972 Transcription Jobs - Page 4

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts.

Job Title: Senior Python Developer – Backend Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 4–8 Years About Darwix AI Darwix AI is building India’s most advanced GenAI-powered platform for enterprise sales teams. We combine speech recognition, LLMs, vector databases, real-time analytics, and multilingual intelligence to power customer conversations across India, the Middle East, and Southeast Asia. We’re solving complex backend problems across speech-to-text pipelines , agent assist systems , AI-based real-time decisioning , and scalable SaaS delivery . Our engineering team sits at the core of our product and works closely with AI research, product, and client delivery to build the future of revenue enablement. Backed by top-tier VCs, AI advisors, and enterprise clients, this is a chance to build something foundational. Role Overview We are hiring a Senior Python Developer to architect, implement, and optimize high-performance backend systems that power our AI platform. You will take ownership of key backend services—from core REST APIs and data pipelines to complex integrations with AI/ML modules. This role is for builders. You’ll work closely with product, AI, and infra teams, write production-grade Python code, lead critical decisions on architecture, and help shape engineering best practices. Key Responsibilities 1. Backend API Development Design and implement scalable, secure RESTful APIs using FastAPI , Flask , or Django REST Framework Architect modular services and microservices to support AI, transcription, real-time analytics, and reporting Optimize API performance with proper indexing, pagination, caching, and load management strategies Integrate with frontend systems, mobile clients, and third-party systems through clean, well-documented endpoints 2. AI Integrations & Inference Orchestration Work closely with AI engineers to integrate GenAI/LLM APIs (OpenAI, Llama, Gemini), transcription models (Whisper, Deepgram), and retrieval-augmented generation (RAG) workflows Build services to manage prompt templates, chaining logic, and LangChain flows Deploy and manage vector database integrations (e.g., FAISS , Pinecone , Weaviate ) for real-time search and recommendation pipelines 3. Database Design & Optimization Model and maintain relational databases using MySQL or PostgreSQL ; experience with MongoDB is a plus Optimize SQL queries, schema design, and indexes to support low-latency data access Set up background jobs for session archiving, transcript cleanup, and audio-data binding 4. System Architecture & Deployment Own backend deployments using GitHub Actions , Docker , and AWS EC2 Ensure high availability of services through containerization, horizontal scaling, and health monitoring Manage staging and production environments, including DB backups, server health checks, and rollback systems 5. Security, Auth & Access Control Implement robust authentication (JWT, OAuth), rate limiting , and input validation Build role-based access controls (RBAC) and audit logging into backend workflows Maintain compliance-ready architecture for enterprise clients (data encryption, PII masking) 6. Code Quality, Documentation & Collaboration Write clean, modular, extensible Python code with meaningful comments and documentation Build test coverage (unit, integration) using PyTest , unittest , or Postman/Newman Participate in pull requests, code reviews, sprint planning, and retrospectives with the engineering team Required Skills & QualificationsTechnical Expertise 3–8 years of experience in backend development with Python, PHP. Strong experience with FastAPI , Flask , or Django (at least one in production-scale systems) Deep understanding of RESTful APIs , microservice architecture, and asynchronous Python patterns Strong hands-on with MySQL (joins, views, stored procedures); bonus if familiar with MongoDB , Redis , or Elasticsearch Experience with containerized deployment using Docker and cloud platforms like AWS or GCP Familiarity with Git , GitHub , CI/CD pipelines , and Linux-based server environments Plus Points Experience working on audio processing , speech-to-text (STT) pipelines, or RAG architectures Hands-on with vector databases or LangChain , LangGraph Exposure to real-time systems, WebSockets, and stream processing Basic understanding of frontend integration workflows (e.g., with HTML/CSS/JS interfaces)

