2791 Openai Jobs - Page 19

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Location: Noida / Indore Company: Team Geek Solutions Experience Required: 7–10 Years Qualification: Bachelor’s or Master’s in Computer Science & Engineering About Team Geek Solutions At Team Geek Solutions, we are innovators driven by cutting-edge technology. Our mission is to solve real-world problems using scalable backend systems and next-gen AI. We believe in a collaborative, forward-thinking culture where every engineer plays a pivotal role in building impactful products. Join us if you're ready to lead with purpose and innovate with passion. Position Overview We are looking for a highly skilled Lead Backend Engineer with strong command over Java/Python and a deep understanding of GenAI and Large Language Models (LLMs) . You will lead a team of developers and data scientists to build scalable backend architectures and AI-driven solutions, pushing the boundaries of what’s possible with today’s AI capabilities. Key Responsibilities Lead and mentor a team of backend and AI engineers. Architect and develop robust backend solutions using Java and Python. Solve complex problems using structured and unstructured data. Apply state-of-the-art LLMs (e.g. OpenAI, HuggingFace models) and build solutions using LangChain, Transformer models, and PyTorch. Implement techniques like Retrieval-Augmented Generation (RAG) to improve performance and capabilities of LLM-based systems. Own the development of end-to-end ML pipelines including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaborate with business and product teams to identify use cases and deliver AI-powered solutions. Stay updated with the latest advancements in AI and integrate best practices into development workflows. Required Skills Proficiency in Java and Python with hands-on experience in both. Solid understanding of Data Structures & Algorithms. Deep experience in Transformer-based models, LLM fine-tuning, and deployment. Hands-on with PyTorch, LangChain, and Python web frameworks (e.g., Flask, FastAPI). Strong database skills with SQL. Experience in deploying and managing ML models in production environments. Leadership experience managing small to mid-sized engineering teams. Preferred / Good-to-Have Skills Experience with LLMOps tools and techniques. Exposure to cloud platforms (AWS/GCP/Azure) for model deployment. Strong written and verbal communication skills for technical and non-technical audiences. Passion for innovation and building AI-first products. Skills: algorithms,langchain,pytorch,sql,flask,transformer-based models,ml,java,llm fine-tuning,fastapi,data structures,models,data,mlops,python

Location: Noida / Indore Company: Team Geek Solutions Experience Required: 7–10 Years Qualification: Bachelor’s or Master’s in Computer Science & Engineering About Team Geek Solutions At Team Geek Solutions, we are innovators driven by cutting-edge technology. Our mission is to solve real-world problems using scalable backend systems and next-gen AI. We believe in a collaborative, forward-thinking culture where every engineer plays a pivotal role in building impactful products. Join us if you're ready to lead with purpose and innovate with passion. Position Overview We are looking for a highly skilled Lead Backend Engineer with strong command over Java/Python and a deep understanding of GenAI and Large Language Models (LLMs) . You will lead a team of developers and data scientists to build scalable backend architectures and AI-driven solutions, pushing the boundaries of what’s possible with today’s AI capabilities. Key Responsibilities Lead and mentor a team of backend and AI engineers. Architect and develop robust backend solutions using Java and Python. Solve complex problems using structured and unstructured data. Apply state-of-the-art LLMs (e.g. OpenAI, HuggingFace models) and build solutions using LangChain, Transformer models, and PyTorch. Implement techniques like Retrieval-Augmented Generation (RAG) to improve performance and capabilities of LLM-based systems. Own the development of end-to-end ML pipelines including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaborate with business and product teams to identify use cases and deliver AI-powered solutions. Stay updated with the latest advancements in AI and integrate best practices into development workflows. Required Skills Proficiency in Java and Python with hands-on experience in both. Solid understanding of Data Structures & Algorithms. Deep experience in Transformer-based models, LLM fine-tuning, and deployment. Hands-on with PyTorch, LangChain, and Python web frameworks (e.g., Flask, FastAPI). Strong database skills with SQL. Experience in deploying and managing ML models in production environments. Leadership experience managing small to mid-sized engineering teams. Preferred / Good-to-Have Skills Experience with LLMOps tools and techniques. Exposure to cloud platforms (AWS/GCP/Azure) for model deployment. Strong written and verbal communication skills for technical and non-technical audiences. Passion for innovation and building AI-first products. Skills: algorithms,langchain,pytorch,sql,flask,transformer-based models,ml,java,llm fine-tuning,fastapi,data structures,models,data,mlops,python

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound  🛠️ What you’ll do Build and scale our AI evaluation engine. Use OpenAI / Claude / LLaMA + RAG + embeddings to grade candidate answers in real time. Work on core APIs, background jobs, async pipelines, and performance tuning. Deploy models to production with real users — 1000s of developers a week. Collaborate directly with founders, move fast, and iterate weekly. 🧩 Why this is special You won’t be stuck in a research team or just writing wrappers. You’ll ship real AI to prod, every week. You’ll own large parts of the backend + ML evaluation stack. You’ll get a front-row seat to building an AI-native product used by top Indian startups. We’re a tight, product-obsessed team — no middle managers, just real builders. ✅ You’ll do great if you: Have 1+ years experience in backend development (Node.js, Python, Golang, etc.) Have shipped something with OpenAI, LangChain, or other LLM tools. Are curious about RAG, prompt design, vector DBs, and AI grading at scale. Care about writing clean code, automating workflows, and building robust systems. Want to go deep in both backend and AI — and learn fast. ⚡ Bonus if you: Have experience with background jobs, Redis, Postgres, and async pipelines. Know how to evaluate and tune LLM outputs. Have built side projects that combine code + AI in creative ways.

