Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. Deploy solutions into public cloud (AWS or Azure) infrastructure. Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact. Write code to create several machine learning experimentation pipelines. Design and implement feature engineering pipelines and push them to feature stores. Analyze large datasets to extract actionable insights and drive data-driven decision-making. Ensure the scalability and reliability of AI/ML solutions in a production environment. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Proficient in coding in Javascript, ReactJS, HTML and CSS. Proven experience as a front-end developer with a strong focus on ReactJS and Typescript. Technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability Proficiency in programming languages such as Python, Java etc. Full-stack experience API development, including JavaScript frameworks such as React, would be highly valuable Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem. Experience with large scale training, validation and testing Experience and skills in training and deploying ML models on AWS SageMaker or Bedrock Experience in machine learning frameworks such as TensorFlow, PyTorch, Pytorch Keras, or Scikit-learn. Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS). Preferred Qualifications, Capabilities, And Skills Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn, as well as LLM frameworks, such as LangChain, LangGraph, etc Understanding of finance or investment banking businesses is an added advantage ABOUT US Show more Show less

Frontend Engineer Role Requirements Required We are seeking a skilled Frontend engineer with expertise in developing web applications. The ideal candidate should possess the following skills and experience: Svelte and SvelteKit (or equivalent in React and Next.js) Experience with Svelte component framework for building reactive web interfaces with minimal boilerplate Proficiency in SvelteKit for creating full stack web applications with server side rendering and file based routing HTML and CSS Strong foundation in semantic HTML for structuring web content Expertise in CSS for styling and responsive design, including modern techniques like Flexbox and Grid JavaScript Advanced JavaScript programming skills for client side and server side development Knowledge of ES6+ features, asynchronous programming, and DOM manipulation TypeScript Strong knowledge of TypeScript for adding static typing to JavaScript applications Experience using interfaces, types, and generics to improve code quality and developer workflow Ability to configure and optimize TypeScript compiler settings for frontend projects PDF.js (or equivalent for handling pdfs in browser) Experience implementing PDF.js library to render and interact with PDF documents in web applications Skills in building PDF viewing, annotation, and processing capabilities within browser environments Large Language Model (LLM) API Integration Basic understanding of how to interact with LLM APIs like OpenAI's GPT Ability to handle LLM calls responses from backend (e.g. chatbots interfaces) Python Fundamentals Working knowledge of Python syntax and core concepts Familiarity with using Python-based backend services that support frontend applications Containerization Awareness Basic understanding of Docker concepts and container-based workflows Familiarity with how frontend applications are deployed in containerized environments Additional Skills Version Control Proficiency with Git for code management and team collaboration Cloud Basics Understanding of deploying frontend applications to cloud platforms Data Handling Experience working with APIs and managing data flows to from the frontend Communication Ability to collaborate with backend teams and translate technical requirements into frontend implementations Show more Show less