Job description 🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

🚀 Job Title: Full Stack Developer – PHP / Python Company: Darwix AI Location: Gurgaon (On-site Preferred / Hybrid Flexibility) Type: Full-Time Experience: 2–6 years Tech Stack: PHP / Python (Backend), HTML, CSS, JavaScript, MySQL (Database), Git 🌍 About Darwix AI At Darwix AI , we are transforming the world of enterprise sales through real-time conversational intelligence and AI-driven sales coaching. Our GenAI-powered suite delivers multilingual voice-to-text transcription, real-time nudges, agent assist, and sales analytics—empowering revenue teams across India, the Middle East, and Southeast Asia to close faster and better. We are backed by top-tier VCs and over 30+ industry leaders and are building the future of AI for sales from India to the world. As we scale globally, we’re looking for driven engineers to help us build high-impact, scalable systems. 🎯 Role Overview We are looking for a Full Stack Developer who is confident working across both backend and frontend layers , with solid expertise in PHP and/or Python , and who can build, integrate, and scale mission-critical applications from the ground up. As a full stack engineer, you’ll work on everything from real-time data pipelines, admin dashboards, CRM integrations, agent interfaces, AI integrations, and powerful backend APIs—used by thousands of reps in sales, banking, and retail every day. This role is hands-on, execution-driven, and designed for someone who thrives in a high-growth startup with a strong ownership mindset. 🧠 Key Responsibilities 1. Backend Engineering (PHP/Python) Build and maintain backend services, APIs, and admin systems using PHP (Laravel/Core) and/or Python (Flask/Django/FastAPI). Optimize queries, server logic, and response times for high-traffic systems. Integrate with AI and ML services, authentication layers, and third-party APIs (CRMs, VOIP, WhatsApp, etc.). 2. Frontend Development Build responsive UIs using HTML, CSS, Bootstrap, JavaScript, and jQuery. Integrate backend APIs and data pipelines into usable UI components. Work with Mustache templating or explore React.js for dynamic dashboards. 3. Database Design & Data Handling Work with MySQL (preferred) and MongoDB (optional) to build efficient schemas, stored procedures, and scalable data models. Write optimized SQL queries, manage indexing, and ensure performance tuning. 4. DevOps & Version Control Use Git and GitHub for version control, code collaboration, and CI/CD. Deploy applications on AWS EC2 and manage live server interactions (code push, rollback, backup). 5. Moodle Customization (Preferred) (Bonus) Experience with Moodle-based development for LMS/enablement modules. Plugin development, UI customization, and API integration for learning platforms. 6. Cross-functional Collaboration Work closely with product managers, AI engineers, and frontend specialists to define feature scope and execution roadmap. Collaborate with QA team for test case automation, release cycles, and user testing. ✅ Desired Skills and Qualifications 2–6 years of experience as a Full Stack Developer , preferably in SaaS or B2B product companies. Proficient in Core PHP / Laravel and/or Python frameworks (Django, Flask, FastAPI). Strong grip on HTML, CSS, Bootstrap, JavaScript, jQuery . Proficient in working with MySQL or similar relational databases. Hands-on experience with Git, GitHub, and basic Linux command line. Comfortable working with API integrations (REST, Webhooks, etc.). Bonus: Experience with Docker , Moodle , Mustache , React.js , ElasticSearch . 🧠 Who Will Succeed in This Role You enjoy writing clean, scalable, and maintainable code—and take full ownership of your modules. You’ve built full-stack applications that are live in production environments. You understand business logic as deeply as backend logic—and optimize for usability and performance. You’re comfortable learning new tools and scaling systems across diverse enterprise requirements. You want to build in a fast-paced startup that puts product quality and user impact above everything. 💼 What We Offer Competitive salary and performance-based growth path. Equity potential based on long-term contributions. Mentorship from ex-founders and engineers from top product and AI companies. The opportunity to build for India, MENA, and global clients across industries. Work on AI-integrated systems , real-time agent assist, analytics, transcription, and more. A flat, high-ownership culture where you ship, you learn, you grow. 📬 How to Apply Email your resume and links to past projects (GitHub, portfolio) to: 📩 people@darwix.ai Subject: Application for Full Stack Developer – PHP/Python Darwix AI We’re building AI that sells. And the platform that powers it. www.darwix.ai

Job description 🚀 Job Title: ML Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the ML Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in / vishnu.sethi@cur8.in Subject Line: Application – ML Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

Job Title: Senior Python Developer Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 3–8 years About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, transforming enterprise sales with our GenAI-powered conversational intelligence and real-time agent assist suite. Our platform is used by high-growth enterprises across India, MENA, and Southeast Asia to improve sales productivity, personalize customer conversations, and unlock revenue intelligence in real-time. We are backed by marquee VCs, 30+ angel investors, and led by alumni from IITs, IIMs, and BITS with deep experience in building and scaling products from India for the world. Role Overview As a Senior Python Developer at Darwix AI, you will be at the core of our engineering team, leading the development of scalable, secure, and high-performance backend systems that support AI workflows, real-time data processing, and enterprise-grade integrations. This role requires deep technical expertise in Python, a strong foundation in backend architecture, and the ability to collaborate closely with AI, product, and infrastructure teams. You will take ownership of critical backend modules and shape the engineering culture in a rapidly evolving, high-impact environment. Key Responsibilities System Architecture & API Development Design, implement, and optimize backend services and microservices using Python frameworks such as FastAPI, Django, or Flask Lead the development of scalable RESTful APIs that integrate with frontend, mobile, and AI systems Architect low-latency, fault-tolerant services supporting real-time sales analytics and AI inference Data Pipelines & Integrations Build and optimize ETL pipelines to manage structured and unstructured data from internal and third-party sources Integrate APIs with CRMs, telephony systems, transcription engines, and enterprise platforms like Salesforce, Zoho, and LeadSquared Lead scraping and data ingestion efforts from large-scale, dynamic web sources using Playwright, BeautifulSoup, or Scrapy AI/ML Enablement Work closely with AI engineers to build infrastructure for LLM/RAG pipelines , vector DBs , and real-time AI decisioning Implement backend support for prompt orchestration , Langchain flows , and function-calling interfaces Support model deployment, inference APIs, and logging/monitoring for large-scale GenAI pipelines Database & Storage Design Optimize database design and queries using MySQL , PostgreSQL , and MongoDB Architect and manage Redis and Kafka for caching, queueing, and real-time communication DevOps & Quality Ensure continuous delivery through version control (Git), CI/CD pipelines, testing frameworks, and Docker-based deployments Identify and resolve bottlenecks related to performance, memory, or data throughput Adhere to best practices in code quality, testing, security, and documentation Leadership & Collaboration Mentor junior developers and participate in code reviews Collaborate cross-functionally with product, AI, design, and sales engineering teams Contribute to architectural decisions, roadmap planning, and scaling strategies Qualifications 4–8 years of backend development experience in Python, with a deep understanding of object-oriented and functional programming Hands-on experience with FastAPI , Django , or Flask in production environments Proven experience building scalable microservices, data pipelines, and backend systems that support live applications Strong command over REST API architecture , database optimization, and data modeling Solid experience working with web scraping tools , automation frameworks, and external API integrations Knowledge of AI tools like Langchain , HuggingFace , Vector DBs (Pinecone, Weaviate, FAISS) , or RAG architectures is a strong plus Familiarity with cloud infrastructure (AWS/GCP) , Docker, and containerized deployments Comfortable working in fast-paced, high-ownership environments with shifting priorities and dynamic problem-solving