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Completely hands-on with building applications using GenAI models and frameworks Serve as the primary technical expert for GenAI technologies, with a focus on enhancing our GenAI footprint across our clients by developing, implementing, and optimizing advanced AI models and solutions. The SME will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies into our IT services to our client Define best practices, standards, and templates for AI solutions Conduct workshops, demos, and client presentations on GenAI use cases. Collaborate closely with cross-functional teams ( Functional, Technical experts along with business stakeholders) for identifying, evaluating and implementing used cases across different customers. Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities. Provide technical leadership, mentorship, and guidance to teams. Troubleshoot and resolve complex platform integration and functionality issues. Proactive blueprint,PoCs and Pilots – Hands-on to independently build quick protypes and demonstrate to the key decision makers Required Skills And Qualifications 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI / Gen AI (OpenAI, Anthropic, Hugging Face, etc.). Expertise in NLP, NLU, NLQ and NLG technologies. Must have Core Python expertise to build applications and engineer GenAI solutions at enterprise scale Must have delivered at least 1-2 production grade projects on agentic AI frameworks Must have hands-on experience with either of the agentic AI framework such as Autogen,Langraph or Crew.AI etc. Expertise in NLQ to SQL based GenAI applications using core Python tools and frameworks Experience on databases,datawarehouses and data lakes on any of the cloud platform Deep knowledge of architecting product scale GenAI applications on Microsoft Azure Cloud,AWS Cloud or GCP cloud enviornments Solid understanding of API integrations, backend systems, and data flows. Programming skills in Python, Node.js, Java or similar, API programming Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings. Excellent problem-solving skills and solution architecture capabilities. Strong client-facing communication skills and ability to translate business needs into technical solutions. Ability to manage/run multiple projects and priorities in a fast-paced environment and competing priorities Experience working with cloud platforms (AWS, Azure, GCP). Expertise in building technical proposals with winning engineering architectures and technical articulation for CXO level audience Experience in building fast PoVs and blueprints on new and emerging GenAI models,tools,frameworks and other stack

We are hiring a Senior / Lead AI Engineer to build intelligent systems powered by LLMs, agents, and real-time data workflows. This is a hands-on engineering role involving orchestration, full-stack development, and AI optimization. Key Responsibilities Build agent-based workflows using LangChain, LangGraph, or GroundX Develop and enhance Model Control Plane (MCP) features for LLM routing and monitoring Contribute to system development across: Frontend: Next.js, React, Vue, TypeScript Backend: Python, Java, Node.js Cloud/DevOps: Azure, AWS, GCP, Docker, Kubernetes, CI/CD Collaborate on retrieval pipelines, embedding models, and LLM APIs Optimize AI modules for scale, cost efficiency, and low latency AI Stack Highlights LLMs: OpenAI, Claude, Cohere, Gemini, LLaMA Frameworks: LangChain, LangGraph, LlamaIndex Search & Retrieval: Embedding-based and hybrid search pipelines Infrastructure: Multi-cloud, containerized deployment, GPU-based workflows Qualifications 7+ years of experience in software or AI engineering 2+ years of experience working with GenAI technologies or LLMs Strong skills in full-stack development, prompt orchestration, and scalable AI deployment Location: Chennai Employment Type: Full-time Experience: 7+ years Why Galent Galent is a digital engineering firm that brings AI-driven innovation to enterprise IT. We’re proud of our diverse and inclusive team culture where bold ideas drive transformation. Ready to Apply? Send your resume to sumanth.s@galent.com Equal Opportunity Statement Galent is an equal opportunity employer. We welcome culturally diverse talent to be a part of our success story. Our hiring process is an integral part of our culture, where we pick the best talent based on skills and qualifications regardless of ethnicity, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We stay committed to creating a positive workplace free of any form of discrimination and harassment. As champions of gender equality, we offer equal opportunities, support, flexibility, safety, and well-being to our women employees. At Galent it’s not enough for our employees to feel welcome, they must feel like they belong.

We are seeking a Polyglot AI Architect to lead the design and development of a cloud-native enterprise AI platform. You will be responsible for architecting intelligent systems that integrate agent orchestration, retrieval pipelines, and data sources within a modern full-stack environment. Key Responsibilities Design agent-to-agent (A2A) orchestration using frameworks like LangChain, LangGraph, or GroundX Build RAG pipelines leveraging structured, unstructured, and contextual data Lead end-to-end architecture across: Frontend: React, Next.js, Angular, Vue, TypeScript, D3 Backend: Python, Java, Node.js, Go Cloud & DevOps: Azure, AWS, GCP, Docker, Kubernetes, CI/CD, GPU deployments Define scalable APIs and build semantic data integration and orchestration layers Ensure best practices in system performance, security, and responsible AI principles AI Stack Highlights LLMs: OpenAI (GPT), Claude, Cohere, Google Gemini, Meta LLaMA Frameworks: LangChain, LangGraph, LlamaIndex Embeddings & Retrieval: OpenAI, Cohere, BGE, hybrid search pipelines Data Layer: Vector and graph integrations, batch and stream processing Qualifications 12+ years in software engineering, data engineering, or AI development 2+ years of hands-on experience in GenAI, multi-agent orchestration, or LLM platforms Proven expertise in polyglot architectures, cloud-native platforms, and data pipelines Location: Chennai Employment Type: Full-time Experience: 12+ years Why Galent Galent is a digital engineering firm that brings AI-driven innovation to enterprise IT. We’re proud of our diverse and inclusive team culture where bold ideas drive transformation. Ready to Apply? Send your resume to sumanth.s@galent.com Equal Opportunity Statement Galent is an equal opportunity employer. We welcome culturally diverse talent to be a part of our success story. Our hiring process is an integral part of our culture, where we pick the best talent based on skills and qualifications regardless of ethnicity, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We stay committed to creating a positive workplace free of any form of discrimination and harassment. As champions of gender equality, we offer equal opportunities, support, flexibility, safety, and well-being to our women employees. At Galent it’s not enough for our employees to feel welcome, they must feel like they belong.

