961 Transcription Jobs - Page 3

Role Description: An MRI, CT, ultrasound, and X-ray Medical Transcriptionist at Ezewok Healthcare plays a crucial role in the accurate documentation of radiological investigations. The position involves transcribing and editing diagnostic imaging reports — including MRI, CT, ultrasound, and X-ray — to ensure timely, error-free, and properly formatted outputs for radiologists and referring physicians. The role requires a keen eye for detail, excellent language skills, and a strong understanding of medical terminology. It also demands flexibility, as the position includes rotational day and night shifts to support 24/7 radiology operations. Role : Medical Transcriptionist (Radiology Typist) Department : Healthcare & Life Sciences Industry: Radiology / Medical Services Company : Ezewok Healthcare LLP Employment Type : Full Time Location: Noida, Uttar Pradesh, India Key Responsibilities: Transcription: Accurately transcribe MRI, CT, ultrasound, and X-ray findings from verbal dictations, handwritten notes, or draft reports into clear, structured written reports. Data Entry: Enter patient demographics, clinical history, and procedure details into the internal reporting system or Electronic Health Records (EHR). Formatting & Editing: Ensure reports follow standard formatting guidelines, are well-organized, grammatically correct, and free of typographical or factual errors. Record Keeping: Maintain an organized digital record of all reports, ensuring easy access, retrieval, and compliance with documentation protocols. Patient Documentation: Assist in the proper handling and digital filing of patient documentation related to radiology procedures. Qualifications & Experience: Education: Graduate in any discipline. Certification in medical transcription or radiology reporting will be an added advantage. Experience: Minimum 1–2 years in radiology transcription or typing preferred, particularly in a teleradiology setup. Freshers with good skills may also apply. Key Skills: Strong typing speed with high accuracy Familiarity with medical and radiological terminology Basic understanding of diagnostic modalities MRI, CT, ultrasound, and X-ray Proficiency in using MS Office and medical software systems Good communication and comprehension skills Ability to work under tight deadlines and in shifts (if required) Note: Candidates with prior experience in radiology or hospital-based radiology departments will be given preference. To Apply Send your resume at hiring@ezewok.com

Job Title: Senior Backend & DevOps Engineer (AI-Integrated Products) Location: Remote Employment Type: Full Time/Freelance/Part Time Work Hours: Flexibile Work Timing About Us: We’re building AI-powered products that seamlessly integrate technology into everyday routines. We're now looking for a Senior Backend & DevOps Engineer who can help us scale Mobile Apps globally and architect the backend for it, while owning infrastructure, performance, and AI integrations. Responsibilities: Backend Engineering: Own and scale the backend architecture (Node.js/Express or similar) for Mobile Apps Build robust, well-documented, and performant APIs Implement user management, session handling, usage tracking, and analytics Integrate 3rd-party services including OpenAI, Whisper, and other LLMs Optimize app-server communication and caching for global scale DevOps & Infrastructure: Maintain and scale AWS/GCP infrastructure (EC2, RDS, S3, CloudFront/CDN, etc) Set up CI/CD pipelines (GitHub Actions preferred) for smooth deployment Monitor performance, set up alerts, and handle autoscaling across regions Manage cost-effective global infra scaling and ensure low-latency access Handle security (IAM, secrets management, HTTPS, CORS policies, etc) AI & Model Integration: Integrate LLMs like GPT-4, Mistral, Mixtral, and open-source models Support fine-tuning, inference pipelines, and embeddings Build offline inference support and manage transcription workflows (Whisper, etc) Set up and optimize vector DBs like Qdrant, Weaviate, Pinecone Requirements: 4+ years of backend experience with Node.js, Python, or Go 2+ years of DevOps experience with AWS/GCP/Azure, Docker, and CI/CD Experience deploying and managing AI/ML pipelines, especially LLMs and Whisper Familiarity with vector databases, embeddings, and offline inference Strong understanding of performance optimization, scalability, and observability Clear communication skills and a proactive mindset Bonus Skills: Experience working on mobile-first apps (React Native backend knowledge is a plus) Familiarity with Firebase, Vercel, Railway, or similar platforms Knowledge of data privacy, GDPR, and offline sync strategies Past work on productivity, journaling, or health/fitness apps Experience self-hosting LLMs or optimizing AI pipelines on edge/cloud Please share(Optional): A brief intro about you and your experience Links to your GitHub/portfolio or relevant projects Resume or LinkedIn profile Any AI/infra-heavy work you’re particularly proud of Contact : subham@binaryvlue.com