🧠 Job Title: Senior Machine Learning Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 4–8 years Education : B.Tech / M.Tech / Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields 🚀 About Darwix AI Darwix AI is India's fastest-growing GenAI SaaS startup, building real-time conversational intelligence and agent-assist platforms that supercharge omnichannel enterprise sales teams across India, MENA, and Southeast Asia. Our mission is to redefine how revenue teams operate by using Generative AI, LLMs, Voice AI , and deep analytics to deliver better conversations, faster deal cycles, and consistent growth. Our flagship platform, Transform+ , analyzes millions of hours of sales conversations, gives live nudges, builds AI-powered sales content, and enables revenue teams to become truly data-driven — in real time. We’re backed by marquee investors, industry veterans, and AI experts, and we’re expanding fast. As a Senior Machine Learning Engineer , you will play a pivotal role in designing and deploying intelligent ML systems that power every layer of this platform — from speech-to-text, diarization, vector search, and summarization to recommendation engines and personalized insights. 🎯 Role Overview This is a high-impact, high-ownership role for someone who lives and breathes data, models, and real-world machine learning. You will design, train, fine-tune, deploy, and optimize ML models across various domains — speech, NLP, tabular, and ranking. Your work will directly power critical product features: from personalized agent nudges and conversation scoring to lead scoring, smart recommendations, and retrieval-augmented generation (RAG) pipelines. You’ll be the bridge between data science, engineering, and product — converting ideas into models, and models into production-scale systems with tangible business value. 🧪 Key Responsibilities🔬 1. Model Design, Training, and Optimization Develop and fine-tune machine learning models using structured, unstructured, and semi-structured data sources. Work with models across domains: text classification, speech transcription, named entity recognition, topic modeling, summarization, time series, and recommendation systems. Explore and implement transformer architectures, BERT-style encoders, Siamese networks, and retrieval-based models. 📊 2. Data Engineering & Feature Extraction Build robust ETL pipelines to clean, label, and enrich data for supervised and unsupervised learning tasks. Work with multimodal inputs — audio, text, metadata — and build smart representations for downstream tasks. Automate data collection from APIs, CRMs, sales transcripts, and call logs. ⚙️ 3. Productionizing ML Pipelines Package and deploy models in scalable APIs (using FastAPI, Flask, or similar frameworks). Work closely with DevOps to containerize and orchestrate ML workflows using Docker, Kubernetes, or CI/CD pipelines. Ensure production readiness: logging, monitoring, rollback, and fail-safes. 📈 4. Experimentation & Evaluation Design rigorous experiments using A/B tests, offline metrics, and post-deployment feedback loops. Continuously optimize model performance (latency, accuracy, precision-recall trade-offs). Implement drift detection and re-training pipelines for models in production. 🔁 5. Collaboration with Product & Engineering Translate business problems into ML problems and align modeling goals with user outcomes. Partner with product managers, AI researchers, data annotators, and frontend/backend engineers to build and launch features. Contribute to the product roadmap with ML-driven ideas and prototypes. 🛠️ 6. Innovation & Technical Leadership Evaluate open-source and proprietary LLM APIs, AutoML frameworks, vector databases, and model inference techniques. Drive innovation in voice-to-insight systems (ASR + Diarization + NLP). Mentor junior engineers and contribute to best practices in ML development and deployment. 🧰 Tech Stack🔧 Languages & Frameworks Python (core), SQL, Bash PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost, LightGBM 🧠 ML & AI Ecosystem Transformers, RNNs, CNNs, CRFs BERT, RoBERTa, GPT-style models OpenAI API, Cohere, LLaMA, Mistral, Anthropic Claude FAISS, Pinecone, Qdrant, LlamaIndex ☁️ Deployment & Infrastructure Docker, Kubernetes, GitHub Actions, Jenkins AWS (EC2, Lambda, S3, SageMaker), GCP, Azure Redis, PostgreSQL, MongoDB 📊 Monitoring & Experimentation MLflow, Weights & Biases, TensorBoard, Prometheus, Grafana 👨‍💼 Qualifications🎓 Education Bachelor’s or Master’s degree in CS, AI, Statistics, or related quantitative disciplines. Certifications in advanced ML, data science, or AI are a plus. 🧑‍💻 Experience 4–8 years of hands-on experience in applied machine learning. Demonstrated success in deploying models to production at scale. Deep familiarity with transformer-based architectures and model evaluation. ✅ You’ll Excel In This Role If You… Thrive on solving end-to-end ML problems — not just notebooks, but deployment, testing, and iteration. Obsess over clean, maintainable, reusable code and pipelines. Think from first principles and challenge model assumptions when they don’t work. Are deeply curious and have built multiple projects just because you wanted to know how something works. Are comfortable working with ambiguity, fast timelines, and real-time data challenges. Want to build AI products that get used by real people and drive revenue outcomes — not just vanity demos. 💼 What You’ll Get at Darwix AI Work with some of the brightest minds in AI , product, and design. Solve AI problems that push the boundaries of real-time, voice-first, multilingual enterprise use cases. Direct mentorship from senior architects and AI scientists. Competitive compensation (₹30L–₹45L CTC) + ESOPs + rapid growth trajectory. Opportunity to shape the future of a global-first AI startup built from India. Hands-on experience with the most advanced tech stack in applied ML and production AI. Front-row seat to a generational company that is redefining enterprise AI. 📩 How to Apply Ready to build with us? Send your resume, GitHub/portfolio, and a short write-up on: “What’s the most interesting ML system you’ve built — and what made it work?” Email: people@darwix.ai Subject: Senior ML Engineer – Application 🔐 Final Notes We value speed, honesty, and humility. We ship fast, fail fast, and learn even faster. This role is designed for high-agency, hands-on ML engineers who want to make a difference — not just write code. If you’re looking for a role where you own real impact , push technical boundaries, and work with a team that’s as obsessed with AI as you are — then Darwix AI is the place for you. Darwix AI – GenAI for Revenue Teams. Built from India, for the World.