About the Role: We are seeking a sharp Automation Engineer with deep hands-on experience in building web scrapers , Selenium automation , and Python development . The ideal candidate will also have a strong foundation in AI-driven agentic automation , designing systems that mimic human decision-making at scale. Responsibilities: Build and maintain robust web scraping solutions across various websites and platforms. Develop and optimize Selenium-based automation scripts for high reliability and speed. Leverage AI models and frameworks to design autonomous agents for workflow and task automation. Ensure scalability, error handling, and long-term maintainability of scraping and automation systems. Collaborate closely with internal teams to understand evolving data extraction and automation needs. Stay current with industry best practices in scraping defenses, AI agents, and Python advancements. Requirements: 3+ years of hands-on experience building production-grade web scrapers. Strong proficiency in Python and libraries like Selenium , BeautifulSoup , Scrapy , etc. Experience designing or implementing AI-based automation agents (using frameworks like LangChain, OpenAI, or similar). Deep understanding of headless browser operations, CAPTCHAs, proxies, and evasion techniques. Solid debugging, testing, and optimization skills. Comfort working in a fast-paced, self-directed environment. Bonus Points: Experience with browser automation frameworks beyond Selenium (e.g., Playwright). Familiarity with cloud-based scraping infrastructure (e.g., AWS Lambda, Dockerized scraping). Knowledge of reinforcement learning or AI autonomy systems.

Job Title: Python Developer – Backend Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 1–4 Years 🧠 About Darwix AI Darwix AI is one of India’s fastest-growing enterprise AI startups. We’re building a GenAI-powered conversational intelligence and real-time agent assist suite for omnichannel sales teams. Our platform powers live customer conversations for leading enterprises across India, MENA, and Southeast Asia. Backed by top-tier VCs and driven by a world-class team from IITs, IIMs, and BITS, Darwix AI is reshaping how revenue teams scale with data, automation, and real-time intelligence. 🎯 Role Overview We are hiring a Python Developer to join our backend engineering team and contribute to building scalable APIs, robust data flows, and integrations with AI services. You’ll work across backend services, databases, and cloud environments to support the rapid development and deployment of our GenAI solutions. This role is ideal for developers who are confident with Python and backend fundamentals, and are excited to grow within a high-performance team solving real-world problems with AI. 🔧 Key ResponsibilitiesBackend & API Development Build and maintain RESTful APIs using FastAPI , Flask , or Django Design and implement backend modules to support features like agent assist, real-time transcription, and AI recommendations Integrate Python services with frontend and mobile clients via secure APIs Database & Data Operations Work with MySQL and PostgreSQL for structured data storage, querying, and optimization Build and maintain ETL scripts and backend logic to support AI model inputs and outputs Set up background workers and cron jobs for processing sales calls, analytics events, and reports Integration with AI Systems Connect backend systems with transcription engines (Whisper, Deepgram), vector DBs, and LLM APIs (OpenAI, Gemini) Implement API wrappers, prompt routing logic, and GenAI orchestration services DevOps & Deployment Use Git , GitHub , and CI/CD pipelines for version control and automated deployments Assist in maintaining cloud-hosted services (AWS EC2 preferred) Debug and monitor deployed services for performance, reliability, and scaling ✅ Required Skills & Qualifications 1–4 years of experience working as a Python developer in backend roles Proficiency in Python with experience using FastAPI , Flask , or Django Strong understanding of RESTful API design and integration practices Experience with MySQL or PostgreSQL ; ability to write clean and efficient queries Hands-on experience with Git, GitHub, and basic server-side deployment workflows Familiarity with cloud platforms like AWS , DigitalOcean , or GCP Strong debugging, documentation, and code-structuring habits 💡 Good to Have (Not Mandatory) Exposure to AI/ML concepts , LLMs, or vector DBs like FAISS or Pinecone Experience working with audio data , transcription, or speech-to-text pipelines Familiarity with Docker, containerized deployments, and Linux CLI Interest in real-time systems, API scalability, or prompt engineering 🌟 You’ll Excel In This Role If You Enjoy working in fast-paced, high-ownership environments Can take product ideas from concept to deployment independently Want to work on cutting-edge AI products with real-world impact Are hungry to learn and grow fast in a high-caliber tech team 💼 What We Offer Competitive salary with performance-linked incentives ESOPs for long-term contributors An opportunity to work on core systems that power AI at scale High visibility within the company and direct access to founders A merit-driven, collaborative, and fast-moving work environment 📩 How to Apply Send your resume + GitHub/portfolio to people@darwix.ai Subject Line: Python Developer – [Your Name] Darwix AI Redefining Sales with Generative AI | From India for the World