We're looking for a Senior Manager, Engineering This role is Office Based, Hyderabad Office As a Manager or Senior Manager you will lead and grow a high-performing engineering team within a product-driven environment. This individual will be responsible for overseeing the development, delivery, and support of scalable, robust, and high-quality software products. The ideal candidate will have expertise in Ruby on Rails (RoR), React, AWS, and API design, with a proven ability to inspire and manage engineers to deliver exceptional results. In this role you will.. Team Leadership And Development Lead a team of software engineers, providing mentorship, technical guidance, and career development. Foster a culture of collaboration, innovation, and continuous improvement within the team. Technical Oversight Drive the architecture and development of robust, scalable, and maintainable solutions using Ruby on Rails, React, AWS, and RESTful APIs. Conduct design and code reviews to ensure high standards of quality and maintainability. Product Delivery Collaborate with Product Managers, UX designers, and other stakeholders to define product roadmaps and technical requirements. Oversee sprint planning, resource allocation, and project execution to meet deadlines and deliverables. Operational Excellence Implement best practices in DevOps, CI/CD, and cloud infrastructure management to ensure high system availability and performance. Monitor and optimize application performance, scalability, and security. Stakeholder Engagement Act as a liaison between the engineering team and business stakeholders, translating business needs into technical solutions. Communicate project progress, risks, and outcomes to leadership and stakeholders. Technical Expertise You’ve Got What It Takes If You Have… Strong hands-on experience with Ruby on Rails, React, and AWS services (e.g., EC2, S3, RDS, Lambda). Proficiency in designing and implementing RESTful APIs and microservices architecture. Leadership Experience Proven track record of leading and managing engineering teams in a product company environment. Ability to inspire and motivate team members to achieve their highest potential. Product Mindset Deep understanding of the product lifecycle, from ideation to deployment and iteration. Experience collaborating with cross-functional teams to deliver customer-centric solutions. Operational Skills Strong background in Agile methodologies, sprint planning, and resource management. Knowledge of DevOps practices, including CI/CD pipelines and cloud infrastructure automation. GenAI Experience Exposure to Generative AI tools and technologies, such as OpenAI, Anthropic Claude, Google Gemini, Mistral, Meta Llama, and Hugging Face Transformers. Experience using GenAI-powered tools (e.g., GitHub Copilot, Tabnine, Codeium, Amazon CodeWhisperer) to improve developer productivity. Successfully leveraged GenAI for code generation, automated testing, bug fixes, and software documentation. Integrated AI-based assistants into daily workflows to enhance efficiency in task management, knowledge retrieval, and decision-making. Implemented GenAI-powered chatbots, virtual assistants, and recommendation engines to optimize internal processes and customer experiences. Advocated for the responsible use of GenAI to ensure secure, ethical, and compliant AI-driven solutions. Communication Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences. Our Culture Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Check us out on LinkedIn , Comparably , Glassdoor , and Facebook ! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Job Title - Development Manager, Software Engineering Experience: 8-12 years Education: Any Computer Science graduate/Post graduate CTC : 30-42 LPA Position Overview We are seeking a seasoned and proactive Development Manager with 8–12 years of experience in software engineering, with deep expertise in Java and JavaScript technologies. This is a leadership role for someone passionate about building high-performing teams, delivering robust software solutions, and driving innovation in a collaborative development environment. Job Requirements and Skills 8–12 years of experience in software development, with strong hands-on experience in Java (Spring/Spring Boot) and JavaScript (React, Angular or Vue.js) . Proven experience in managing or leading software development teams. In-depth understanding of microservices architecture, RESTful API design, and scalable systems. Experience with cloud platforms such as AWS , Azure or GCP . Hands-on expertise in building applications with Next.js Strong command of version control systems (e.g., Git) and CI/CD tools and practices. Excellent leadership, communication, and interpersonal skills. Hands-on expertise in building applications with Next.js Expertise in React performance optimization techniques Skilled in implementing unit tests with Jest and Cypress Expertise in at least one relational database (MySQL, Postgres, Supabase, etc) Knowledge of RAG, OpenAI and Prompt Engineering Knowledge of Shopify and headless architecture (like Contentful) is a plus Strong analytical, problem-solving and communication skills Key Responsibilities Lead, mentor, and grow a team of software developers in designing and developing scalable, maintainable applications using Java and JavaScript. Translate business requirements into technical specifications and high-level architectural solutions. Drive full lifecycle software development: requirement gathering, planning, design, implementation, testing, and deployment. Ensure the use of best practices and modern development standards across backend and frontend stacks. Perform code reviews and enforce quality assurance processes to ensure code efficiency and reliability. Collaborate with cross-functional teams including Product, QA, DevOps, and UI/UX for seamless delivery. Monitor team performance and ensure timely delivery of project milestones and business goals. Manage technical risks, propose and implement mitigation strategies. About Us At Incerro.ai , we are redefining digital experiences through cutting-edge AI-driven solutions . As an innovative and fast-growing technology company, we specialize in UI/UX advancements , Generative AI and intelligent automation enabling businesses worldwide to operate smarter and more efficiently. Our expertise lies in developing scalable, high-impact technologies that drive growth, enhance user engagement, and streamline operations. If you're passionate about crafting intelligent, future-ready solutions and pushing the boundaries of what's possible with AI, Incerro.ai is the perfect place to bring your vision to life. Join us in shaping the next generation of AI-powered digital experiences ! What We Offer We foster a collaborative, transparent, and open-minded work culture where every voice is heard Enjoy a flat hierarchy with direct access to leadership and decision-making processes Work on cutting-edge projects with emerging technologies, AI, and scalable solutions Fun Fridays every week, where we take a break, play games, and unwind as a team Show more Show less