About Vcheck Vcheck is a human-led, technology-enabled due diligence background check firm, annually conducting over 18,000 international investigations. We specialize in risk-based assessments for lending, investments, KYC, vendor onboarding, M&A, IPOs, executive placements, and overall third-party portfolio risk. Our hybrid approach delivers the financial and reputational intelligence needed for confident decision-making. Founded in 2012 and based in New York City, Vcheck has experienced rapid growth, industry recognition, and five consecutive appearances on the Inc. 5000 list. About The Role The Manager, Due Diligence will play a critical role in overseeing and optimizing the operations of our Due Diligence investigative teams. This position is responsible for providing strategic direction and leadership to Associate Managers and their teams of investigators, ensuring the delivery of high-quality, complex investigations, including standard domestic reports, special research projects, and client-specific analyses. The Manager will uphold company policies, industry guidelines, and regulatory compliance, with a strong focus on meeting Key Performance Indicators (KPIs) and exceeding client satisfaction targets through robust qualitative and quantitative measures. This is a fully onsite position in our Pune office. What You'll Be Doing Oversee daily operations of the Due Diligence department, including workflow management, resource allocation, and troubleshooting complex investigative challenges. Lead and mentor a team of Associate Managers and Leads, fostering their professional development and ensuring consistent performance across all investigative teams. Serve as a primary point of escalation for Associate Managers and their teams regarding intricate investigations, client inquiries, and operational issues. Strategically plan and optimize workflow processes to enhance efficiency, eliminate bottlenecks, and ensure timely completion of all investigations. Develop, track, and analyze comprehensive Key Performance Indicator (KPI) metrics for the entire Due Diligence department, providing regular reports to senior leadership. Conduct performance reviews and provide constructive feedback to Associate Managers, identifying trends and implementing strategies for continuous improvement across individual contributors and teams. Establish and maintain a regular meeting schedule with Associate Managers, including bi-weekly 1:1s and monthly team meetings, to discuss performance, challenges, and departmental goals. Drive the implementation and establishment of new department initiatives, collaborating directly with senior leadership to align with organizational objectives. Partner with project teams to ensure the Due Diligence function's alignment with solution scope and to maintain stringent requirements traceability for all projects. Oversee and, as needed, personally conduct detailed public record due diligence investigations on individuals and entities for critical investment and lending purposes, ensuring accuracy and compliance. Ensure the production of accurate, precise reporting across the department, consistently meeting and exceeding established KPIs and client expectations. Manage and cultivate relationships with outside third-party firms for document retrieval, court runner services, and specialized research, ensuring efficient and effective support for investigations. Contribute to the development and refinement of departmental policies, procedures, and best practices, ensuring compliance with all relevant regulations, including FCRA. Perform other duties as assigned About You Key requirements: We're looking for someone who is passionate about joining a diverse team and is driven to achieve results through ownership, process optimization, and upstanding character. If this describes you, we encourage you to apply, even if you don't meet every requirement listed. Bachelor's degree in Criminal Justice, Political Science, International Studies, or a related field. 5+ years of progressive experience in a relevant field, with a strong focus on complex investigations. 3+ years of proven management experience, specifically leading and developing teams in a due diligence or investigative capacity. Experience working with a US based company strongly preferred. Extensive public record investigation experience, encompassing criminal records, civil records, regulatory filings, and complex legal documents. In-depth knowledge and practical application of FCRA regulations and other relevant compliance frameworks. Demonstrated ability to thrive in a fast-paced, high-pressure environment, expertly prioritizing workloads and balancing multiple, competing deadlines. Exceptional discretion and experience handling highly confidential and sensitive information. Proficiency with due diligence databases such as LexisNexis, Westlaw, TLO, and other specialized research tools. Proven ability to work both independently and collaboratively within a dynamic team environment, fostering cross-functional cooperation. Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without a reasonable accommodation: While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard. Specific vision abilities required by this job include close vision requirements due to computer work. Why us? You Will Be Joining a Cutting-edge Company, Where You Will Tackle Complex Challenges And Work With The Very Best In The Industry. In Addition, We Offer Competitive compensation package Comprehensive benefits, including GHI coverage for you & your loved ones Flexible vacation policy, encouraging you to take the time you need Comfortable shift(s) to maintain work life balance Annual wellness allowance to support your health and well-being Quarterly team events, fun team activities monthly happy hours to refresh mind and soul. A fun and collaborative work environment where you'll be supported by a team of dedicated and collaborative colleagues Additional equipment support, if needed, for your workplace A vital role in shaping our company's future Please be aware that Vcheck uses AI-powered note-taking, interview recording, and transcription tools to ensure accuracy and efficiency during our talent acquisition processes. By participating in the application and interview stages, you acknowledge and consent to the use of these technologies. Vcheck is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ancestry, religion, sex, age, national origin, sexual orientation, gender identity, disability, genetic information, veteran status, or any other factor protected by applicable law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, transfer, leave of absence, compensation, benefits, and training. Vcheck expressly prohibits discrimination and harassment of any kind based on race, color, ancestry, religion, sex, age, national origin, sexual orientation, gender identity, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. No matter what background you bring with you, if you are committed to excellence and good at what you do, we welcome you to apply to join us and encourage you to come as you are.