About the role In this role, you will: Build a full app with an AI assistant with world class user experience. Work with cutting-edge generative AI and agent-based platforms to deliver an exceptional user experience in conversational UI and data analysis. Design and build robust integrations with various systems, apps, and platforms to expand the product’s ecosystem. Take full ownership of what you build. Partner well with international peers. What we're looking for To be successful in this role, you should: Be passionate about solving big problems for the underserved and build tech for good. Be relentlessly self motivated, curious and operate well with peers but can fully manage yourself and your work. Have strong knowledge of Python and be able to build an end to end coding infrastructure that scales from hundreds to millions of users. Past experience with this will be great. Have experience working with generative AI architectures and stack, including prompt engineering, agents, vector databases, and RAGs. Possess a basic understanding of computer science concepts (data structures, graphs, recursion, and building simple language parsers). Be able to work with tools like Jira, GitHub, Sentry, and New Relic to follow a structured development process—or be willing to learn them quickly. Be comfortable with the following tech stack: Python, ParseHub, OpenAI API (GPT-4) / Claude 3.x Sonnet, Google Cloud Natural Language API, Retool, AWS. (It's okay if you don't know all of these, but you should be willing to learn.) If you can also handle some frontend, that’s a great bonus but not necessary. Benefits We're fully remote - so you can work from anywhere within +/- 5hrs of UTC. Flexible working hours. Between August 2025 to January 2026 with potential to extend. About Us We’re an early-stage AI startup, currently in stealth mode, led by an ex-Director of Meta. Between us, we've helped build products at Google, Uber and WhatsApp — all with a focus on world-class user experience at massive scale. We're building an AI-enabled customer experience platform to help small businesses thrive. Our MVP is in progress, and early customer feedback has been positive. Now, we're looking for someone who wants to build with us in real-time, from the ground up. As a team, we're hard-working, impact-driven, and a little obsessed with solving meaningful problems for the underserved. We come from diverse backgrounds — research, data, marketing, sales, literature, and statistics. We’re operators, hackers, and builders. We believe deeply in tech for good and want to see the underdogs win through better technology and AI. Mission In AY, we are building an AI enabled customer experience improvement platform for small businesses. We have just started and our early customers are quite positive about what we are doing for them. You can help us get to more users and build out the product in real time. Our Values We care about the small players and believe in equity in tech. We fail all the time but bounce back immediately as we have a big mission to accomplish. Our failures fuel our ambition. We work very fast. This is not a side gig / timepass. We believe in radical simplification. We build without ego - everyone can be more than who they are and what they studied. We do not build on monopolistic tech. We love numbers but will also take a leap of faith based on user and product acumen. Why should you join? You care about what happens to the less privileged. You would like to make your mark in the world. You believe that a superior product combined with grit, perseverance and tireless execution wins when you face competition / big tech and all sorts of curveballs. You can think clearly under pressure or when things are tough. You are a fast learner and drive your own growth. You put your hand up to take on more and deliver with full accountability. You diagnose your mistakes and figure out how to not repeat them. Compensation : Between 30,000 - 50,000 INR depending on level of expertise. Hiring Process Step 1 - 45 mins Founder Interview - We are looking to see if you’re a culture fit and can handle the problem we are solving Step 2 - 2-3 days time (not more than 10 hours) Take Home Challenge You will be given a problem to solve. You will be allowed to use an AI co-pilot or any other resource to solve the problem, as long as you acknowledge it. This is to test your thinking and coding abilities. There will be no LeetCode or puzzles. Step 3 - 30 - 45 mins Technical Interview - Discuss technical challenges you may face and how to self solve them.

Job Title: GenAI Lead – Product Development Location: Chandigarh, India Company: Simplify Reports To: Managing Director About Simplify Consulting Simplify Consulting is a rapidly growing AI and digital transformation company headquartered in Jakarta, with a mission to transform enterprises through GenAI, Data, Cloud, and Security. Our platforms – SimplifyGenAI, SimplifyData, SimplifyTransformer, and others – are helping organizations unlock value at scale. We’re now looking for a hands-on GenAI Lead to join us in building cutting-edge AI-powered solutions. Role Overview We are seeking a highly experienced and passionate GenAI Lead to drive the design, architecture, and development of our Generative AI products. This role requires strong technical expertise in AI and GenAI (LLMs, transformers, embeddings), leadership capabilities, and the ability to work cross-functionally with product, engineering, and client delivery teams. Key Responsibilities • Lead the GenAI product development roadmap – from ideation to deployment across internal platforms and client solutions • Architect and develop GenAI-powered modules using LLMs (e.g., GPT, LLaMA, Claude, Mistral), embeddings, RAG pipelines, and vector databases • Build and lead a high-performing GenAI engineering team, mentoring junior AI engineers and fostering a culture of innovation • Collaborate with the Product, UX, and Business teams to align GenAI capabilities with customer pain points • Integrate GenAI capabilities into core platforms like SimplifyGenAI, SimplifyLegal, SimplifyHR, and others • Drive experimentation, fine-tuning, prompt engineering, and evaluations to ensure high-quality and responsible AI • Stay updated with the latest GenAI research and innovations; bring best practices into the product development lifecycle • Support client engagements including PoCs, solution design, and technical demos Requirements • 5+ years of experience in AI/ML, with 1+ years focused on Generative AI/LLMs • Hands-on experience with transformer-based models , prompt engineering , vector databases (e.g., FAISS, Pinecone, Weaviate) , and RAG architectures • Experience deploying GenAI applications using LangChain, LlamaIndex, Hugging Face, OpenAI, Anthropic, or similar • Proficiency in Python, APIs, and frameworks like FastAPI or Flask • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) • Demonstrated ability to lead and deliver GenAI solutions from concept to production • Strong communication skills and stakeholder management ability • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field Preferred (Nice to Have) • Experience with multilingual models and token optimization • Knowledge of secure and ethical GenAI practices • Experience in enterprise domains like LegalTech, HRTech, or Financial Services Why Join Us • Be a core member of one of Asia’s most exciting AI companies • Work on meaningful, enterprise-grade AI problems across multiple industries • Flexible working environment with ownership and autonomy • Opportunities to publish, speak, and represent the company in global forums • Competitive salary, performance-based incentives and ESOP To Apply: Send your resume and portfolio/projects to [deep@simplifyai.id] Learn more about us: www.simplifyAI.id

Were Hiring | AI Data Analyst (8+ Years, Tech Lead Level) Location: Mahape, Navi Mumbai (Hybrid Work from Office) Joining: Immediate Joiners Preferred Role Overview We are looking for an experienced AI Data Analyst with 8+ years of professional experience, including leadership in tech projects. The ideal candidate should have strong expertise in Python , Machine Learning , AI APIs , and Large Language Models (LLMs) . Youll work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Experience Must Include 2+ year of hands-on experience as a Data Analyst 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) 2+ years of experience working with Machine Learning models/solutions 5+ years of hands-on Python programming Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities Perform data exploration, profiling, and cleaning of large datasets Design, build, and evaluate ML and AI models to solve real-world problems Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights Build end-to-end ML pipelines from preprocessing to deployment Create dashboards and visualizations for reporting and analysis Analyze model outputs and provide actionable insights to stakeholders Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills Data Analysis Experience with real-world datasets, EDA, and data wrangling Visualization using Pandas, Seaborn, Plotly Machine Learning & AI Practical experience in classification, regression, clustering techniques Experience with Generative AI, LLMs, OpenAI/Hugging Face APIs, vector search Knowledge of RAG architecture and modern AI design patterns Skilled in model evaluation and hyperparameter tuning Programming & Tools Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Expertise in SQL/PostgreSQL Hands-on experience with vector databases like pgvector, ChromaDB Familiarity with LLMs, embeddings, and foundation models Exposure to cloud platforms (AWS/SageMaker), Git, REST APIs, and Linux Nice to Have Experience with Scrapy, SpaCy, or OpenCV Knowledge of MLOps, model deployment, CI/CD pipelines Familiarity with PyTorch or TensorFlow Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Lets shape the future of AI together! Thanks & Regards, Kajal Uklekar Arrk Group Senior Manager-Talent Acquisition www.arrkgroup.com