We are looking for a Mid-Level LLM Application Developer with 3–5 years of experience in software development, who is passionate about building intelligent applications using Azure OpenAI, Python, and LLM frameworks. This is a full-time role focused on designing, developing, and deploying scalable LLM-powered solutions, including chatbots, knowledge assistants, and RAG-based systems. You’ll be working closely with cross-functional teams to bring innovative AI solutions to life, leveraging the latest in generative AI and agentic technologies. Job Description: Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases, semantic search and other related tools. Develop conversational agents and virtual assistants, using frameworks like LangChain or LlamaIndex. Craft effective prompts using advanced prompt engineering and prompt design techniques. Integrate LLMs with external tools, APIs, and business data systems. Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together Deploy and manage applications using Azure Functions, Azure AI services, and serverless components. Ensure performance, scalability, and reliability of AI solutions on Azure. Collaborate across teams and participate in agile development processes. Required Skills (Must Have): Strong proficiency in Python programming language. Expertise in Azure OpenAI Service, including foundation model usage and integration. Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search). Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.). Hands-on experience building RAG pipelines with vector databases and tool integrations. Proven experience developing chatbots or virtual assistants using LLMs. Proficiency in at least one LLM application framework (e.g., LangChain, LlamaIndex). In-depth understanding of LLM models, their capabilities, and applications. Good understanding of LLM evaluations, and how to evaluate LLM model outputs. Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs Experience deploying with Azure Function Apps and broader Azure ecosystem. Solid grasp of API integrations and data workflow design. Strong problem-solving skills and ability to deliver scalable, efficient code. Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): Familiarity with Multi-Agent AI orchestration and agentic workflows. Experience building cloud-native services with serverless architectures. Understanding of NLP techniques and data transformation pipelines. Familiarity with LLMOps concepts and AI model lifecycle. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We are looking for a Mid-Level LLM Application Developer with 3–5 years of experience in software development, who is passionate about building intelligent applications using Azure OpenAI, Python, and LLM frameworks. This is a full-time role focused on designing, developing, and deploying scalable LLM-powered solutions, including chatbots, knowledge assistants, and RAG-based systems. You’ll be working closely with cross-functional teams to bring innovative AI solutions to life, leveraging the latest in generative AI and agentic technologies. Job Description: Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases, semantic search and other related tools. Develop conversational agents and virtual assistants, using frameworks like LangChain or LlamaIndex. Craft effective prompts using advanced prompt engineering and prompt design techniques. Integrate LLMs with external tools, APIs, and business data systems. Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together Deploy and manage applications using Azure Functions, Azure AI services, and serverless components. Ensure performance, scalability, and reliability of AI solutions on Azure. Collaborate across teams and participate in agile development processes. Required Skills (Must Have): Strong proficiency in Python programming language. Expertise in Azure OpenAI Service, including foundation model usage and integration. Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search). Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.). Hands-on experience building RAG pipelines with vector databases and tool integrations. Proven experience developing chatbots or virtual assistants using LLMs. Proficiency in at least one LLM application framework (e.g., LangChain, LlamaIndex). In-depth understanding of LLM models, their capabilities, and applications. Good understanding of LLM evaluations, and how to evaluate LLM model outputs. Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs Experience deploying with Azure Function Apps and broader Azure ecosystem. Solid grasp of API integrations and data workflow design. Strong problem-solving skills and ability to deliver scalable, efficient code. Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): Familiarity with Multi-Agent AI orchestration and agentic workflows. Experience building cloud-native services with serverless architectures. Understanding of NLP techniques and data transformation pipelines. Familiarity with LLMOps concepts and AI model lifecycle. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

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]” Show more Show less

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]” Show more Show less

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Bangalore, India Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver major business processes (talent acquisitions, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line, and increase our efficiency. As a part of the Talent Productivity Engineering team, you will be building out custom web solutions and integrations that LinkedIn employees don’t just use, but love. This is an innovative team working with various parties involved in the candidate and employee journeys. Our work directly impacts the way LinkedIn hires, develops, and engages the best talent across the globe. As a Staff Software Engineer, you will lead the design and deployment of intelligent, AI-powered integration solutions across LinkedIn’s enterprise ecosystem. This role combines deep cloud engineering, modern software development, and applied AI to build systems that automate, predict, and accelerate business processes. You'll architect scalable services that harness the power of Generative AI, Agentic AI, and cloud-native frameworks to connect enterprise systems and deliver meaningful insights and automation across platform Responsibilities: - Architect and build intelligent integration frameworks and backend services leveraging AI models (OpenAI, custom LLMs, ML pipelines) and Azure services (APIM, Function Apps, Event Hubs, Azure SQL). - Design and operationalize AI-first solutions that process, enrich, and serve enterprise data at scale. - Design & Develop complex, enterprise-grade integration and AI solutions using open-source frameworks, Azure services (e.g., APIM, Function Apps, Event Hubs, Azure SQL), and AI services including OpenAI. - Own end-to-end service lifecycle—design, development, deployment, observability, and iteration. - Implement and expose AI capabilities through APIs and microservices that integrate with internal applications and SaaS platforms, ensuring optimal performance and seamless functionality. - Collaborate with engineers, AI researchers, product managers, and UX designers to translate business problems into scalable AI-powered services. - Lead technical reviews, architecture decisions, and AI integration patterns across teams. - Stay ahead of trends in Generative AI, Agentic AI, and MLOps; continuously identify opportunities to embed intelligence into systems. - Drive quality through test automation frameworks, CI/CD pipelines, and performance engineering. - Document and evangelize best practices for secure, ethical, and responsible use of AI in enterprise environments. Basic Qualifications: - 9+ years of software engineering experience in backend or systems integration roles. - BS in Computer Science, Engineering, or equivalent. - Proficiency in Python (or Java) for backend development and AI integration. - Hands-on experience designing and deploying REST APIs, event-driven architectures, and microservices using cloud platforms (Azure, AWS, GCP). - Good experience in building production-grade frontend applications using React and JavaScript, with attention to design systems, performance, and accessibility. - Good experience with AI technologies (e.g., OpenAI, Hugging Face, LangChain) and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn). - Prior experience in Generative AI and Agentic AI. - Skilled in relational and non-relational data systems (PostgreSQL, - - - - MySQL, Azure SQL, NoSQL), ETL pipelines, and data modeling. - Experience with test frameworks (e.g., Pytest), version control (Git), CI/CD (Jenkins), and containerization (Docker, Kubernetes). Preferred Qualifications: - Highly self-driven, execution-focused, with a willingness to do “what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of ground. - Prior experience integrating AI into enterprise workflows—e.g., chatbots, intelligent agents, AI-enhanced APIs. - Familiarity with MLOps tools and infrastructure-as-code (Terraform, Ansible). - Experience with Workday, SAP, or other ERP/HR systems. - Workday integration experience a plus - Exposure to edge computing, IoT, or real-time AI decision engines. - Track record of mentoring teams, driving engineering culture, and influencing strategic architecture decisions. - Good written and verbal communication, with a passion for innovation and continuous learning. - Challenges the status quo, fosters an innovative culture, and continuously learns new digital tools and methodologies Suggested Skill: • Python, Java, REST APIs, Web Services, Django/Flask/FastAPI • OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, Responsible AI principles • Azure (APIM, Functions, Event Hubs), AWS, GCP, Docker, Kubernetes, Terraform, Jenkins, Git • SQL/NoSQL, ETL Pipelines, Azure SQL, PostgreSQL, MySQL • JavaScript, React • Microservices, Event-Driven Systems, MLOps, CI/CD, Observability India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal Show more Show less

