11+ Voice recognition Jobs in Bangalore (Bengaluru) | Voice recognition Job openings in Bangalore (Bengaluru)

React Developer+Basic Understanding In Angular (Immediate Joiner)

Location: Bangalore

Experience: 3+ Years

About the Role:

We are looking for a skilled React Developer with 3+ years of experience to join our team immediately. The ideal candidate should have strong expertise in React.js along with a basic understanding of Angular. You will be responsible for developing user interface components and implementing them following well-known React workflows.

Key Responsibilities:

• Develop and maintain responsive web applications using React.js
• Build reusable components and front-end libraries for future use
• Translate UI/UX designs into high-quality code
• Optimize applications for maximum performance across devices and browsers
• Collaborate with backend developers and cross-functional teams
• Participate in code reviews and ensure best practices are followed
• Assist in debugging and resolving technical issues
• Work on minor enhancements or support tasks in Angular-based modules (if required)

Required Skills & Qualifications:

• 3+ years of hands-on experience in React.js development
• Strong proficiency in JavaScript, HTML5, CSS3
• Experience with state management libraries (Redux / Context API)
• Familiarity with RESTful APIs and integration
• Basic knowledge or exposure to Angular
• Understanding of responsive design and cross-browser compatibility
• Good problem-solving and communication skills

Preferred Skills:

• Experience with TypeScript
• Knowledge of modern front-end build pipelines and tools (Webpack, Babel, etc.)
• Familiarity with version control systems like Git

Joining Requirement:

• Immediate joiners or candidates with short notice period (0–15 days) preferred

JOB DESCRIPTION

Senior Product Manager (Technical)

Real-time AI Platform  ·  Enterprise B2B  ·  Multi-Vertical

Company: ableCredit

Location: Bangalore

Reports to: CEO / Co-founder

Team: Engineering, AI/ML, Enterprise Customer Success

Stage: Post-PMF, Pre-Scale

About ableCredit

ableCredit is a GenAI infrastructure company built for enterprises where human conversations drive high-stakes decisions. Our real-time AI co-pilot platform listens to live conversations, guides front-line agents through structured workflows, and captures everything into compliant, structured outputs — automatically.

Why This Role Exists -

This role exists to solve three specific problems:

• Shipping cadence: We build good things but ship unpredictably. We need someone who can install a culture of weekly releases, clear ownership, demo days, and “what shipped this week” accountability.
• AI leverage: We need someone who sees these opportunities instinctively: POC onboarding, SOP configuration, customer telemetry analysis.
• Alignment: The person in this role becomes the connective tissue between Business, engineering, and management - translating customer urgency into engineering priorities without losing either side’s trust.

What You’ll Own

Product Execution & Shipping Culture

• Own the product roadmap for the core ableCredit platform across BFSI, insurance, healthcare, and BPO verticals.
• Install and run a predictable shipping rhythm: sprint planning, release cadence, demo days, weekly “what shipped” updates to the company.
• Own the prioritisation framework: what gets built, what gets deferred, and why. Communicate tradeoffs clearly to engineering, sales, and leadership.

Technical Product Leadership

• Work directly with the engineering and AI teams on architecture decisions, latency tradeoffs, model selection, and evaluation frameworks for AI features.
• Review telemetry dashboards, debug production issues alongside engineers, and read API documentation when integrating with client systems.
• Make platform vs. vertical-specific tradeoffs: know when a feature request genuinely needs custom work and when it’s a configuration problem.

AI as Internal Leverage

• Identify internal workflows that should be automated or agent-powered: POC onboarding, SOP configuration, customer health monitoring, QA of conversation outputs.
• Stay current on AI capabilities (agentic frameworks, evaluation methods, prompt engineering at scale) and translate them into practical product decisions.

Enterprise Customer & Cross-Functional Alignment

• Be the single point of truth between what customers need, what sales has promised, and what engineering is building.
• Join customer calls and on-site visits. Understand the reality of a credit officer in Coimbatore or a branch executive in Nagpur using the product in the field.
• Build a visible, credible roadmap that sales can sell from and customers can plan around .