Lead Data Scientist Gurgaon, India; Ahmedabad, India; Hyderabad, India; Virtual, Gurgaon, India Information Technology 317407 Job Description About The Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317407 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About the Role: We're looking for an experienced AI/ML Engineer with a passion for personalization, recommendation systems, and NLP applications to help us build next-gen AI-driven features. If you've built recommendation engines or worked on e-commerce personalization, this is your chance to shape intelligent customer experiences. Key Responsibilities: Design and deploy AI-powered product recommendation systems and personalized feed algorithms Build scalable models for influencer discovery and shoppable content logic Work on NLP models for tasks such as: Auto-tagging content Chat summarization Commerce-focused prompts Integrate third-party LLMs (e.g., OpenAI, Cohere, Claude) and develop lightweight custom models tailored to business use cases Collaborate with product, design, and engineering teams to embed machine learning into user-facing features Requirements: 3–5 years of hands-on experience in applied machine learning or data science Proficiency in TensorFlow , PyTorch , or HuggingFace libraries Strong experience in recommendation systems , ranking models , or personalization engines Solid foundation in natural language processing (NLP) techniques Familiarity with model deployment, APIs, and cloud-based ML environments (AWS/GCP/Azure) Bachelor's or Master's degree in Computer Science, Engineering, or a related field Preferred Qualifications: Experience working on e-commerce platforms , search/recommendation engines, or similar consumer products Understanding of user behavior modeling, collaborative filtering, or A/B testing frameworks Exposure to prompt engineering or fine-tuning LLMs for business-specific tasks Job Type: Full-time Pay: ₹400,000.00 - ₹1,000,000.00 per year Schedule: Day shift Work Location: In person

Job Title :- AI Agent (Automation Specialist) Location:- Gurgaon Department:- Operations Reports to :- Managing Director Employment type:- Full time About the Role: We are seeking a highly motivated AI Agent Automation Specialist with expertise in building and managing voice agents, lead qualification bots, sales support tools, and personal AI assistants using no-code platforms. This role is ideal for a creative thinker who understands prompt engineering, has a deep interest in AI agents with memory, tools, and brain-like behaviour, and is excited to shape the future of intelligent automation. Key Responsibilities: Design, build, and deploy AI agents using no-code platforms (e.g., Voiceflow, Tidio, Zapier, Make, etc.) Develop and optimize voice-based AI agents for customer engagement, sales support, and personal assistance tasks. Configure and refine lead qualification workflows, using AI-powered logic and memory structures. Implement prompt engineering strategies to optimize agent responses and ensure contextual accuracy. Manage agent "brain", memory, and tool integrations for seamless performance and long-term interaction tracking. Work closely with sales and marketing teams to customize conversational flows aligned with business goals. Ensure compliance with privacy, security, and ethical use standards in AI interactions. Required Skills & Qualifications: Proven experience with no-code automation platforms (Voiceflow, Airtable, Tally, Zapier, etc.) Strong understanding of Prompt Engineering and AI conversational design. Familiarity with AI concepts such as agent memory, tools/plugins, vector databases, and contextual learning. Demonstrated ability to build, test, and iterate voice and chat-based AI agents. Excellent analytical, creative, and communication skills. Technical curiosity and passion for AI-driven solutions. Preferred Qualifications: Background in sales automation, lead generation, or customer support tech. Experience with OpenAI, ChatGPT, Claude, LangChain, or similar AI frameworks. Exposure to API integrations, webhook configuration, or workflow logic. UX or conversation design background is a plus. What You'll Work With: Intelligent agent frameworks and AI brain architectures Conversational memory stacks and dynamic toolchains Voice interface systems and prompt libraries A collaborative and forward-thinking product and marketing team Work in a high-impact, cross-functional team shaping future user experiences Access to latest AI tools, resources, and training Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person

We are urgently looking for an experienced Generative AI Trainer to join our institute and drive excellence in training. Require solid expertise in AI/ML, NLP, and Generative AI (LLMs, LangChain, Transformers, RAG, etc) Send CV at rathij91@gmail.com Required Candidate profile Conduct online & offline classes. Provide proxy interviews & technical support to help students get placed. Prepare assessments, track performance & guide for certifications.