About Vcheck Vcheck is a human-led, technology-enabled due diligence background check firm, annually conducting over 18,000 international investigations. We specialize in risk-based assessments for lending, investments, KYC, vendor onboarding, M&A, IPOs, executive placements, and overall third-party portfolio risk. Our hybrid approach delivers the financial and reputational intelligence needed for confident decision-making. Founded in 2012 and based in New York City, Vcheck has experienced rapid growth, industry recognition, and five consecutive appearances on the Inc. 5000 list. About The Role This apprenticeship offers a valuable opportunity to gain practical experience in IT operations, troubleshooting, and user support within a dynamic environment. Please note: This overview provides a general understanding of potential learning opportunities and responsibilities. The specific duties and projects for an apprentice at Vcheck may evolve based on business needs and the apprentice's development. The successful candidate will be responsible for, among other duties, the following: Providing first-level technical support to end-users (hardware, software, network issues). Assisting with the installation, configuration, allocation and maintenance of computer systems and peripherals. Troubleshooting common IT problems and escalating complex issues to senior support staff. Supporting network connectivity and basic server operations. Perform other duties as assigned. About You Key requirements: We're looking for someone who is passionate about joining a diverse team and is driven to achieve results through ownership, process optimization, and upstanding character. If this describes you, we encourage you to apply, even if you don't meet every requirement listed. A recent graduate in Information Technology, Computer Science, or a related technical field. Foundational understanding of operating systems (Windows, macOS), basic networking concepts, and common office applications. Good communication and interpersonal skills, with a customer-service orientation. Eagerness to learn new technologies and adapt to evolving IT environments. Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without a reasonable accommodation: While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard. Specific vision abilities required by this job include close vision requirements due to computer work. Why us? You Will Be Joining a Cutting-edge Company, Where You Will Tackle Complex Challenges And Work With The Very Best In The Industry. In Addition, We Offer Hands-on experience in a real-world IT support setting. Mentorship from experienced IT professionals. Exposure to various IT systems, software, and infrastructure. A supportive learning environment focused on skill development. Please be aware that Vcheck uses AI-powered note-taking, interview recording, and transcription tools to ensure accuracy and efficiency during our talent acquisition processes. By participating in the application and interview stages, you acknowledge and consent to the use of these technologies. Vcheck is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ancestry, religion, sex, age, national origin, sexual orientation, gender identity, disability, genetic information, veteran status, or any other factor protected by applicable law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, transfer, leave of absence, compensation, benefits, and training. Vcheck expressly prohibits discrimination and harassment of any kind based on race, color, ancestry, religion, sex, age, national origin, sexual orientation, gender identity, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. No matter what background you bring with you, if you are committed to excellence and good at what you do, we welcome you to apply to join us and encourage you to come as you are.