Key Responsibilities: Transcription: Converting voice recordings of medical professionals (doctors, nurses, etc.) into written documents, such as patient histories, discharge summaries, and operative reports. Review and Editing: Reviewing and editing medical documents created using speech recognition software, ensuring accuracy and clarity. Medical Terminology Expertise: Demonstrating a strong understanding of medical terminology, anatomy, and pharmacology to accurately interpret and transcribe medical information. Formatting and Proofreading: Ensuring that transcriptions are formatted according to industry standards and proofreading for grammar, punctuation, and spelling errors. Record Management: Managing and organizing medical records, potentially involving electronic health record (EHR) systems. Compliance: Adhering to confidentiality regulations, such as HIPAA, and maintaining patient privacy. Collaboration: Potentially interacting with healthcare providers to clarify information and ensure accurate documentation. Required Skills: Listening Skills: Excellent auditory skills to accurately understand and interpret dictation. Typing Skills: Proficiency in typing with speed and accuracy. Medical Terminology Knowledge: A strong foundation in medical language and terminology. Attention to Detail: Meticulous attention to detail to ensure accuracy in medical records. Computer Skills: Familiarity with transcription equipment, software, and EHR systems. Communication Skills: Ability to communicate effectively with healthcare providers and other team members. Time Management: Ability to prioritize tasks and manage workload effectively. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Experience: Medical transcription: 2 years (Preferred) Work Location: In person

Job Title : Web App Developer (AI-Accelerated Development & Internal Automation) Location : Chennai, India (Remote/Hybrid options available) Department : Technology & Automation Reporting To : CEO / Operations Head Experience : 2 to 5 Years Employment Type : Full-time / Contract-to-Hire About The Company Vanan Online Services, is a multi-brand digital service provider operating across transcription, translation, captioning, and typing domains, with a global presence in the U. and India. We build internal tools and workflows that automate our daily operations, improve turnaround times, and enhance visibility across teams. To keep pace with our growing operational needs, were hiring a Web App Developer with strong AI-assisted development skills, capable of delivering multiple lightweight web apps under quick turnaround times. Position Overview We are seeking a Web App Developer with hands-on experience in building functional web applications quickly and independently. The ideal candidate is skilled in using modern development frameworks and comfortable leveraging AI tools to speed up coding, troubleshooting, and feature development. This role involves working closely with leadership to understand operational pain points and transforming them into lightweight, efficient web tools that support internal workflows. Youll have the flexibility to recommend and use both full-code and no-code stacks based on the nature of the requirement. Key Responsibilities Collaborate with leadership to gather requirements and understand business use cases. Design and develop internal-use web applications tailored to specific workflows. Build And Deploy Tools Such As Internal dashboards. Task and project trackers. Lead/order management modules. Notification and reporting utilities. Use ChatGPT (Advanced) To Generate boilerplate, functional, and test code. Plan features and troubleshoot logic, identify bugs. Refactoring code with AI feedbacks. Plan features and optimize workflows. Build faster through prompt engineering. Select appropriate tech stacks (code or no-code) depending on the app scope. Manage lightweight backends using platforms like Firebase or Supabase. Conduct basic QA, testing, and validation prior to deployment. Ensure apps are intuitive, reliable, and meet internal usability expectations. Handle multiple small-to-mid scale development requests simultaneously. Required Skills & Qualifications Solid understanding of HTML, CSS, JavaScript, and frameworks such as React.js, Vue.js, or Svelte. Working knowledge of Node.js, Firebase, Supabase, or similar backend services. Experience with RESTful APIs and third-party service integration. Proficiency in using AI-based development tools (e.g., ChatGPT) to assist in code writing, refactoring, and debugging. Strong analytical and communication skills to interpret requirements and translate them into functional software. Ability to work independently in a fast-paced environment without day-to-day oversight. Track record of shipping usable products or tools under tight timelines Preferred Skills Familiarity with no-code/low-code platforms (e.g., Bubble, Webflow, Glide, AppGyver, Retool). Experience using automation platforms like Zapier, Make.com, or n8n. Basic UI/UX design sense for creating clean, user-friendly interfaces. Exposure to internal systems such as CRMs, ERPs, or other business tools. Why Join Us ? Immediate impact : Your work will be used daily across teams to enhance productivity and workflow efficiency. Innovation-driven environment : Use cutting-edge tools like ChatGPT to accelerate development. Autonomy & ownership : You'll have the freedom to choose tech stacks and manage your own development process. Collaborative leadership : Work directly with decision-makers, gaining insight and context to build better products. Flexible work model : Options for remote or hybrid work tailored to your preferences. (ref:hirist.tech)