Experience Required: 3–5 Years Salary: ₹4–5 LPA (Based on experience) About Tryidol Technologies: Tryidol Technologies is a fast-growing digital solutions company working on global projects in eCommerce, custom software, EdTech, Healthcare , and ERP software development. We’re building a team of passionate professionals focused on innovation, high-quality delivery , and long-term client success . Our solutions are designed to help businesses scale efficiently through cutting-edge technology and result-driven strategies. We are hiring a Senior Developer who can take full ownership of software architecture and project delivery, while also mentoring and guiding a team of developers. Key Responsibilities: Lead the development of scalable web applications using the MERN stack Define and manage software architecture and coding standards Conduct code reviews, manage sprints, and oversee task planning Mentor and support junior/mid-level developers on best practices Ensure high code quality, security, and performance Collaborate with clients and internal teams for smooth execution Stay updated with emerging tech, especially AI tools and APIs Required Skills: Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js Proficiency with Git , REST APIs , Docker , PM2 , Nginx , and CI/CD tools (e.g., GitHub Actions) Exposure to cloud platforms like AWS or GCP Familiarity or working experience with AI tools/APIs such as OpenAI, Langchain, etc. Leadership experience in handling development teams and task assignments Excellent problem-solving, communication, and time-management skills Knowledge of Agile methodologies and sprint-based delivery Eligibility Criteria: 3–5 years of hands-on experience in web development Prior experience mentoring or managing developers Must be willing to work full-time from our Bhopal office What We Offer: High-ownership role with leadership opportunities A collaborative, innovation-driven team culture Exposure to international clients and diverse projects Growth-focused learning environment Show more Show less

Profile - Lead Python Developer Experience - 7+ years Location - Ahmedabad Office Work from Office Key Responsibilities: - Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. - Own the architecture, design, and delivery of scalable Python-based applications and APIs. - Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. - Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. - Design and optimize relational and NoSQL database schemas, queries, and migrations. - Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. - Ensure secure and high-performance API design, including token-based authentication and caching strategies. - Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when applicable. Technical Skills & Requirements: Must-Have Technical Skills: - Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django - Expertise in designing RESTful APIs with performance, scalability, and security in mind - Solid experience with PostgreSQL, MySQL, and MongoDB - Hands-on experience with Unix/Linux, including Shell scripting - Experience with Docker and containerized deployments - Proficient in using Git, branching strategies, and collaborative workflows - Experience in frontend-backend integrations and knowledge of JavaScript Good to Have: - Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.) - Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools - Experience with message queues, event-driven systems, and job schedulers Show more Show less

