twitter? Are you proficient in defining and executing social media strategies for Quora, Reddit, Instagram, and Facebook?  We’re looking for an expert with a solid understanding of how each social media channel works and how to optimize content so that it is engaging. As the B2B Digital Marketing Specialist, you will also be responsible for organizing and producing content that follows our clients’ brand guidelines.

Competencies:

• Consistent and self-driven to learn about social media platforms and trends. 
• Strong creative storytelling skills with a focus on visual and content aesthetics.

Skills:

• Working knowledge of SMM tools like Hootsuite, Moz, Loomly, etc.
• Working knowledge of design applications like Adobe Suite, Canva, etc., and other video editing tools.
• Adept at digital tools like Facebook Insights, Twitter Analytics, Google Analytics/Google Ad Manager.
• Adept at communicating in a professional, but unique social media “voice” for each client; directly aligned with the clients’ thought leadership and content platform.

Experience:

• Demonstrable B2B social networking experience and social analytics tools.
• Experience in managing multiple digital marketing campaigns with the ability to analyze and make recommendations on performance.
• Strong understanding of social media KPIs, keyword optimization tools, and social media algorithms.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in the B2B domain. Please share only case studies of growth where the strategy and execution were owned end-to-end by you. Shortlisting will be followed by a video interview.