Apply Now Job Title Associate, Real Time Management Job Description Concentrix is a technology-enabled global business services company specializing in customer engagement and improving business performance. We partner with ambitious, progressive executives around the world to future-proof their business and stay ahead of the competition and customer expectations. Role And Key Responsibilities Provide troubleshooting support for all Tier one and Tier two escalations and coordination for all global inbound and outbound systems and call routing issues. Participates in Rapid Response calls to minimize system downtime, and regular updates to all levels of senior management of a global perspective. Recognize and initiate escalation for all system difficulties, including switch and ACD systems, routing systems, and Tier One production impacting tool outages inclusive of client communication. Documents all incidents using the service management suite and notifies impacted stakeholders. Manages call volume and labor resources for inbound/outbound call centers, while maintaining and exceeding Organization’s and client goals and expectations. Monitor designated call centers through various internal and external platforms, instituting timely and efficient communication to verify allocation settings, queue settings, overflow targets, media events, and transcription campaigns. Monitor toll free call routing plans using a variety of routing platforms provided by various carriers. Recommends and implements queue, DNIS priority and holdout adjustments through the various network carrier platforms and switch packages ensuring to achieve established goals. Analyze and monitor statistical information in a timely manner to achieve proper call allocation goals, reforecasting demand and staffing. Recommends strategies to Operations to improve labor utilization and key performance indicators. Performs routine assignments in the entry level of the Professional Career Band. Uses existing procedures to solve routine or standard problems. Typically requires a college or university degree or the equivalent work experience that provides knowledge and exposure to fundamental theories, principles and concepts. Develops competence by performing structured work assignments. Receives instruction, guidance and direction from others. Key Skills & Knowledge Bachelor's degree in related field with a minimum of two years of work experience. Relevant experience preferred. Basic knowledge of the call center industry. Basic understanding of the financial impact of all decisions made within the call center/Command Center (i.e.; system downtime; overtime; home early; utilization; percent answered; etc.). Knowledge of ACD and Call Center Workforce applications preferred. Strong communication skills, both written and verbal. Proficient in Microsoft Office. Ready to work in a dynamic 24*7 environment handling international programs/clients. Ability to multi-task, prioritize, and meet timelines of deliverables. Self-starter, sense of urgency, and works well under pressure. Strong attention to detail and sense of professionalism and ability to develop business relationships. Educational Qualification : Graduation Disclaimer:- 'Neither Concentrix nor any authorized 3rd party who assist with our recruitment process, ever ask candidates for ‘recruitment’, ‘processing’ or any other kind of fees in exchange for offer letters from Concentrix. Offer letters and other recruiting correspondence from Concentrix are printed on Concentrix letter head with authentic signatures of appropriate Concentrix authorities.' Location: IND Bangalore - Ecospace Bus Park Language Requirements Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents Apply Now

Seeking a skilled Android App Developer with 3+ years of experience in Kotlin, Java, and Android frameworks. Must be capable of embedding Python modules, integrating advanced features like voice recording & transcription, and optimizing performance. Experience with Firebase, REST APIs, and CI/CD is preferred. Key Skills: • Android Development: Kotlin, Java, Android SDK, Jetpack (ViewModel, LiveData, Navigation). • Advanced Integrations: Embedding Python modules, third-party libraries, and APIs. • Voice & Speech: Voice recording, speech-to-text, and transcription features (e.g., Google Speech API). • Backend Connectivity: RESTful APIs, Firebase, JSON, push notifications, and analytics. • Performance & CI/CD: App optimization, debugging, Git, CI/CD pipelines, and Play Store publishing.

ALP Nishikawa Company Ltd. is looking for Receptionist to join our dynamic team and embark on a rewarding career journey Greet and welcome guests as soon as they arrive at the office Direct visitors to the appropriate person and office Answer, screen and forward incoming phone calls Ensure reception area is tidy and presentable, with all necessary stationery and material (e.g. pens, forms and brochures) Provide basic and accurate information in-person and via phone/email Receive, sort and distribute daily mail/deliveries Maintain office security by following safety procedures and controlling access via the reception desk (monitor logbook, issue visitor badges) Order front office supplies and keep inventory of stock Update calendars and schedule meetings Arrange travel and accommodations, and prepare vouchers Keep updated records of office expenses and costs Perform other clerical receptionist duties such as filing, photocopying, transcribing and faxing

The ALP Group is looking for Receptionist to join our dynamic team and embark on a rewarding career journey Greet and welcome guests as soon as they arrive at the office Direct visitors to the appropriate person and office Answer, screen and forward incoming phone calls Ensure reception area is tidy and presentable, with all necessary stationery and material (e.g. pens, forms and brochures) Provide basic and accurate information in-person and via phone/email Receive, sort and distribute daily mail/deliveries Maintain office security by following safety procedures and controlling access via the reception desk (monitor logbook, issue visitor badges) Order front office supplies and keep inventory of stock Update calendars and schedule meetings Arrange travel and accommodations, and prepare vouchers Keep updated records of office expenses and costs Perform other clerical receptionist duties such as filing, photocopying, transcribing and faxing

