Mathematics

About MyOperator 

MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. 

Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. 

Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount. 

Role Overview 

The AVP – Engineering & Technology will own the entire technology ecosystem of the company end-to-end. This role is responsible for product architecture, engineering execution, AI strategy, platform scalability, security, and technical excellence across all products and services. 

This is a hands-on leadership role with complete accountability—from product vision to production reliability. You will act as the technical custodian of the company, working closely with the CEO, Product, Business, and Customers. 

This role is ideal for entrepreneurial leaders, ex-founders, or senior technologists who have built and scaled products and teams. 

Key Responsibilities 

Technology & Product Ownership 

● Own end-to-end product engineering for all SaaS platforms and AI solutions

● Define and drive technical vision, architecture, and long-term scalability ● Ensure high availability, performance, security, and reliability of platforms

● Translate business vision into robust, scalable technical systems

AI & Innovation Leadership 

● Lead the AI roadmap including LLM-based agents, automation, and intelligence layers

● Drive build vs buy decisions for AI, infra, and tools 

● Ensure responsible, secure, and cost-effective AI adoption 

● Continuously evaluate emerging technologies for competitive advantage Engineering Execution & Delivery 

● Build, mentor, and scale high-performing engineering teams 

● Set engineering standards for code quality, DevOps, testing, and deployment

● Own delivery timelines, tech debt management, and release governance

● Establish strong engineering culture, accountability, and ownership 

Stakeholder & Business Alignment 

● Partner closely with CEO, Product, Sales, and Customer Success

● Support enterprise deals with technical confidence and credibility

● Act as the final escalation point for all technical risks and decisions ● Present technology strategy and progress to leadership and board 

What We’re Looking For 

Experience & Background 

● 10+ years of experience in software engineering and architecture

● Proven experience leading large-scale SaaS platforms 

● Strong exposure to AI/ML, LLMs, APIs, cloud-native architectures ● Experience owning products from 0 → 1 or 1 → scale 

● Prior experience as Founder, Co-founder, CTO, VP Engineering is a strong plus

Leadership & Mindset 

● Entrepreneurial mindset with ownership mentality 

● Ability to think business-first, not just tech-first 

● Comfortable operating in ambiguity and fast-paced environments ● Strong decision-maker with bias toward action 

● Deep sense of accountability and execution excellence

Why Join Us 

● Direct reporting to the CEO with real decision-making power

● Opportunity to shape the technical DNA of a growing AI company

● Build AI agents and SaaS products at scale 

● Potential for long-term leadership growth and wealth creation

● High-impact role with visibility across the organization

REVIEW CRITERIA:

MANDATORY:

• Strong Hands-On AWS Cloud Engineering / DevOps Profile
• Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
• Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
• Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
• Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
• Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
• Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills

ROLE & RESPONSIBILITIES:

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

KEY RESPONSIBILITIES:

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

IDEAL CANDIDATE:

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in Python or Bash
• Understanding of monitoring, incident management, and cloud security basics

NICE TO HAVE:

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

iOS Developer responsible for developing app from scratch.

We are looking to recruit a candidate for a role that will require:

• Translate design and wireframes into code
• Design, build, and maintain high performance, reusable, and reliable code
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Unit testing code
• Experience with cloud message APIs and usage of push notifications

Requirement

∙  2+ years’ strong development experience in iOS

∙  Experience using RESTful web services within mobile applications

∙ Proficient with Swift and Cocoa Touch

∙ Knowledge of iOS UI/UX standards

∙ Understanding of Apple’s design principles and interface guidelines

∙ Experience with code versioning control, such as bitbucket/git

Education: Engineering

Work experience: 2 years relevant experience

Responsibilities

• Take product ideas from ideation to implementation
• Design and develop backend services that expand the capabilities of the product
• Write high quality, structured application/interface code and tests
• Lead engineering discussions to ensure the best practices, maintainability and security of the application
• Participate in design and code reviews

We are looking for

• 3+ years of experience building quality applications
• Proficient in Node JS, NoSQL databases
• Strong working knowledge of Web technologies and APIs
• Passion for best design and coding practices and a desire to develop new bold ideas
• Experience in planning, designing architecture and working with teams
• Experience with SaaS product or an early stage startup is a plus

Role Overview

First and foremost, we're looking for people who are excited about what we're doing—you don't need to know anything about the HRTech ecosystem, but should be excited to learn.