LOCATION: Remote — India Preferred (global applicants welcome) If you haven’t built and scaled an AI-powered product from 0-1 to meaningful ARR, iterated LLM prototypes into production software, and shipped products end-to-end that have at least 500 k+ concurrent users, this role isn’t for you. We’re looking for a senior builder who writes production code every day, lives inside Cursor and Windsurf, and thrives in ultra-fast startup loops. Our AI company has been around for 5+ years and is scaling aggressively in the financial data and primary market research spaces. About The Company Our client is an AI tech startup (5+ years old) specializing in financial datasets. The company utilises human in the loop workflows with proprietary software that ingests large audio and text datasets—earnings-call recordings, research transcripts, market data feeds—and produces structured outputs used in market-intelligence workflows. They are rapidly scaling into the financial services sector, which represents a significant growth opportunity, and are seeking a technical leader to spearhead this initiative. Role Overview As a Senior Full Stack Engineer , you will report directly to the CEO or the Head of Engineering and play a pivotal role in driving our expansion into the financial services market. You will lead the development and scaling of our AI solutions specifically tailored for financial institutions while providing strategic technical leadership across the organization. You will move from prototype to production on a weekly cadence, measure performance, and keep the codebase deployable at all times. This hands-on role requires you to architect and implement advanced LLM and RAG systems while deeply understanding the unique requirements of financial services clients. You'll bridge technical execution with strategic vision, developing solutions that address specific challenges in financial document processing, compliance, and due diligence workflows. The position is 80% hands-on development and requires high proficiency with Cursor, Windsurf or an equivalent IDE. Key Responsibilities 1. AI Product Development for Financial Services • Architect and develop specialized AI solutions for financial document transcription, analysis, and processing • Design and implement custom RAG systems optimized for financial terminology and document structures • Build secure, compliant, and auditable AI pipelines that meet financial industry standards • Lead the development of our financial services product roadmap from concept to significant revenue 2. Strategic Technical Leadership • Partner with the CEO and leadership team on technical strategy and execution • Identify innovative applications of AI technology in financial due diligence, reporting, and analysis • Translate strategic objectives into technical requirements and implementation plans • Drive cross-functional alignment on technical priorities and resource allocation 3. Hands-On Implementation & Engineering Excellence • Write production-level code in Python and other relevant languages for our financial services solutions • Implement scalable AI architectures, retrieval systems, and real-time processing workflows • Design cloud-native infrastructure that meets the security and compliance requirements of financial institutions • Guide engineering teams on best practices for financial AI application development 4. Financial Services Domain Expertise • Apply deep understanding of financial services workflows to inform technical solutions • Ensure our AI systems meet regulatory requirements for financial data processing • Architect solutions that integrate seamlessly with existing financial technology stacks • Develop features that address specific pain points in financial document management and due diligence 5. Team Enablement & Organizational Impact • Serve as a technical advisor to the CEO on AI strategy and financial services opportunities • Mentor engineering teams on AI implementation and financial domain knowledge • Foster a culture of engineering excellence and continuous innovation • Represent the company's technical capabilities with key financial services clients and partners Who You Are You have founded or been an early engineer at a startup that scaled from 0-1 to significant ARR You have deep experience implementing LLM and RAG solutions in production environments You understand the financial services landscape and have built technical solutions for this sector You are a hands-on technical leader who codes regularly while providing strategic direction You thrive in a fast-moving, high-impact environment and are comfortable with ambiguity Qualifications 1. Technical Expertise • 10+ years full stack software engineering; 2+ years deploying LLM-based systems. • Proven track record implementing production-grade LLM and RAG solutions • Daily user of Cursor and Windsurf; comfortable scripting custom extensions. • Very competent understanding of MCP and experiencing build integrations with major LLMs • Strong coding abilities in Python (Sanic); React (MUI) and other relevant frameworks • Experience with secure cloud infrastructure (AWS, GCP, Azure) for financial applications • Knowledge of vector databases (FAISS, Pinecone, Weaviate) and optimization techniques 2. Financial Services Experience • Direct experience building technology solutions for financial institutions • Understanding of financial due diligence processes and documentation requirements • Knowledge of compliance and security considerations in financial technology • Experience with financial document processing, extraction, and analysis 3. Startup & Leadership Experience • Proven success scaling a product from concept to significant revenue • Experience in high-pace organisations (YC or equivalent) is preferred. • Comfortable working asynchronously across time zones. • Strong bias toward clear documentation and direct feedback. • Experience leading technical teams in fast-paced environments • Strategic thinking balanced with hands-on execution capabilities • Track record of shipping products that deliver measurable business value What We Offer A strategic leadership role shaping the future of AI applications in financial services A rapidly growing startup with significant expansion plans Direct collaboration with the CEO on company vision and technical strategy Competitive compensation Flexible, remote-friendly work environment How to Apply Please submit your resume and a cover letter that specifically addresses: Your experience scaling AI products from 0-1 to significant revenue Your hands-on implementation of LLM/RAG solutions in production (Add a short note describing one LLM prototype you moved to production and the measurable result. Applications are reviewed weekly.) Your background in financial services and understanding of the due diligence ecosystem If you are passionate about building AI-native products for financial services and driving innovation in a high-growth startup, we'd love to hear from you!