Job Title: Associate, Real Time Management Job Description Concentrix is a technology-enabled global business services company specializing in customer engagement and improving business performance. We partner with ambitious, progressive executives around the world to future-proof their business and stay ahead of the competition and customer expectations. Role and Key Responsibilities: Provide troubleshooting support for all Tier one and Tier two escalations and coordination for all global inbound and outbound systems and call routing issues. Participates in Rapid Response calls to minimize system downtime, and regular updates to all levels of senior management of a global perspective. Recognize and initiate escalation for all system difficulties, including switch and ACD systems, routing systems, and Tier One production impacting tool outages inclusive of client communication. Documents all incidents using the service management suite and notifies impacted stakeholders. Manages call volume and labor resources for inbound/outbound call centers, while maintaining and exceeding Organization’s and client goals and expectations. Monitor designated call centers through various internal and external platforms, instituting timely and efficient communication to verify allocation settings, queue settings, overflow targets, media events, and transcription campaigns. Monitor toll free call routing plans using a variety of routing platforms provided by various carriers. Recommends and implements queue, DNIS priority and holdout adjustments through the various network carrier platforms and switch packages ensuring to achieve established goals. Analyze and monitor statistical information in a timely manner to achieve proper call allocation goals, reforecasting demand and staffing. Recommends strategies to Operations to improve labor utilization and key performance indicators. Performs routine assignments in the entry level of the Professional Career Band. Uses existing procedures to solve routine or standard problems. Typically requires a college or university degree or the equivalent work experience that provides knowledge and exposure to fundamental theories, principles and concepts. Develops competence by performing structured work assignments. Receives instruction, guidance and direction from others. Key skills & knowledge: Bachelor's degree in related field with a minimum of two years of work experience. Relevant experience preferred. Basic knowledge of the call center industry. Basic understanding of the financial impact of all decisions made within the call center/Command Center (i.e.; system downtime; overtime; home early; utilization; percent answered; etc.). Knowledge of ACD and Call Center Workforce applications preferred. Strong communication skills, both written and verbal. Proficient in Microsoft Office. Ready to work in a dynamic 24*7 environment handling international programs/clients. Ability to multi-task, prioritize, and meet timelines of deliverables. Self-starter, sense of urgency, and works well under pressure. Strong attention to detail and sense of professionalism and ability to develop business relationships. Educational Qualification : Graduation Disclaimer:- 'Neither Concentrix nor any authorized 3rd party who assist with our recruitment process, ever ask candidates for ‘recruitment’, ‘processing’ or any other kind of fees in exchange for offer letters from Concentrix. Offer letters and other recruiting correspondence from Concentrix are printed on Concentrix letter head with authentic signatures of appropriate Concentrix authorities.' Location: IND Bangalore - Ecospace Bus Park Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1620795

AI / ML Engineer – Multilingual Voice AI Systems Location: Noida- Onsite Experience: 3–6 Years Type: Full-Time/Contractual Reporting To: Solution Architect / Technical Director We’re building a multilingual, AI-driven voice assistant for phone-based booking via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity). The system must interact naturally in multiple global languages, making it a first-of-its-kind solution in our product stack. Role Overview We're seeking a practical AI/ML Engineer to lead the speech AI and multilingual NLP components of a voice automation platform. You’ll design and integrate Speech-to-Text, LLM/NLU, and Text-to-Speech systems that support dynamic phone conversations in multiple languages. Key Responsibilities Design, train, or integrate multilingual NLP pipelines to support dynamic conversations using: LLMs (OpenAI GPT, LLaMA 3, Ollama, or Azure OpenAI) STT/TTS services (Google Cloud, Azure Speech, Whisper, etc.) Configure language detection, intent recognition, and fallback flows Create multilingual prompt engineering logic and fine-tune models (if needed) Ensure STT/LLM/TTS works effectively with real-time voice streams via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity) Support integration of fallback IVR-style flows when AI fails Work closely with .NET engineers and backend team to wire up API-based workflows Assist in evaluating trade-offs between cloud APIs vs self-hosted models Optimize voice latency, transcription quality, and conversational UX Help set up language-specific voice personas with TTS (tone, pitch, accent) Must-Have Skills Experience building or integrating conversational AI or voicebots Strong knowledge of NLP, multilingual text handling, and LLM usage Hands-on integration with: OpenAI / Hugging Face / Ollama / LangChain Google Speech / Azure STT & TTS / Whisper Good understanding of international language encoding, accents, and noise handling Python fluency (NLTK, transformers, speech SDKs, etc.) Ability to work with APIs (REST, JSON, async jobs) Good-to-Have Skills Knowledge of telephony APIs (Ozonetel / Exotel / Twilio / Knowlarity) Familiarity with audio pipelines (e.g., audio capture, normalization, latency tuning) Experience with language-specific nuances like: Arabic TTS tokenization Hindi/Urdu word splitting Nigerian Pidgin vs standard English handling Prior experience with voice UX design or multilingual chatbot building Familiarity with Whisper fine-tuning or custom STT model training Qualifications Bachelor’s / Master’s in CS, Data Science, AI, or equivalent 3–6 years in AI/ML product development with focus on NLP, STT, or TTS Past experience in multilingual bot or voice system is highly preferred Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 3 months Work Location: In person

Role/Experience/Education: ● 12-month full-time contract position, annotating or labeling medical terms from different medical documents & clinical encounters to produce a dataset for machine learning purposes. ● Requires a degree in nursing, pharmacy, social work or medicine ● One year of clinical experience is preferred. ● Experience with medical billing and/or transcription of prescriptions/reports/other relevant medical documents a plus. ● Passion for improving lives through healthcare & a great work ethic. ● Experience in reading clinical notes, extracting meaningful pieces of clinical information and coding medical terms to different medical ontologies. (SNOMED, LOINC, RxNorm) ● Strong ability to understand the medical history of any patient. ● Excellent English reading comprehension & communication skills. ● Computer Literacy ● Ability to work night shifts ● Okay to work from the office Benefits: ● Good Compensation ● Exposure to working with innovative companies in healthcare & AI Job Types: Part-time, Contractual / Temporary Contract length: 12 months Pay: ₹18,000.00 - ₹45,000.00 per month Schedule: Fixed shift Night shift Education: Bachelor's (Preferred) Experience: Clinical: 1 year (Preferred) Shift availability: Night Shift (Preferred) Work Location: In person