About Us: At HCL-GUVI, we are on a mission to empower organizations with cutting-edge AI and ML capabilities. We work closely with Fortune 500 companies to upskill their workforce through customized, high-impact training solutions. If you’re passionate about AI/ML education and want to work with the R&D segment of one of the fastest-growing corporate training arms, we want to hear from you! Job Title: Technical Subject Matter Expert – AI & Machine Learning Location: On-site/Hybrid (Based on corporate training location) Organization: HCL-GUVI Role Overview: We are seeking a Subject Matter Expert (SME) in Artificial Intelligence and Machine Learning to lead and deliver corporate training programs. The ideal candidate will possess deep domain knowledge, real-world experience, and a strong passion for teaching and innovation. Key Responsibilities: ● Training Delivery: Conduct high-quality, in-depth AI/ML training sessions for corporate employees (on-site or virtually). ● Curriculum Design: Collaborate with stakeholders to create and customize training modules tailored to business needs. ● Project Development: Design industry-relevant, state-of-the-art AI/ML/Generative AI projects and hands-on tasks. ● Assessment & Evaluation: Systematically evaluate learners' progress, conduct code reviews, and provide constructive feedback. ● R&D Collaboration: Work with HCL-GUVI's R&D teams to stay updated with emerging trends and technologies. ● Mentorship: Guide and mentor junior trainers, interns, or learners as needed. Required Qualifications: ● Education: ○ Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Applied Statistics, Data Science, or related fields. ○ Preferred from Tier-1 institutions (IITs, NITs, IIITs, IISc, etc.). ● Experience: ○ 3–5+ years of hands-on industry experience (both in Corporate project development & Corporate training) in AI, Machine Learning, or MLOps. ○ Experience in training corporate employees or holding academic/training positions is a must. Skills and Competencies: ● Technical Skills: ○ Strong understanding of Machine Learning, Deep Learning, Generative AI (LLMs, Transformers, etc.), and MLOps. ○ Expertise in Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs, LangChain, etc. ○ Familiarity with cloud platforms (AWS, Azure, GCP) and ML pipelines. ● Training & Communication: ○ Excellent presentation, instructional design, and communication skills. ○ Proven ability to explain complex concepts in simple terms to a non-technical audience. ● Project Skills: ○ Ability to design real-world capstone projects, datasets, and evaluation metrics. ○ Experience with version control (Git), Docker, CI/CD for ML, and experiment tracking tools (MLflow, Weights & Biases). Preferred Skills: ● Experience with Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and LLM fine-tuning. ● Exposure to data governance, ethical AI, and explainable AI (XAI) principles. ● Knowledge of corporate L&D processes and success metrics. Why Join Us? ● Competitive Salary aligned with industry standards. ● Access to cutting-edge R&D projects at the intersection of AI and enterprise solutions. ● Opportunity to collaborate with global clients and leading consulting firms (EY, Deloitte, etc.). ● High visibility role with opportunities for growth and leadership. ● Engaging work culture that values innovation, learning, and impact. Apply Now and become a part of the future of AI-driven corporate learning! Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,000,000.00 per year Benefits: Health insurance Schedule: Day shift Morning shift Work Location: In person Application Deadline: 10/07/2025 Expected Start Date: 21/07/2025

Date: 7 Jul 2025 Location: Bangalore, KA, IN Job Description We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. If this excites you, then apply below. Role: GenAI Architect Description: Key Responsibilities : 1. Architect scalable GenAI platforms using advanced RAG techniques. 2. Design multi-agent orchestration using MCP and A2A patterns. 3. Integrate Knowledge Graphs and vector databases for semantic search. 4. Lead prompt pipeline development and observability tooling. 5. Define secure API gateways and DevOps deployment strategies. 6. Optimize LLM performance and context management. 7. Ensure compliance with data privacy standards (HIPAA/GDPR). 8. Collaborate with cross-functional teams for system reliability. 9. Mentor engineers on GenAI architecture and best practices. 10. Drive innovation in agentic AI and schema-aware retrieval systems. Must Have 1. Deep expertise in LangChain, DSPy, LangGraph, and Python. 2. Strong understanding of RAG variants (Schema RAG, Agentic-RAG). 3. Experience with vector DBs like FAISS, pgvector, Pinecone. 4. Knowledge of Knowledge Graphs and Neo4j integration. 5. Familiarity with OpenAI APIs and prompt engineering. 6. Hands-on with Docker, Terraform, and GitHub Actions. 7. Cloud deployment experience (AWS, Azure, GCP). 8. Proficiency in secure API design and token management. 9. Strong documentation and architectural design skills. 10. Strategic thinking with mentoring and leadership capabilities. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

Job Summary: We are seeking a skilled and motivated Full Stack Developer with 2+ years of experience in building modern web applications using React.js for the frontend and Python (Django/Flask/FastAPI) for backend APIs . The ideal candidate should also possess a strong interest or hands-on experience in Artificial Intelligence (AI) or Machine Learning (ML) concepts, tools, or integration workflows. You will work closely with our product, AI, and engineering teams to develop intelligent, scalable, and high-performing applications. Key Responsibilities: Design, develop, and maintain front-end applications using React.js Build and maintain scalable APIs and backends using Python frameworks (Flask/Django/FastAPI) Integrate AI/ML models into backend services or via third-party APIs Work with RESTful and GraphQL APIs for data exchange Collaborate with data scientists and ML engineers to support AI-related features in the application Implement responsive and dynamic UIs using modern design principles and component libraries Write clean, maintainable, and well-documented code (both frontend and backend) Participate in sprint planning, code reviews, and team discussions Required Skills & Experience: 2+ years of professional experience in full stack development Strong proficiency in React.js , JavaScript/TypeScript , and modern UI practices Solid backend experience with Python (Flask, Django, or FastAPI) Good understanding of RESTful APIs , database design (SQL/NoSQL), and authentication (OAuth/JWT) Familiarity with AI/ML concepts such as classification, NLP, or prediction models (basic or practical experience) Experience integrating with AI APIs or using Python libraries like scikit-learn , TensorFlow , OpenAI API , or HuggingFace Transformers is a plus Experience with Git, Docker, and CI/CD tools Strong problem-solving and debugging skills Good communication and collaboration abilities Nice to Have: Experience with GraphQL Knowledge of Cloud platforms like AWS, GCP, or Azure Familiarity with data visualization tools or libraries (Chart.js, D3.js, etc.) Exposure to MLOps or deploying ML models in production Experience working in Agile/Scrum environments Educational Qualifications: Bachelor's degree in Computer Science, Engineering, or related field Certifications or self-driven projects in AI/ML are a strong plus Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Application Question(s): Must have AI knowledge Education: Bachelor's (Required) Experience: React: 2 years (Required) Python: 1 year (Required) Language: Tamil (Required) Work Location: In person