About Valorant Valorant is a fast-growing procurement consulting firm helping mid-market and PE-backed companies transform operations. We’re now launching our next chapter: building AI products to radically automate and augment procurement workflows. This isn’t about chatbot demos. We’re building real enterprise software with real client data, solving real problems. About the Role As our Founding Full-Stack AI Engineer / Technical Product Lead , you’ll drive the design, development, and launch of intelligent agentic systems that blend LLMs, vector search, structured data, and enterprise workflows. You’ll work closely with domain experts, iterate fast, and own the tech stack end to end—from backend services to frontend interfaces. This is a zero-to-one opportunity to build production-grade AI tools that work at scale and matter to real businesses. What You’ll Do Architect and build AI-powered products for procurement and supply chain use cases Develop LLM features using RAG (Retrieval-Augmented Generation), prompt engineering, and custom context pipelines Implement semantic document search using vector databases (Chroma, FAISS, etc.) Build Python backend services for data ingestion, transformation, and orchestration of AI pipelines Work with structured enterprise data (e.g., ledgers, SaaS exports, CSVs) to extract insights and power analytics Design or collaborate on frontend development for dashboards, chat interfaces, and user-facing tools (React or similar) Translate complex workflows into clean, intuitive UX with strong usability principles Ensure enterprise-grade reliability, explainability, and data privacy Contribute to product roadmap, feature planning, and fast iteration cycles with consultants and PMs Take ownership of the full stack and help shape a modern, scalable AI-first architecture What We’re Looking For 5–7+ years of experience in software engineering, full-stack development, or AI/ML product engineering Hands-on experience shipping LLM features in production (OpenAI, Claude, LLaMA, Mistral, etc.) Strong Python skills; experience with LangChain, LLaMA Index, or similar frameworks Experience with vector search, semantic indexing, and chunking strategies Backend engineering experience: designing modular APIs, microservices, and orchestration layers (FastAPI, Flask, Django, etc.) Proficiency in frontend development using React, Vue, or similar frameworks Understanding of UI/UX principles and ability to turn workflows into usable interfaces Familiarity with structured data workflows: pandas, SQL, and validation pipelines Exposure to cloud environments and dev tooling (Docker, GitHub Actions, AWS/GCP) Pragmatic, product-focused mindset — values useful outputs over academic perfection Bonus: Domain experience in procurement, supply chain, legal tech, or enterprise SaaS Bonus: Experience mentoring junior engineers or contributing to team scaling Why Join Us? Build meaningful AI products that solve real problems — not just tech showcases Collaborate with domain experts and access rich real-world data from day one Operate with autonomy, fast iteration cycles, and strong strategic backing Shape the tech foundation of an ambitious, AI-native product company Competitive pay, flexible remote work, and potential equity for high-impact contributors Show more Show less

About Company : Our Client is a French multinational technology services and consulting company, founded in 1967. They are known for their consulting, outsourcing, and professional services, operating in over 40 countries and employing over 300,000 people. Capgemini focuses on helping organizations transform and manage their businesses by leveraging technology. partners with companies to transform and manage their business by unlocking the value of technology . As a leading strategic partner to companies around the world, we have leveraged technology to enable business transformation for almost 60 years. Role: Automation Analyst Location: Pune Experience: 4 to 9 Year's. Client Budget : 8 to 13 L Work Mode: Hybrid Notice period: Immediate to 15 Days Required Skills : Java Playwright Appium Rest API Google Gemini LLM API / Azure OpenAI GitHub CoPilot AWS Test Runner - TestNG, Maven Reporting: Extent Report – Reporting, Log4j Monitoring Tool - DataDog CICD pipeline using GitHub, GitHub action Job Description : An Automation Analyst job description typically involves developing, implementing, and maintaining automation solutions to streamline business processes and improve efficiency. They analyze existing processes, identify automation opportunities, and work with stakeholders to ensure solutions meet business needs. Key Responsibilities of an Automation Analyst: Process Analysis: Analyze existing business processes to identify areas where automation can improve efficiency and reduce manual effort. Solution Development: Develop and implement automation frameworks and tools, including RPA (Robotic Process Automation) and other automation technologies. Requirements Gathering: Collaborate with stakeholders to understand business needs and ensure automation solutions meet their requirements. Testing and Troubleshooting: Test and troubleshoot automation solutions to ensure optimal performance and resolve any issues. Show more Show less