Responsibilities : Ability to research and collect data Transcribing information from recordings and manually entering data into spreadsheets or databases Responsible for sorting and processing data. Reviewing data for accuracy and making changes if necessary, including identifying errors and making corrections Developing and maintaining data and information – reorganizing data in a readable format Performing analysis to assess quality and meaning of data Compile, verify accuracy, and sort information according to priorities to prepare source data for computer entry Creating rules to validate data input Communicating with other departments within the organization to ensure that data is being processed correctly Analysing data to determine trends or patterns. Skills : Strong understanding of Microsoft Word , Microsoft Excel or similar database software. Excellent typing and transcription skills Ability to research and collect data Qualification : Any Graduate

Chennai, Tamil Nadu, India Language Services Full-time Description: Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands. Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. This is Acolad - Content That Empowers, Anywhere. Acolad Content Solutions India Private Limited Sai Samuthra Plot No. 41B & 41 C North Phase 1st Floor, Sidco Industrial Estate Ekkatuthangal, Chennai-600032 Landmark: Near Ekkatuthangal Overbridge (Jaya TV Office) Phone: 04466841999 The Job Role: We are currently seeking Project Manager for AI Data Services to join our expanding team in the APAC/IST region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets. This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence. Key Responsibilities: Project Ownership: Lead the full lifecycle of large-scale AI data projects from initiation to completion. Team Coordination: Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration. Client Engagement: Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving. Risk & Quality Management: Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes. Resource & Budget Management: Allocate resources efficiently and manage project budgets to meet timelines and deliverables. Process Optimization: Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes. Remote Project Execution: Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress. Requirements: Tool & Tech Requirements: Reliable high-speed internet connection Functional phone or VoIP service for team and client communication Access to a computer with up-to-date software (Windows/Mac) Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom) Required Qualifications and Skills: High School Diploma or University Degree 5+ years of experience in project management , preferably in AI/data services or a related industry Leadership and stakeholder management skills Excellent command of English (written and spoken) Advanced proficiency in Microsoft Office Suite , particularly Excel Strong organizational, analytical, and problem-solving abilities Comfortable working independently and making data-driven decisions Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities Strong grasp of AI data annotation, collection, validation, and transcription workflows Nice to Have (Preferred Skills) Knowledge of scripting languages (e.g., Python, R ) for automation or data handling Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Understanding of basic data structures and modeling concepts Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.) Benefits: National and Festival Holidays Five days work week Medical Insurance

About The Role We are seeking a highly motivated and creative Platform Engineer with a true research mindset. This is a unique opportunity to move beyond traditional development and step into a role where you will ideate, prototype, and build production-grade applications powered by Generative AI. You will be a core member of a platform team, responsible for developing both internal and customer-facing solutions that are not just functional but intelligent. If you are passionate about the MERN stack, Python, and the limitless possibilities of Large Language Models (LLMs), and you thrive on building things from the ground up, this role is for you. Core Responsibilities - Full-Stack Engineering : Write clean, scalable, and robust code across the MERN stack (MongoDB, Express.js, React, Node.js) and Python. AI-Powered Product Development : Create and enhance key products such as : Intelligent chatbots for customer service and internal support. Automated quality analysis and call auditing systems using LLMs for transcription and sentiment analysis. AI-driven internal portals and dashboards to surface insights and streamline workflows. Gen AI Integration & Optimization : Work hands-on with foundation LLMs, fine-tuning custom models, and implementing advanced prompting techniques (zero-shot, few-shot) to solve specific business problems. Research & Prototyping : Explore and implement cutting-edge AI techniques, including setting up systems for offline LLM inference to ensure privacy and performance. Collaboration : Partner closely with product managers, designers, and business stakeholders to transform ideas into tangible, high-impact technical solutions. Required Skills & Experience Experience : 2-5 years of professional experience in a software engineering role. Full-Stack Proficiency : Strong command of the MERN stack (MongoDB, Express.js, React, Node.js) for building modern web applications. Python Expertise : Solid programming skills in Python, especially for backend services and AI/ML workloads. Generative AI & LLM Experience (Must-Have) Demonstrable experience integrating with foundation LLMs (e.g., OpenAI API, Llama, Mistral, etc.). Hands-on experience building complex AI systems and implementing architectures such as Retrieval-Augmented Generation (RAG) to ground models with external knowledge. Practical experience with AI application frameworks like LangChain and LangGraph to create agentic, multi-step workflows. Deep understanding of prompt engineering techniques (zero-shot, few-shot prompting). Experience or strong theoretical understanding of fine-tuning custom models for specific domains. Familiarity with concepts or practical experience in deploying LLMs for offline inference. R&D Mindset : A natural curiosity and passion for learning, experimenting with new technologies, and solving problems in novel ways. Bonus Points (Nice-to-Haves) Cloud Knowledge : Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker). (ref:hirist.tech)

Technical Skills: Proficient on escription, eSOne / Emdat & Fluency for Transcription (FFT) Platform. Location: Hyderabad Work Mode: Currently work from Home, must be ready to work from office as per Business Requirements. Eligibility criteria: Any Undergraduate, Graduate or Post-graduate Should be trained, preferably certified and a relevant work experience with minimum 2 years as a Medical Transcriptionist/ Editor. Must be able to coordinate with managers and team. Members to ensure adequate client/customer support coverage. Must have excellent time management skills. Must be able to maintain multiple site information and must be able to multitask. Must be ready to work in a 24/7 environment with majority of time working in evening/ night shifts. Must be ready to work with week off(s) other than weekends. Work experience as a medical transcriptionist/editor on a variety of medical specialties and work types. Experience and knowledge of other transcription platforms would be an added advantage. Walkin Interview Timings: Monday to Friday (1 PM to 6 PM) Office Address: R1RCM Private Limited, 1st floor (Wing B), Building No. 2, M/S NSL SEZ (Hyderabad) Private Limited, IT/ITES/SEZ at IDA Uppal, Hyderabad 500039, Telangana, India. Interview Coordination: Yellammagari Mounica - ymounica@r1rcm.com (9346946436)

Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions Desirable Hands on exposure to using cloud Azure GCP AWS services for storage serverless logic search transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters Bachelors degree in Computer Science or Statistics or Mathematics

AVTAAR ELECTRIC HUB PRIVATE LIMITED is looking for Receptionist to join our dynamic team and embark on a rewarding career journey Greet and welcome guests as soon as they arrive at the office Direct visitors to the appropriate person and office Answer, screen and forward incoming phone calls Ensure reception area is tidy and presentable, with all necessary stationery and material (e.g. pens, forms and brochures) Provide basic and accurate information in-person and via phone/email Receive, sort and distribute daily mail/deliveries Maintain office security by following safety procedures and controlling access via the reception desk (monitor logbook, issue visitor badges) Order front office supplies and keep inventory of stock Update calendars and schedule meetings Arrange travel and accommodations, and prepare vouchers Keep updated records of office expenses and costs Perform other clerical receptionist duties such as filing, photocopying, transcribing and faxing

Organization Manager | Permanent Contract | MUMBAI | India | Cr dit Agricole Carri res Necessary They help to make a website usable by allowing for basic functions such as page navigation and access to secure parts of the Website. The Website cannot function properly without these cookies. Show details PHPSESSID (groupecreditagricole.jobs) Saves the configuration of the user s settings through page requests Cookies expire at the end of the session Statistiques They help the owners of the Website, by collecting and communicating information anonymously, to allow them to understand how visitors interact with the website. _ga (groupecreditagricole.jobs) Creates a unique identifier used to generate statistical data about how you use the Website Cookies expire after 13 months _gid () Creates a unique identifier used to generate statistical data about how you use the Website Cookies expire after 1 day Managing Cookies A cookie is a file that does not allow the identification of the Website user, but which records information relating to computer browsing on a website. The data obtained by cookies are intended to facilitate browsing on the website and also to enable various site traffic measurements. Type de contrat : Modified on 21/07/2025 Num ro de loffre : Job description To achieve the Business Continuity Objectives of the Organization. Ensure completeness of recurrent tasks on BCM / ISS as per guided by Region & Head Office (HO). Contribute to the various projects driven globally. Conduct some projects in autonomy. Handle the KPI/KRI and specific related tasks for the various platforms within CASPL. Compl ment Annually conduct the Data Recovery Test and ensure proper co-ordination between vendor site & Business. To ensure seamless communication between business and IT teams locally to mirror Production Site with Data Recovery site. Lead and facilitate execution of the plan and support plan navigation for the business at the time of an event. Responsible to implement security related projects locally which are driven by HO/Region with appropriate coordination with Local IT Team & Business. Ensure some ISS recurrent tasks and notably controls as part of the yearly roadmap which are set for the various Business Lines are coordinated seamlessly & implemented locally during the said time frame Knowledge of IT & Operations Audit methodology. Application criteria Starting date 01/07/2025 Position with management No Minimum level of study Bachelor Degree / BSc Degree or equivalent Training / Specialization Minimum Bachelor s degree or Higher.Knowledge of IT & Operations Audit methodology. 7 to 10 years breadth of exposure to operations production & technology environment and/or various Line of Business environments within the Banking Industry or MNC s. Minimum experience level 6-10 years Skills needed Business Continuity Management: Information System Security Controls:Project Management: Company Cr dit Agricole CIB About Cr dit Agricole Corporate and Investment Bank (Cr dit Agricole CIB) Cr dit Agricole CIB is the corporate and investment banking arm of Cr dit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022). 8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Banks clients, meeting their financial needs throughout the world. Cr dit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade. The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients. By working every day in the interest of society, we are a Group committed to diversity and inclusion and place people at the heart of all our transformations. All our job offersare open to persons with disabilities. For more information, please visit www.ca-cib.com Twitter: https://twitter.com/ca_cib LinkedIn: https: / / www.linkedin.com / company / credit-agricole-cib / By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities. Cr dit Agricole CIB R sum de l offre Cr dit Agricole CIB Published the 10/04/2025 These offers may interest you! How would you like to apply Upload your CV and cover letter in .doc, .docx, .pdf, .txt, .rtf, .odt, .html or .png format, weighing less than 2mo only. Register or log in to your Cr dit Agricole Recrutement account to fill in the application form, as well as your CV and track your applications. I dont have an account yet This application will be deleted. Do you wish to continue This action will be irreversible. You will not be able to apply to this offer

United Automobiles is looking for Service Receptionist to join our dynamic team and embark on a rewarding career journey Greet and welcome guests as soon as they arrive at the office Direct visitors to the appropriate person and office Answer, screen and forward incoming phone calls Ensure reception area is tidy and presentable, with all necessary stationery and material (e.g. pens, forms and brochures) Provide basic and accurate information in-person and via phone/email Receive, sort and distribute daily mail/deliveries Maintain office security by following safety procedures and controlling access via the reception desk (monitor logbook, issue visitor badges) Order front office supplies and keep inventory of stock Update calendars and schedule meetings Arrange travel and accommodations, and prepare vouchers Keep updated records of office expenses and costs Perform other clerical receptionist duties such as filing, photocopying, transcribing and faxing