Mandatory requirement : Notice Period: Immediate to 15 days only Other Details: Position: Full Time, 5 days a week, Work from office Location: Nehru Place, New Delhi Experience: 2+ years in relevant fields Notice Period: Immediate to 15 days only Education: Full-time B.Tech/BE (or equivalent) in Computer Science or related IT fields required About B2B SaaS and Bizight Solutions B2B SaaS is one of the fastest-growing industries today, with Indian companies expected to capture 10% of the global market share by 2022, generating revenues up to $20 billion. Bizight Solutions is a technology product and services company, with its flagship product, SalesPanda , a leading product in the enterprise BFSI space. Our clients include prominent names such as MaxLife, HDFC Mutual Fund, Tata Life, Nippon, and more. The current opportunity is for a Senior OpenAI Developer for SalesPanda. (Visit: www.salespanda.com) About the SaaS Products SalesPanda – Digital Automation SalesPanda is a Sales & Marketing Automation Platform designed to help companies digitally grow their business through channel partners such as insurance agents, distributors, and resellers. With features like Content Marketing, Social Media Marketing, Email Marketing, Lead Management, and Website Activity Tracking, it serves as an integrated platform for principals to expand their digital reach via channel partners. Job Description – OpenAI Developer/Sr Developer (Python, AI Agents, API Development) We are looking for an experienced Senior OpenAI Developer with at least 3 years of experience in software development, including 1-2 years specifically working with OpenAI and Large Language Models (LLMs) . This role will involve the development and integration of AI models, focusing on AI agents and their applications within the SalesPanda platform. You will be part of a dynamic team creating innovative AI solutions and integrating them into CRM systems and other third-party tools. Key Responsibilities: Develop AI solutions using OpenAI's LLM models to build AI agents and relevant use cases within the SalesPanda platform. Understand and apply OpenAI models to create customized AI solutions and integrations. Build and maintain APIs to integrate with CRM tools and other third-party applications. Stay updated with advancements in OpenAI technologies and LLM models to continually enhance the platform’s AI capabilities. Collaborate closely with cross-functional teams to implement AI-driven features and improve platform functionality. Participate in architecture design and contribute to the AI-driven features and backend systems. Develop Python applications, including APIs for integrations and new functionalities. Candidate Profile / Skills Required: Bachelor’s degree (Full time) in Computer Science, Information Technology, or a related field. 3+ years of experience in software development with a focus on Python, and 1-2 years specifically working with OpenAI, LLM, and AI agents . Experience developing and implementing AI-driven solutions, leveraging OpenAI models. Proficiency in Python programming , with a solid understanding of Django and web application development. Expertise in working with RESTful APIs and integrating third-party applications and services. Strong knowledge of AI technologies, particularly Large Language Models (LLMs) and AI agent development . Familiarity with Agile development methodologies and the ability to work in a fast-paced environment. Experience with version control systems like GitHub . Strong problem-solving skills and the ability to learn new technologies quickly. Excellent communication and collaboration skills for effective teamwork. Preferred Skills: Familiarity with other JavaScript frameworks (e.g., React , Vue.js ). Experience with database technologies like PostgreSQL, MySQL, or MongoDB. Understanding of GraphQL for web services integration. Previous experience working on AI integrations with CRM systems. Familiarity with cloud platforms and hosting AI models. Employment Details: Position: Full Time, 5 days a week, Work from office Location: Nehru Place, New Delhi Experience: 2+ years in relevant fields Notice Period: Immediate to 15 days only Education: Full-time B.Tech/BE (or equivalent) in Computer Science or related IT fields required Visit our websites: www.bizight.com & www.salesPanda.com for more details about our company and product.

Hiring!! Hiring!! Hiring!! We are currently looking to hire a ServiceNow Gen AI Architect / Lead Developer Job title: ServiceNow Gen AI Architect / Lead Developer Locations : Remote Experience: 7+ years Key Responsibilities: Architect and lead Gen AI initiatives within the ServiceNow platform Integrate Azure OpenAI with ServiceNow to drive enhanced decision-making and productivity Implement and manage Now Assist modules Automate generation of knowledge articles and ticket summaries using Gen AI Streamline workflows and enhance user experience through AI-driven solutions Skills Required: Proven experience in ServiceNow Gen AI features and capabilities Expertise in Now Assist implementation Strong background in integrating AI services (especially Azure OpenAI) with ServiceNow Ability to design scalable Gen AI use cases in ITSM/ITOM modules