Python Developer – NLP & LLM Focus Location: India / Remote Position Type: Contract (20 hours per week) Pay: Commensurate with Experience Job Summary: We are seeking a highly analytical and solution-oriented Python Developer with a strong background in data science and large language models (LLMs) . The ideal candidate will possess deep expertise in troubleshooting complex issues and developing robust, scalable solutions. This role requires a blend of software engineering and data science skills in Natural Language Processing (NLP), with an emphasis on document text extraction, model execution, optimization, and implementation in production environments. Responsibilities: Design, develop, and deploy Python-based solutions to accurately extract and normalize information from documents Use cloud-based text extraction models and LLMs from OpenAI and Anthropic Work with NLP models for language processing / data classification Evaluate / compare model output Troubleshoot issues in data pipelines and model performance, and implement effective solutions to address performance and accuracy issues Collaborate with cross-functional teams to understand requirements, design solutions, and deliver high-quality code Ensure code quality, documentation, and maintainability across projects Optimize existing models and systems for efficiency and scalability Requirements: Minimum of 5 years of experience in Python with a focus on NLP 1 year of hand-on integration and model execution experience with LLMs from OpenAI and/or Anthropic Experience working with relational databases like PostgreSQL and no-SQL databases like MongoDB Engineering degree in Computer Science or equivalent Solid understanding of software development best practices and data pipeline design Experience with Git, CI/CD pipelines, and cloud deployment (AWS, or Azure) Strong problem-solving skills and ability to work in an agile environment Excellent communication and interpersonal skills Preferred Skills (Nice to Have): Experience working with text extraction models (e.g., OCR, NLP-based extractors) Experience implementing fuzzy (non-exact) matching logic using tools like OpenSearch or similar technologies Familiarity with International Trade Documents and domain-specific data Why Join Us: Work remotely Work on cutting-edge AI/ML models with real-world impact Flexible engagement model: Work 20 to 40 hours per week Collaborative and innovative team environment Competitive compensation aligned with your experience and expertise Powered by JazzHR xWVFB8brzb Show more Show less

We're Hiring: Azure AI Engineer Company: CLOCO (Australia-based) Location: Preferably Coimbatore (Remote/Hybrid considered) Experience: Minimum 2 years We're looking for an Azure AI Engineer to join our growing team supporting international projects in AI and automation. What You'll Work On: AI/ML solutions using Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning Cloud-native AI applications Intelligent search, vision, and NLP features Collaborating with global tech teams What We’re Looking For: 2+ years hands-on experience with Azure AI stack Familiarity with Azure Functions, Logic Apps, AI pipelines Knowledge of Azure DevOps or GitHub Actions is a plus Optional: Familiarity with Python or .NET Bonus: Experience with chatbots, recommendation engines, or AI-driven apps Why Join Us? Work with an innovative Australian company Flexible working model Exposure to real-world AI use cases Interested? Drop your CV or LinkedIn profile in DM or email to info@cloco.com.au Show more Show less

Key Responsibilities Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) Design and fine-tune prompts for various use cases. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) Use tools like LangChain or LlamaIndex for multi-step worklows Collaborate with designers, content teams, and founders to turn ideas into polished tools About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality. Show more Show less

Company Description Hidden Brains InfoTech is a CMMI Level 3 enterprise software development and IT consulting company, dedicated to digital transformation. Established in 2003, we have served over 2400 clients across 107 countries, and are 'Great Place to Work Certified.' Our focus is on building technology solutions that create intelligent enterprises through innovative approaches. With a team of over 700 agile-enabled professionals, we have developed more than 1000 mobile applications and 4000 web apps, completing over 6000 Responsibilities : Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. Own the architecture, design, and delivery of scalable Python-based applications and APIs. Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. Design and optimize relational and NoSQL database schemas, queries, and migrations. Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. Ensure secure and high-performance API design, including token-based authentication and caching strategies. Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when Skills & Requirements : Must-Have Technical Skills Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django. Expertise in designing RESTful APIs with performance, scalability, and security in mind. Solid experience with PostgreSQL, MySQL, and MongoDB. Hands-on experience with Unix/Linux, including Shell scripting. Experience with Docker and containerized deployments. Proficient in using Git, branching strategies, and collaborative workflows. Experience in frontend-backend integrations and knowledge of JavaScript Good To Have Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.). Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools. Experience with message queues, event-driven systems, and job schedulers (ref:hirist.tech) Show more Show less