JOB DESCRIBTION 1. Knowledge of word processors, like Microsoft Word. Excellent typing and transcription skills, including typing at fast speeds. 2.Knowledge of word processors, like Microsoft Word. Excellent typing and transcription skills, including typing at fast speeds. 3. Prepares source data for computer entry by compiling and sorting information. 4 .Establishes entry priorities. Job Type: Full Company: OMEGA ITES SOLUTIONS HQ Location: DUM DUM, West Bengal Job Summary: We are seeking a highly motivated and experienced Site Supervisor to oversee the daily operations of our projects in all over India. Applicant must be comfortable in visiting sites all over India. The successful candidate will be responsible for managing all on-site activities, ensuring adherence to safety protocols, and coordinating with construction workers, subcontractors, and clients. Responsibilities: · Project Management: Oversee all on-site supervision activities, ensuring projects are executed according to plans and specifications. · Team Leadership: Supervise and guide construction workers, including assigning tasks, providing training, and resolving issues. · Safety Compliance: Monitor and enforce adherence to safety protocols, ensuring a safe working environment for all personnel on-site. · Quality Control: Inspect work progress and ensure adherence to quality standards. · Communication: Liaise with clients, subcontractors, and other stakeholders, keeping them informed of project progress. · Budget Management: Track project expenses and report on budget adherence. · Scheduling: Monitor and manage project schedules, ensuring timely completion of milestones. · Inventory Management: Manage and track inventory of building materials and supplies. Qualifications: · Minimum educational requirement, :- High School Diploma or equivalent]. · Years of experience:- 0-6 years · Strong leadership, communication, and organizational skills. · Proficiency in reading and understanding construction plans and specifications. · Ability to manage multiple projects and prioritize tasks effectively. · Experience with software and technology.

Senior AI Research Scientist Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 6–10 years in applied AI/ML research, with multiple publications or patents and demonstrable product impact Apply: careers@darwix.ai Subject Line: Application – Senior AI Research Scientist – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform that powers real‑time conversation intelligence, multilingual coaching, and behavioural analytics for large revenue and service teams. Our products— Transform+ , Sherpa.ai , and Store Intel —integrate speech‑to‑text, LLM‑driven analysis, real‑time nudging, and computer vision to improve performance across BFSI, real estate, retail, and healthcare enterprises such as IndiaMart, Wakefit, Bank Dofar, GIVA, and Sobha. Role Overview The Senior AI Research Scientist will own the end‑to‑end research agenda that advances Darwix AI’s core capabilities in speech, natural‑language understanding, and generative AI. You will design novel algorithms, convert them into deployable prototypes, and collaborate with engineering to ship production‑grade features that directly influence enterprise revenue outcomes. Key ResponsibilitiesResearch Leadership Formulate and drive a 12‑ to 24‑month research roadmap covering multilingual speech recognition, conversation summarisation, LLM prompt optimisation, retrieval‑augmented generation (RAG), and behavioural scoring. Publish internal white papers and, where strategic, peer‑reviewed papers or patents to establish technological leadership. Model Development & Prototyping Design and train advanced models (e.g., Whisper fine‑tunes, Conformer‑RNN hybrids, transformer‑based diarisation, LLM fine‑tuning with LoRA/QLoRA). Build rapid prototypes in PyTorch or TensorFlow; benchmark against latency, accuracy, and compute cost targets relevant to real‑time use cases. Production Transfer Work closely with backend and MLOps teams to convert research code into containerised, scalable inference micro‑services. Define evaluation harnesses (WER, BLEU, ROUGE, accuracy, latency) and automate regression tests before every release. Data Strategy Lead data‑curation efforts: multilingual audio corpora, domain‑specific fine‑tuning datasets, and synthetic data pipelines for low‑resource languages. Establish annotation guidelines, active‑learning loops, and data quality metrics. Cross‑Functional Collaboration Act as the principal technical advisor in customer POCs involving custom language models, domain‑specific ontologies, or privacy‑sensitive deployments. Mentor junior researchers and collaborate with product managers on feasibility assessments and success metrics for AI‑driven features. Required Qualifications 6–10 years of hands‑on research in ASR, NLP, or multimodal AI, including at least three years in a senior or lead capacity. Strong publication record (top conferences such as ACL, INTERSPEECH, NeurIPS, ICLR, EMNLP) or patents showing applied innovation. Expert‑level Python and deep‑learning fluency (PyTorch or TensorFlow); comfort with Hugging Face, OpenAI APIs, and distributed training. Proven experience delivering research outputs into production systems with measurable business impact. Solid grasp of advanced topics: sequence‑to‑sequence modelling, attention mechanisms, LLM alignment, speaker diarisation, vector search, on‑device optimisation. Preferred Qualifications Experience with Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with GPU orchestration, Triton inference servers, TorchServe, or ONNX runtime optimisation. Prior work on enterprise call‑centre datasets, sales enablement analytics, or real‑time speech pipelines. Doctorate (PhD) in Computer Science, Electrical Engineering, or a closely related field from a Tier 1 institution. Success Metrics Reduction of transcription error rate and/or inference latency by agreed percentage targets within 12 months. Successful deployment of at least two novel AI modules into production with adoption across Tier‑1 client accounts. Internal citation and reuse of developed components in other product lines. Peer‑recognised technical leadership through mentoring, documentation, and knowledge sharing. Application Process Send your résumé (and publication list, if separate) to careers@darwix.ai with the subject line indicated above. Optionally, include a one‑page summary of a research project you transitioned from lab to production, detailing the problem, approach, and measured impact. Joining Darwix AI as a Senior AI Research Scientist means shaping the next generation of real‑time, multilingual conversational intelligence for enterprise revenue teams worldwide. If you are passionate about applied research that moves the business needle, we look forward to hearing from you.

