Freeswitch Developer (Remote)

Company Overview:

Euphoric Thought Technologies is a dynamic and innovative technology company specializing in providing cutting-edge automation solutions for businesses across various sectors. We empower organizations to streamline their processes, enhance efficiency, and achieve significant cost savings through intelligent automation strategies. Our expertise spans across diverse platforms, enabling us to deliver tailored solutions that meet the unique needs of our clients.

Role Overview:

As a Python Automation Developer at Euphoric Thought Technologies, you will be instrumental in designing, developing, and implementing robust automation frameworks and scripts to ensure the quality and reliability of our software solutions. You will collaborate closely with development, QA, and DevOps teams to identify automation opportunities, build efficient test suites, and contribute to continuous integration and continuous delivery (CI/CD) pipelines. Your work will directly impact the speed and quality of our software releases, enabling us to deliver exceptional value to our customers.

Key Responsibilities:

- Design and develop automation frameworks using Python to validate .Net and C# based applications.

- Create and maintain automated test scripts for REST APIs, focusing on JSON data validation.

- Integrate automated tests into CI/CD pipelines using Azure DevOps to ensure continuous testing.

- Collaborate with developers and QA engineers to identify and resolve defects, improving overall software quality.

- Analyze test results and generate comprehensive reports to communicate testing progress and identify areas for improvement.

- Contribute to the development of automation best practices and standards to enhance team efficiency.

- Maintain and enhance existing automation frameworks to adapt to evolving project requirements.

- Participate in code reviews to ensure code quality and adherence to coding standards.

Required Skillset:

- Demonstrated proficiency in Python programming for automation, including experience with relevant libraries and frameworks.

- Solid understanding of software testing principles and methodologies, with experience in developing and executing automated test cases.

- Experience with REST API testing and JSON data validation.

- Familiarity with .Net and C# development environments.

- Experience with Azure DevOps for CI/CD and test automation.

- Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's degree in Computer Science or a related field.

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Company Name - Bhanzu formerly (Exploring Infinities).

Website - https://www.bhanzu.com/ 

Mode- WFO

Job Description:

Roles and Responsibilities:

● Willing to familiarize yourself with the company's vision and mission seeking to accomplish set goals and objectives

● Collating and maintaining client information in the CRM database

● Make calls to clients and respond to callback requests

● Email & WhatsApp conversations with potential leads

● Make potential leads understand our courses

● Convert potential leads into customers

● Learning & using our customer relations management software & others

● Related computer software

Requirements:

● Excellent written and verbal communication skills

● Ability to work under pressure

● Laptop is mandatory

● Willing to work in a startup environment (fast-paced)

● No. of days Working: 6 (Rotational off MON- FRI & Sat and Sun Compulsory working)

• Interacting via various channels, such as live chat, emails, social media and direct calls
• Modifying sales pitches in response to customer demand
• Acquiring and retaining contact information databases
• Put forward suggestions in accordance with the requirements of the consumer
• Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action

• Candidate should have relevant telesales experience
• Candidate should be available for immediate joining
• Responsible for planning, implementing and directing the sales activities of the company in a designated area to achieve sales objectives 2. Develop a sales strategy to achieve organizational sales goals and revenues 3. Sales Closure of hair and skin clients 4. Identify new sale leads 5. Responsible for driving consultation to Location allotted 6. Develop and implement new sales initiatives, strategies and programs. 7. Contacting potential client via email or phone to establish rapport and set up meetings 8. Developing sales goals for the team and ensuring they are met 9. Negotiating on phone, email or in-person 10. To provide report and feedback to upper management about what is and is not working 11. To provide detailed report and feedback to upper management 12. Extensive Follow-up for the Clients allotted 13. Giving client good client experience 14. If & when required need to sit in reception area also
•  

JOB DESCRIPTION

Profile Summary

We are looking for experienced and skilled Frontend (React.Js) Developers to join our
core team. Your primary focus will be the development of new features and refinement of
existing features on user-side.

Responsibilities:

• Ensure product delivery is fast, low-cost and sustainable.
• Take responsibility from development to customer support.
• Build robust and scalable production software.
• Improve quality using code reviews, and unit/integration testing.
• Improve efficiency using automation, and methods like test driven development.

Skills & Qualification:

• 2+ years of experience in software development preferably B2C experience.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Experience in React.Js , Javascript, any experience in React native is a plus
• Experience with popular React workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript (ES6 & ES5 ).
• Familiarity with RESTful APIs.
• Experience in working with the MERN stack or similar frameworks
• Working knowledge of git for version control.
• Understanding of Unix tools.

Experience: 2.5 to 4 years

Location: Pune

About Studily: Optimizing education through personalized learning, Studily is here to empower educators and indulge learners across the globe. Studily uses the Flipped Learning Model to create a student-centric tool that applies artificial intelligence technology to prepare today's schooling system for tomorrow's Education Revolution.

Qualifications

• 2+ years' of experience in web development using NodeJs technologies.
• B.E., B. Tech., Msc IT, MCA etc in Software engineering/ Information technology.

Responsibilities

• Write reusable, testable, and efficient code following best practices (unit testing, source control, continuous integration, automation, design patterns, etc)
• Debug and refactoring of existing code, troubleshoot problems
• Collaborate with other developers, testers and other leads to enhance to quality product enhancements
• Take full responsibility for the quality of the code and test cases that are developed.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Provide task estimations and deliver quality code on time.
• Participate in architectural, design, and product sessions.
• Interact with different stakeholders to gather feedback and clarification.
• Research and apply new technologies and best practices.
• Should enjoy the experience of mentoring new hires on technical and process areas.
• Must have hands-on experience in building Microservices based software architecture. Must have Unix /Docker /Kubernetes /NOSQL experience

Requirements

• Knowledge of ReactJS is preferable.
• Extensive knowledge of JavaScript.
• Thorough understanding of databases such as MySQL, MongoDB or similar technologies
• In depth knowledge of working with Git.
• Experience with Restful APIs, Postman etc.
• Understanding of AWS/EC2, or other cloud services.
• Object-oriented application building experience in a professional Agile/Scrum environment. 
• Good to have Unix /Docker/Kubernetes/NOSQL experience.

Skills

• Node.js
• AWS services
• Deployment 
• Unix /Docker/Kubernetes/NOSQL