Job Description It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc . magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way. We are looking for a Staff Data Science Engineer to join our IT Applications and Data team located in Bangalore, reporting to the senior director of Business Intelligence. In this role, you will collaborate with various business functions and IT Development teams to deliver data science and analytics capabilities for the company. You will work with the IT development and product manager to discover the information hidden in data and help us provide insights and make smarter decisions using that data. This is an exceptional opportunity to join a growing, successful, and innovative organization. Infoblox allows you to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration. You are the ideal candidate if you can influence, collaborate, and break down complex business information into easy-to-understand data products. What you’ll do: Maintain an in-depth understanding of business needs by working closely with stakeholders and understand how data can be turned into information and knowledge Apply data mining techniques, perform statistical analysis, and build high-quality prediction solutions Collect and prepare data from the datalake and other sources and build machine learning (ML) techniques and analytic capabilities Work with IT management and senior engineers to share model outputs through business intelligence (BI) dashboards Complete ad hoc analysis and present results to business users Develop Generative AI (Gen AI) models for use cases such as text generation, summarization, and conversational AI Implement Large Language Models (LLMs) using Python-based frameworks such as LangChain, Hugging Face Transformers, OpenAI APIs, and TensorFlow/Keras Fine-tune and optimize Gen AI models for domain-specific applications Work with Microsoft Fabric for data engineering, real-time analytics, and AI integration Implement Retrieval-Augmented Generation (RAG) techniques to enhance LLM responses using enterprise knowledge bases What you’ll bring: 12+ years of data science experience that includes thought leadership and a sound understanding of business objectives and processes in SaaS companies preferred Solid programming and scripting skills in Python, with experience in PyTorch, TensorFlow, Scikit-learn, and MLflow Hands-on experience with ML algorithms and data science toolkits, such as R, Numpy, and MatLab Practical experience with Generative AI models, such as GPT, BERT, T5, or Stable Diffusion, and LLMs Experience in model deployment and serving using tools like FastAPI, Flask, MLflow, or Vertex AI Understanding of Microsoft Fabric and its ML and AI capabilities Knowledge of RAG for enhancing LLM applications with external data retrieval Excellent scripting and programming skills, including SQL and data extraction tools Sound applied statistical skills, such as statistical testing and regression Fair understanding of BI technologies, such as Tableau and big data analytics Ability to work with managers to use storytelling to showcase the business value of the data science deliveries to executives Bachelor’s degree in computer science, engineering, or a related field; advanced degree preferred What success looks like: After six months, you will… Be the conduit to bring out analytical insights for revenue growth and churn reduction Use your strong cross-functional business knowledge to create data science solutions After About a Year, You Will… Be a critical part of delivering AI possibilities leveraging ML Be a key contributor in elevating the analytic opportunities for the company using IT-managed applications’ data Have a solid relationship with stakeholders We’ve got you covered: Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers. Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location Delicious and healthy snacks and beverages Electric vehicle charging stations Outdoor amenities (onsite gym, table tennis, pool table, play area, and courtyard Newly remodeled offices with state-of-the-art amenities Why Infoblox? We’ve created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer . We think you’ll be excited to join our team. Show more Show less

Job Summary Location-Bangalore/Pune/Hyderabad Shift-2pm-11pm Role : GenAI Full stack developers We are seeking a talented Full Stack Developer with expertise in Generative AI and a strong background in Microsoft technologies. This role involves developing and maintaining innovative AI-driven applications using Azure OpenAI GPT4o services. Key Responsibilities: 1. Collaborate with cross-functional teams to design, develop, and deploy AI applications using OpenAI GPT-4 and GPT-4o on the Azure cloud platform. 2. Develop and refine machine learning models, using state-of-the-art techniques in natural language processing and deep learning. 3. Perform data wrangling, preprocessing, and feature engineering to prepare data for modeling. 4. Analyze and interpret complex datasets, providing actionable insights and recommendations to stakeholders. 5. Maintain and update AI models, ensuring their accuracy and relevance to business needs. 6. Stay up to date with the latest research, tools, and technologies in the field of artificial intelligence and machine learning. 7. Create and maintain documentation, including technical specifications, user guides, and best practices for AI development. 8. Define data ingestion strategy for variety of file types i.e., word, ppt, excel, images etc.. 9. Define Prompt Engineering guidelines for the GPT-4o Bots for effective generation. Required Skills and Experience: 4+ years of experience with Python, JavaScript, React, Node.js, and Express. Proficiency in databases such as MySQL, PostgreSQL, and MongoDB. Experience with Azure services, including Azure Functions, Azure DevOps, and Azure Cognitive Services. Strong understanding of web servers Familiarity with containerization technologies such as Docker and Kubernetes. Ability to write clean, efficient, and reusable code. Strong problem-solving skills and the ability to troubleshoot complex issues. Preferred Qualifications: Experience with Generative AI models and integrating them into applications. Knowledge of agentic workflows like CrewAI or Autogen. Experience in a startup environment or entrepreneurial spirit. Familiarity with CI/CD pipelines and automated deployment processes. Show more Show less