What We’re Looking For

Non-Negotiables

• 5–8+ years in product management, with at least 2 years shipping AI-powered or data-heavy products to enterprise B2B customers.
• Technical fluency: You’ve written production code at some point in your career. Today, you can read a Grafana dashboard and spot a latency spike, review a PR for product correctness, navigate API docs independently, and check telemetry without filing a ticket. Engineers see you as a technical peer, not a business translator.
• AI product judgment: You understand the difference between AI-as-product and AI-as-infrastructure. You’ve made decisions about model selection, prompt engineering, evaluation frameworks, and graceful degradation in production. Bonus: you’ve built or shipped agentic workflows.
• Shipping culture builder: You’ve joined a team that was building good things but shipping unpredictably, and you changed that. You can describe exactly what you did in the first 90 days.

Strong Preferences

• Multi-vertical or horizontal platform experience: You’ve worked on a product that serves multiple industries and have dealt with “build once, configure many” vs. “this vertical needs something custom” tensions.
• India enterprise context: Comfort with BFSI, regulated industries, or India-specific enterprise sales cycles. You understand that deploying in Tier-2/3 India is a different operating environment than a Valley SaaS playbook.
• Internal AI adoption: Evidence of using AI, automation, or agentic tools to improve your own team’s velocity — not just building AI products for customers.

Nice-to-Haves

• Experience with real-time systems: audio/video streaming, low-latency pipelines, multilingual NLP.
• Startup experience at a comparable stage (post-PMF, pre-scale, 20–80 people).
• Familiarity with Indian language tech, voice AI, or field-force enablement products.

Why Join ableCredit Now

• The AI is real. This isn’t a company that slapped “AI-powered” on a dashboard. Real-time transcription, multilingual voice models, agentic workflows - in production, at scale, in one of the hardest operating environments on earth.
• The expansion is genuinely exciting: four new verticals, a new global product, and 7x revenue growth targeted in a single year.
• You’ll work directly with the founding team, strong engineers, and demanding customers who actually want the product to succeed.

Compensation & Logistics

• Competitive salary + meaningful equity (early-stage, pre-Series A).
• Location:Bangalore, in-office, with occasional travel to customer sites.
• This is a leadership hire. You’ll have a seat at the table on company strategy, not just product decisions.

• Any programming knowledge (Python/ Java/ Scala)
• Good Experience Elastic search, Kibana, Logstash
• Knowledge on Dev Ops
• Preferable :- AWS or any cloud knowledge
• Ansible, Kibana any visualization tools

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.

Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.

Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.

Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers

Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field

● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

● Generate loan leads from the partnered institutions, open market and through different channels on the field.
● Develop and maintain relationships with partnered institutions and repeat business
and referral/s.
● Arrange and plan events to generate leads, and handle product queries and
service issues in the partnered institutions.
● Meet clients, verify documents, process files, coordinate for sanction /
disbursement of loans, personalized service to clients.
● Ensure the achievement of a given business target in your territory.

Experience: 1year+ in Banking sales such as personal loans, and home loans.

• Design and implementation of low-latency, high-availability, and performant applications
• Developing new features & refining existing features on server-side
• Implementation of security and data protection
• Integration of data storage solutions

• Proficient in NodeJS and experience working on frameworks such as Express, StrongLoop, etc.
• 2+ years experience working on consumer mobile products / businesses at scale.
• Proficient in asynchronous programming and its quirks and workarounds
• Experience working on User Authentication and Authorisation between multiple systems, servers, and environments
• Experience working on NoSQL DBs such as MongoDB
• Experience working on Unit Testing & Functional Testing frameworks for NodeJS

• become a part of our early team, and shape products from grounds up
• Attractive Compensation & Stock Options
• empowered to build an amazing startup culture with us
• full ownership and massive growth opportunities
• and more...