Applied Machine Learning Scientist – Voice AI, NLP & GenAI Applications Location : Sector 63, Gurugram, Haryana – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–7 years in applied ML, with at least 2 years focused on voice, NLP, or GenAI deployments Function : AI/ML Research & Engineering | Conversational Intelligence | Real-time Model Deployment Apply : careers@darwix.ai Subject Line : “Application – Applied ML Scientist – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform transforming how enterprise sales, support, and credit teams engage with customers. Our proprietary AI stack ingests data across calls, chat, email, and CCTV streams to generate: Real-time nudges for agents and reps Conversational analytics and scoring to drive performance CCTV-based behavior insights to boost in-store conversion We’re live across leading enterprises in India and MENA, including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar , and others. We’re backed by top-tier operators and venture investors and scaling rapidly across multiple verticals and geographies. Role Overview We are looking for a hands-on, impact-driven Applied Machine Learning Scientist to build, optimize, and productionize AI models across ASR, NLP, and LLM-driven intelligence layers . This is a core role in our AI/ML team where you’ll be responsible for building the foundational ML capabilities that drive our real-time sales intelligence platform. You will work on large-scale multilingual voice-to-text pipelines, transformer-based intent detection, and retrieval-augmented generation systems used in live enterprise deployments. Key ResponsibilitiesVoice-to-Text (ASR) Engineering Deploy and fine-tune ASR models such as WhisperX, wav2vec 2.0, or DeepSpeech for Indian and GCC languages Integrate diarization and punctuation recovery pipelines Benchmark and improve transcription accuracy across noisy call environments Optimize ASR latency for real-time and batch processing modes NLP & Conversational Intelligence Train and deploy NLP models for sentence classification, intent tagging, sentiment, emotion, and behavioral scoring Build call scoring logic aligned to domain-specific taxonomies (sales pitch, empathy, CTA, etc.) Fine-tune transformers (BERT, RoBERTa, etc.) for multilingual performance Contribute to real-time inference APIs for NLP outputs in live dashboards GenAI & LLM Systems Design and test GenAI prompts for summarization, coaching, and feedback generation Integrate retrieval-augmented generation (RAG) using OpenAI, HuggingFace, or open-source LLMs Collaborate with product and engineering teams to deliver LLM-based features with measurable accuracy and latency metrics Implement prompt tuning, caching, and fallback strategies to ensure system reliability Experimentation & Deployment Own model lifecycle: data preparation, training, evaluation, deployment, monitoring Build reproducible training pipelines using MLflow, DVC, or similar tools Write efficient, well-structured, production-ready code for inference APIs Document experiments and share insights with cross-functional teams Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields 3–7 years experience applying ML in production, including NLP and/or speech Experience with transformer-based architectures for text or audio (e.g., BERT, Wav2Vec, Whisper) Strong Python skills with experience in PyTorch or TensorFlow Experience with REST APIs, model packaging (FastAPI, Flask, etc.), and containerization (Docker) Familiarity with audio pre-processing, signal enhancement, or feature extraction (MFCC, spectrograms) Knowledge of MLOps tools for experiment tracking, monitoring, and reproducibility Ability to work collaboratively in a fast-paced startup environment Preferred Skills Prior experience working with multilingual datasets (Hindi, Arabic, Tamil, etc.) Knowledge of diarization and speaker separation algorithms Experience with LLM APIs (OpenAI, Cohere, Mistral, LLaMA) and RAG pipelines Familiarity with inference optimization techniques (quantization, ONNX, TorchScript) Contribution to open-source ASR or NLP projects Working knowledge of AWS/GCP/Azure cloud platforms What Success Looks Like Transcription accuracy improvement ≥ 85% across core languages NLP pipelines used in ≥ 80% of Darwix AI’s daily analyzed calls 3–5 LLM-driven product features delivered in the first year Inference latency reduced by 30–50% through model and infra optimization AI features embedded across all Tier 1 customer accounts within 12 months Life at Darwix AI You will be working in a high-velocity product organization where AI is core to our value proposition. You’ll collaborate directly with the founding team and cross-functional leads, have access to enterprise datasets, and work on ML systems that impact large-scale, real-time operations. We value rigor, ownership, and speed. Model ideas become experiments in days, and successful experiments become deployed product features in weeks. Compensation & Perks Competitive fixed salary based on experience Quarterly/Annual performance-linked bonuses ESOP eligibility post 12 months Compute credits and model experimentation environment Health insurance, mental wellness stipend Premium tools and GPU access for model development Learning wallet for certifications, courses, and AI research access Career Path Year 1: Deliver production-grade ASR/NLP/LLM systems for high-usage product modules Year 2: Transition into Senior Applied Scientist or Tech Lead for conversation intelligence Year 3: Grow into Head of Applied AI or Architect-level roles across vertical product lines How to Apply Email the following to careers@darwix.ai : Updated resume (PDF) A short write-up (200 words max): “How would you design and optimize a multilingual voice-to-text and NLP pipeline for noisy call center data in Hindi and English?” Optional: GitHub or portfolio links demonstrating your work Subject Line : “Application – Applied Machine Learning Scientist – [Your Name]”