About Blitzy We are on a mission to automate software creation to unlock the next industrial revolution. We have happy paying customers, backing from multiple tier 1 investors, success as founders at the last start-up, and dozens of Generative AI patents to our names. Important: Application Process Candidates must complete a technical assessment on Coderbyte as the first step. This 3-hour assessment evaluates your backend development capabilities and is a crucial part of our selection process. You're welcome to use online resources and AI tools during the test. Link: https://coderbyte.com/sl-candidate?promo=blitzyai-soqdn:software-engineer-73-jegd9la&invb=user5x59dzwi Role Overview We're seeking experienced Backend Engineers to join our team in building the future of software development. You'll work directly with our US Engineering team, taking ownership of critical components in our AI-powered platform. Key Responsibilities Design and implement scalable backend services using Python, Terraform, and GCP Build and optimize microservices architecture for AI-powered applications Collaborate with cross-functional teams to deliver robust solutions Make architectural decisions that balance speed, quality, and safety Write, review, and ship production-grade code Required Technical Skills Expert-level Python programming & Kubernetes Understanding of Golang programming Strong experience with Terraform and GCP Proficiency in building microservices architectures Experience with SQL/NoSQL databases (PostgreSQL, MongoDB) Solid understanding of API design (REST, gRPC, GraphQL) Hands-on experience with CI/CD tools (Jenkins, CircleCI) What Sets You Apart Experience with AI platforms (OpenAI, Anthropic, HuggingFace) Track record of building enterprise-scale applications with 99% SLAs Strong background in distributed systems First-principles thinking approach to problem-solving Benefits & Perks Competitive salary and equity Comprehensive medical insurance Provident Fund with gratuity US onsite opportunities for high performers International transfer possibilities Latest tech equipment and resources Beautiful office space with meals provided The Blitzy Culture We're a high-output, low-ego team that values curiosity and creative problem-solving. Our work environment supports work-life balance while pursuing ambitious goals. Application Steps Submit your application Complete the mandatory Coderbyte technical assessment (3-hour time limit) If successful, proceed to interview rounds Receive offer decision Ready for the Challenge? Start your application process by taking our technical assessment here: https://coderbyte.com/sl-candidate?promo=blitzyai-soqdn:software-engineer-73-jegd9la&invb=user5x59dzwi Note: The technical assessment is a mandatory first step. Only candidates who successfully complete the assessment will be considered for interviews. Show more Show less

Job Description: We're looking for a Senior Python-Based AI Developer with expertise in Generative AI, Prompt Engineering, and End-to-End Solution Design. The ideal candidate will have experience in building and maintaining AI-powered applications in Python, integrating LLM APIs with enterprise apps, and optimizing model performance. Key Responsibilities: 1. Understand customer requirements and translate them into technical solutions. 2. Design and build end-to-end solutions using Python, Generative AI, and Prompt Engineering. 3. Integrate LLM APIs with enterprise apps and optimize model performance. 4. Collaborate with cross-functional teams to ensure solutions meet reliability, security, and privacy standards in healthcare contexts. 5. Work in an Agile environment and deliver incremental value. Requirements: 1. 7+ years of experience in Python-based AI development. 2. Hands-on experience with LLM APIs (OpenAI, Bard, etc.) and enterprise app integration. 3. Experience with model evaluation metrics (BLEU, ROUGE, BERT Score) and embedding similarity techniques (FAISS, Pinecone). 4. Proficiency in designing, building, and deploying RESTful APIs, microservices, and event-driven architectures on cloud platforms (AWS, Kubernetes). 5. Knowledge of HIPAA/data governance or willingness to learn. 6. Strong analytical thinking and problem-solving skills. Work Details: 1. Shift: 12pm to 9pm 2. Work Location: Chennai (Pan India - only if not getting profiles for Chennai) 3. Base Location: Chennai (Pan India) 4. Work Arrangement: Hybrid (3 days a week WFO) 5. Review Duration: 24 hours Show more Show less

We're pioneering a new paradigm for preventive health — one where disease is predicted, prevented, or course corrected much before symptoms appear. Our AI-driven platform provides scientifically rigorous, deeply personal, universally accessible health insights to help people live longer, healthier lives. Who should apply? You're a data storyteller who transforms complex biomarker patterns into actionable health insights. You're passionate about using LLMs and AI models to create breakthrough visualizations that help people understand their health like never before. Responsibilities Design & Build scalable data pipelines processing millions of biomarker readings Architect Data Structures for personalized health insights and risk predictions Create Pathbreaking Visualizations using AI models to reveal health patterns Develop Query Systems for real-time health data analysis and reporting Integrate LLMs for automated insight generation and natural language health explanations Build Analytics Dashboards that make complex health data accessible to users Qualifications 4-7 years of data engineering experience with large-scale systems in a product based startup environment Advanced SQL and NoSQL database expertise Data Visualization mastery (D3.js, Plotly, Tableau, custom solutions) LLM Integration experience (OpenAI API, Anthropic, local models) Python/R for data science and ML model deployment Cloud Platforms (AWS/GCP/Azure) with healthcare compliance knowledge What Makes You Special Natural Curiosity - You dig deep into data anomalies and patterns Ownership Mindset - You ensure data quality and system reliability Innovation Drive - You push boundaries in health data visualization Impact Focus - You understand that your work affects real health outcomes Show more Show less

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less