We're looking for a Customer Support Intern to join our Customer Service Team.
The ideal candidate will have excellent verbal and written communication and problem-solving skills, loads of empathy towards customers. This profile requires high efficiency and the ability to document and improve processes that are high on repetition. 

The person in the role will -

• Communicate effectively with internal and external customers via phone, email and chat.

• Attend customer calls to capture notes on customer feedback, action items and next steps.

• Follow up with customers to ensure their technical issues are resolved.

• Evaluate ways to improve customer experience and contribute to development of solutions.

• Liaise with the Operations/ Product/ Sales team.

• Share feature requests and effective workarounds with team members.

• Gather customer feedback and share with our Product, Sales and Marketing teams.
  
  Requirements

  • Candidates must have strong written and verbal communication skills and have a desire to learn more about corporate operations.

  • Strong team building, time management, and organizational skills.

  • Problem solving, creative, organized and detail-oriented.

  • Tackle problems in a creative and logical ways and identify solutions

  • Should be tech savvy.

  • Proficient in using Google Docs, Slides and Sheets.
    
    Note: Please note this is a full time internship opportunity and a person should be available for a minimum of 6 months duration for internship.
    
    

    Benefits

    What’s in it for you?
    
    We are a 100% remote company so work from anywhere in India. At Springworks, we invest in the employee experience. Business is not done alone, but by a team. The greatest asset at Springworks are its people and we are on a mission to build the best, most talented and happiest team we can. To be successful in the longer run we cannot do it without a motivated and energized team.We believe in higher education and life-long learning and provide our employees to learn and upgrade their skills and evolve. Competitive Compensation & Benefits and a good Health scheme to take care of their mental, physical and social wellbeing.
    
    Glassdoor rating of 4.8. You got to read it to believe it:
    https://www.glassdoor.co.in/Overview/Working-at-Springworks-EI_IE1013270.11,22.htm">https://www.glassdoor.co.in/Overview/Working-at-Springworks-EI_IE1013270.11,22.htm
    
    We are a remote first Company thus, complete Work From Anywhere policy is applicable.
    
    Perks:
    
    

    1. Paid Internship (Monthly stipend upto INR: 21,000).
    2. Rewards and recognitions (Surprise gift/Voucher for Intern of the month).
    3. Learning & development budget ( Up to INR 21,000/-).
    4. Monthly reimbursement for Internet expenses - Upto INR 1500.
    5. Yearly OTT reimbursement (up to Rs.1500 per annum).
    6. Fitness reimbursement (Up to Rs. 1000 per month).
    7. Health Insurance.
    8. Food Allowance/ Reimbursement - Rs. 500 added to your payroll - no bills to be uploaded.

    
    See what our past interns have to say about their experience -https://www.youtube.com/watch?v=1G3a-fkMAtU"> Interns @Springworks

     

Job Description

Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.

Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Experience

10+ Years

Location

Bozeman/Hyderabad

Skills

Required Skills:

Bachelors/Masters or Phd in Computer Science or related industry experience

3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow

7+ Years of industry experience in scripting languages such as Python, R.

7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing

Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc

Some experience in setting up large scale training data pipelines.

Some experience in using Cloud services such as AWS, GCP, Azure

Desired Skills:

Experience in building deep learning models for Computer Vision and Natural Language Processing domains

Experience in productionizing/serving machine learning in industry setting

Understand the principles of developing cloud native applications

Responsibilities

Collect, Organize and Process data pipelines for developing ML models

Research and develop novel prototypes for customers

Train, implement and evaluate shippable machine learning models

Deploy and iterate improvements of ML Models through feedback