Founding AI Engineer Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 4 – 8 years of hands‑on AI/ML engineering in production environments Apply: careers@darwix.ai Subject Line: Application – Founding AI Engineer – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform transforming how enterprise revenue and service teams operate. Our products— Transform+ , Sherpa.ai , and Store Intel —deliver multilingual speech‑to‑text, live coaching nudges, behavioural scoring, and computer‑vision insights for clients such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by leading investors and built by IIT/IIM/BITS alumni, we are expanding rapidly across India, MENA, and Southeast Asia. Role Overview As the Founding AI Engineer , you will own the design, development, and deployment of Darwix AI’s core machine‑learning and generative‑AI systems from the ground up. You will work directly with the CTO and founders to convert ambitious product ideas into scalable, low‑latency services powering thousands of live customer interactions daily. This is a zero‑to‑one, high‑ownership role that shapes the technical backbone—and the culture—of our AI organisation. Key Responsibilities End‑to‑End Model Build & Deployment Architect, train, and fine‑tune multilingual speech‑to‑text, diarisation, NER, summarisation, and scoring models (Whisper, wav2vec 2.0, transformer‑based NLP). Design RAG pipelines and prompt‑engineering frameworks with commercial and open‑source LLMs (OpenAI, Mistral, Llama 2). Build GPU/CPU‑optimised inference micro‑services in Python/FastAPI with strict latency budgets. Production Engineering Implement asynchronous processing, message queues, caching, and load balancing for high‑concurrency voice and text streams. Establish CI/CD, model versioning, A/B testing, and automated rollback for ML APIs. Data Strategy & Tooling Define data‑collection, labelling, and active‑learning loops; build pipelines for continuous model improvement. Create evaluation harnesses (WER, ROUGE, AUROC, latency) and automate nightly regression tests. Security & Compliance Implement role‑based access, encryption‑at‑rest/in‑transit, and audit logging for all AI endpoints. Ensure adherence to enterprise infosec requirements and regional data‑privacy standards. Cross‑Functional Collaboration Partner with product managers to translate customer pain points into technical requirements and success metrics. Work with backend, DevOps, and frontend teams to expose AI outputs via dashboards, APIs, and real‑time agent assist overlays. Technical Leadership Establish coding standards, documentation templates, and peer‑review culture for the AI team. Mentor junior engineers as the team scales; influence hiring and tech‑stack decisions. Required Skills & Qualifications 4 – 8 years building and deploying ML systems in production (audio, NLP, or LLM focus). Expert‑level Python; strong grasp of PyTorch (or TensorFlow), Hugging Face Transformers, and data‑processing libraries. Proven record of optimising inference pipelines for sub‑second latency at scale. Hands‑on experience with cloud infrastructure (AWS or GCP), Docker/Kubernetes, and CI/CD for ML. Deep understanding of REST/gRPC APIs, security best practices, and high‑availability architectures. Ability to articulate trade‑offs and align technical decisions with business outcomes. Preferred Experience Prior work on Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with vector databases (Pinecone, FAISS), Redis Streams/Kafka, and GPU orchestration (Triton, TorchServe). Exposure to sales‑tech, call‑centre analytics, or real‑time coaching platforms. Contributions to open‑source AI projects or relevant peer‑reviewed publications. Success Metrics (First 12 Months) ≥ 25 % reduction in transcription error rate or latency across core languages. Two net‑new AI modules shipped to production and adopted by Tier‑1 clients. Robust CI/CD and monitoring pipelines in place with < 1 % model downtime. Documentation and onboarding playbooks enabling AI team headcount to double without quality loss. Who You Are A builder who takes ideas from whiteboard to production with minimal supervision. A systems thinker who balances algorithmic innovation with engineering pragmatism. A hands‑on leader who codes, mentors, and sets the technical bar through example. A product‑centric technologist who obsesses over user impact, not benchmark vanity. A lifelong learner who follows the bleeding edge of GenAI and applies it wisely. How to Apply Email your résumé to careers@darwix.ai with the subject line specified above. Optionally, include a brief note detailing an AI system you have designed and deployed, the challenges faced, and the measurable impact achieved. Joining Darwix AI as the Founding AI Engineer means taking ownership of the platform that will redefine how revenue teams worldwide leverage real‑time intelligence. If you are ready to build, scale, and lead at the frontier of GenAI, we look forward to hearing from you.