About Domestika Domestika is the world’s fastest-growing creative community and learning platform. From our base in Silicon Valley, our globally distributed team empowers millions of learners to master new skills, connect with like-minded creatives, and showcase their work. We build delightful, technology-driven experiences that make learning inspiring and social. The Opportunity We’re searching for a Product Manager with 3 – 5 years of hands-on experience to own and streamline product operations for our next wave of AI-powered learning and community tools . You’ll structure delivery end-to-end, drive ruthless prioritization, and partner with design, engineering, data, and content teams to ship features that reach a global audience. Expect big scope, high autonomy, and daily collaboration with our CPO. What You’ll Do Unify product ops – Create a single source of truth for roadmaps, specs, OKRs, and delivery processes across squads. Structure delivery – Define clear milestones, run sprint ceremonies, and proactively unblock teams so we launch on time and at quality. Prioritize with purpose – Balance user value, business impact, and tech feasibility to build and maintain a transparent, data-driven backlog. Drive continuous improvement – Analyze metrics, gather feedback, and run retros to iterate on product and process alike. Champion AI use cases – Translate the latest AI/LLM capabilities into simple, magical experiences for creators and learners. Manage stakeholders – Communicate crisp updates, surface trade-offs, and align Marketing, Support, and Execs around shared outcomes. Foster team velocity – Nurture a culture of ownership, experimentation, and rapid learning in a dynamic, multi-time-zone environment. What You’ll Bring 3 – 5 years in product management or product operations, ideally at a high-growth tech company or startup. Proven product ops chops – You’ve set up or leveled-up processes that let teams move fast without dropping details. AI fluency – Comfort with modern AI tooling (OpenAI, Anthropic, Lovable, Replit, vector DBs, LangChain, etc.) and a knack for spotting creative applications. Data-driven mindset – Skilled at defining metrics, digging into analytics, and turning insights into action. Exceptional communication – Can distill complex topics for execs, inspire cross-functional teams, and keep global stakeholders in sync. Bias for impact – Thrive amid ambiguity, juggle multiple initiatives, and deliver 0-to-1 and 1-to-n improvements at scale. Agile fundamentals – Comfortable running sprints using tools like Jira, Linear, or Notion. Nice to Have Experience with ed-tech, creator platforms, or large consumer communities. Background in experimentation frameworks and product analytics (Mixpanel, Amplitude, Looker). Knowledge of growth tactics, monetization levers, or pricing strategy. Why You’ll Love It Here Massive reach – Your work will touch millions of creators worldwide. C-level collaboration – Direct mentorship and decision-making partnership with our CPO. Global, inclusive culture – Join 40 + nationalities united by creativity and curiosity. Remote freedom – Work from wherever you’re happiest and most productive. Competitive package – Market salary, and regionally tailored benefits. Career growth – Clear path toward Senior PM and beyond, plus an annual learning stipend. Skills: stakeholder management,product management,product delivery,communication,product operations,product road mapping,ai tools,data analysis,agile methodologies

We are looking for a skilled and passionate Python Developer with experience in Django, FastAPI, and hands-on work with LangChain and Large Language Models (LLMs). This role is ideal for someone who enjoys building intelligent systems, integrating with modern AI tools, and delivering scalable backend solutions. Key Responsibilities: Design, develop, and maintain backend applications using Python, Django, and FastAPI Integrate and build applications using LangChain, LLMs, or similar generative AI frameworks Collaborate with AI/ML and product teams to implement intelligent features Optimize APIs for performance, scalability, and security Work closely with frontend developers, DevOps, and QA to ensure seamless product delivery Stay updated with the latest advancements in generative AI and LLM tooling Required Skills: Minimum 3+ years of hands-on experience in Python development Strong expertise in Django and FastAPI frameworks Practical experience working with LangChain, LLMs, or other large language model APIs (e.g., OpenAI, Cohere, Anthropic) Understanding of RESTful API design and microservices architecture Experience with version control (Git) and CI/CD tools Good problem-solving skills and ability to work in an agile environment Preferred Skills (Good to Have): Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) Exposure to prompt engineering and NLP techniques Familiarity with containerization tools like Docker Experience with cloud platforms like AWS, GCP, or Azure 

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

The Opportunity Are you passionate about building intelligent, enterprise-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks? At Nutanix, we're looking for a skilled and experienced AI/ML engineer to help shape the future of generative AI within our SaaS Engineering organization. As a senior member of our team, youll work at the cutting edge of AI innovationdeveloping and deploying state-of-the-art LLMs and embedding models, optimizing model performance, and building scalable ML pipelines with real-world impact. About the Team At Nutanix, you will be joining a dynamic central platform team that plays a pivotal role in revolutionizing our approach to artificial intelligence and machine learning within the SaaS Engineering group. Comprising eight experienced engineers, our team specializes in addressing the GenAI, machine learning, and data science needs of various squads within the organization. Our diverse skill set ensures we collaborate effectively to create innovative solutions, leveraging the latest advancements in technology to drive our initiatives forward. Your Role Design and deploy Retrieval-Augmented Generation (RAG) pipelines . Build, fine-tune, and deploy LLMs and embedding models such as LLaMA 3 , Gemma , Mistral , and other domain-specific transformers. Fine-tune both LLMs and embedding models for specialized enterprise tasks including Q&A, summarization, classification, and conversational AI. Develop and maintain agentic frameworks capable of orchestrating task-specific intelligent agents with memory, planning, and tool-use capabilities. Build and evaluate custom agents for use cases like document analysis, data querying, and interactive user support. Implement evaluation frameworks for LLM outputs, including both automated metrics and task-specific success criteria. Work closely with data engineering teams to develop custom training pipelines and extract meaningful insights from large-scale internal datasets. Develop MLOps pipelines for training, deployment, and monitoring using tools like MLflow , Kubeflow , and custom CI/CD workflows. Deploy optimized inference endpoints for high-performance, low-latency model serving at scale. Manage vectorization workflows using advanced embedding models and vector databases for semantic search and content retrieval. Demonstrate working knowledge of LangChain, OpenAI function-calling, vector databases and scalable retrieval logic. Work with Kubernetes clusters to provision, scale, and monitor AI/ML workloads; understand GPU, CPU, and storage hardware requirements for efficient deployment. Collaborate with cross-functional teams including backend, data, and infrastructure engineers to integrate models seamlessly into production systems. What You Will Bring Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, or a related field. 5+ years of hands-on experience building, deploying, and maintaining AI/ML systems in production environments. Strong foundation in MLOps, including model versioning, CI/CD, monitoring, and retraining workflows. In-depth understanding of Kubernetes (K8s) and GPU-based infrastructure, including container orchestration and GPU scheduling for AI workloads. Experience working with Elasticsearch for semantic search and integrating it within RAG or LLM-driven architectures. Proficient in Python (core ML libraries like PyTorch, Pandas, and NumPy). Hands-on experience using Jupyter Notebooks for experimentation, documentation, and collaboration. Comfortable with Unix-based systems, shell scripting, and command-line tooling for ML operations and debugging. Familiarity with LangChain, LLM orchestration, and vector database integration. Strong collaboration and communication skills, with the ability to mentor junior team members and drive initiatives independently. Open-source contributions or published work in the ML/AI domain is a plus.