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]”

As a Proofreader at Third Bridge, you will play a crucial role in transforming raw, verbatim transcripts of technical conversations into polished, error-free end products. Your primary responsibility will be editing and proofreading transcripts to ensure accuracy, clarity, grammatical correctness, and alignment with the internal Style Guide. You will work on curating specialist profiles, researching market events and important information, and making client-centric editorial decisions to deliver high-quality content to our clients. Your meticulous eye for detail, outstanding listening and research skills, and exceptional command of English spelling, grammar, syntax, and punctuation will be essential in this role. You will need to demonstrate confidence in making editorial judgements, balancing consistency and adherence to guidelines with the client experience. Your ability to read text with two mindsets - as an editor and as a reader - will help you identify and rectify stylistic errors and improve content effectively. As a successful candidate, you will need to be a self-starter with the ability to manage multiple tasks, deadlines, and workflows efficiently. Effective communication with stakeholders globally, both in written and verbal formats, will be crucial. You will have the opportunity to gain exposure to technical content across various industries and topics, receive ongoing training on editing styles, and access insights from industry experts. To qualify for this role, you should have at least 3 years of professional experience in a proofreading/editorial role, hold a Bachelor's degree, and be familiar with financial content and industry-specific terminology. Third Bridge offers competitive compensation, generous paid time off, learning and development opportunities, health and well-being benefits, life insurance cover, flexibility in work arrangements, and various other perks to support your personal and professional growth. If you are a detail-oriented individual with exceptional proofreading skills and a passion for delivering high-quality content, we encourage you to apply for this role and be part of our diverse and inclusive team at Third Bridge.,

KPMG India is looking for Receptionist - Receptionist Receptionist - 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

Vihaa Multi Speciality Hospital 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

Detailed JD (Roles and Responsibilities) S4HANA ABAP S4HANA 7.5 syntax Adobe forms, Badi, enh, proxy, Idoc, webservice Understanding odata entities Extending standard Fiori app RAP Mandatory skills S4 HANA Desired/ Secondary skills LDC in S4 HANA ABAP Domain SAP

Job Editor-1 Description As an English Editor , you will: Ensure the quality of files is consistently high, and is accurate with regards to audio fidelity, timing, and other finer guidelines that need to be followed for the format. Creating English files, as well as correcting all errors while proofing a file and ensuring the file is checked against reference materials related to the project, conforms to department guidelines and/or client specifications, and the final product is consistent and error-free. Footnoting cultural references and expressions as an aid to translators. Adhering to deadlines for all assignments. Communicate clearly and effectively with supervisors and coordinators regarding the status of work as well as reporting problems as soon as they occur. Follow department-specific schedules and guidelines and demonstrate adherence to the schedule. Actively participate in all job / personal knowledge training programs. Comply with all administrative procedures including Workday compliance. Other duties as assigned by the Lead.

🧠 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)