4010 Openai Jobs - Page 23

Job Title Full-Stack AI Application Engineer (Node.js & Modern AI Platforms) About the Role We are looking for a versatile **Full-Stack AI Application Engineer** who can turn business ideas into production-ready web apps powered by the latest AI tooling. You will design, build, and deploy scalable applications—ranging from proof-of-concept MVPs to full SaaS products—leveraging cutting-edge platforms such as Bolt, Cursor, Replit, and Lovable. If you thrive on building end-to-end solutions, integrating custom LLMs, and shipping beautifully crafted UIs, we’d love to meet you. Key Responsibilities - **Architect & develop** responsive web apps (landing pages, dashboards, admin panels). - **Integrate databases & APIs** (Supabase, Firebase, PostgreSQL, MongoDB). - **Embed AI features**—GPT/ChatGPT, custom LLMs, vector search, recommendation engines. - **Implement authentication** and secure user flows. - **Set up payment processing** with Stripe or similar gateways. - **Deploy applications** on Vercel, Netlify, Replit, or cloud providers (AWS, GCP). - **Optimize performance & SEO** for mobile-first experiences. - Collaborate with product, design, and ML teams to iterate quickly from mockups to production. - Write clean, testable code and maintain documentation for handoffs and scaling. Required Skills & Experience | Category | Must-Have | Nice-to-Have | |----------|-----------|--------------| | **Languages** | JavaScript/TypeScript, Python | Dart (Flutter) | | **Frameworks** | Node.js, Express.js, React or Next.js | MERN stack, Shadcn | | **AI Tooling** | OpenAI API, custom LLM fine-tuning | Rasa, Botpress, n8n | | **Databases** | PostgreSQL, Supabase, MongoDB | GraphQL, Neo4j | | **DevOps & Hosting** | Vercel, Netlify, Replit | Docker, Kubernetes | | **Payment & Auth** | Stripe integration, OAuth/JWT | SOC 2 or HIPAA compliance | | **UI/UX** | Tailwind CSS, responsive design | Figma, Storybook | Who You Are - 3+ years building full-stack web applications. - Hands-on experience shipping at least one AI-enabled product or feature. - Comfortable owning projects end-to-end—from UI mockups through deployment. - Passionate about rapid prototyping, experimentation, and lifelong learning in the AI space. - Strong communication skills; able to explain technical decisions to non-technical stakeholders. What We Offer - Competitive salary + performance bonuses. - Remote-first culture with flexible hours. - Annual budget for conferences, courses, and hardware. - Opportunity to define engineering best practices in a fast-growing AI startup. How to Apply 1. Send your resume and a short note highlighting your most relevant AI projects. 2. Include a link to a GitHub repo or demo that showcases your end-to-end development skills. 3. We’ll schedule a 30-minute intro call, followed by a technical deep dive and portfolio review. Take your career to the next level by building the future of AI-powered web applications with us! #teceze

Job Description: In this role, you will: * Build full web and app products 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. 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. * Biweekly or monthly coaching with a senior Engineering mentor. About Us * We’re an early-stage AI startup, currently in stealth mode, led by a former Director of Insights at Meta. We've helped build products at Google, Uber and WhatsApp - all with a focus on world-class user experience at massive scale. * As a team, we're hard-working, impact-driven, and a little obsessed with solving meaningful problems for the underserved. * 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. Why join? * You love the challenges of a 0-1 product. * You operate autonomously and with accountability. You never miss deadlines. * You offer plans and ideas than expect to be told what to do * 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. Level - Suitable for Final Year Engineering graduates to upto 4 years of experience from reputable institutions like IITs only.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Software Engineer What you will do Let’s do this. Let’s change the world. Roles and Responsibilities Partner with senior automation engineers to develop high profile and complex automation projects and ensure quality and timely delivery of projects by working closely with the multi-functional team members (software development, business, IS, etc.) Contribute towards efforts to design, build, and develop rapid Proof-of-Concept (POC) automated solutions and services. Quickly and iteratively prove or disprove the concepts being considered. Work with process subject matter experts (SMEs) to understand key process requirements and transform them into digital automated solutions Be constantly curious and feed your passion and interests in groundbreaking technology. Use your given time to look for new, innovative and automated ways to do business differently, better, and more cost effectively. Collaborate with business partners to understand how automation can improve workflow and productivity Synthesize requirements from clients, customers or end-users to develop the best automation solutions. Work closely with other teams and Process Engineers to identify, stop, simplify business process waste to codify into automated solutions and platforms. 2-3 Experience with development and deployment of robotic process automation and other committed automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and intelligent decision-making. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years Preferred Qualifications: 2-3 Experience with development and deployment of robotic process automation and other intelligent automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and resourceful decision-making. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Roles and Responsibilities Support the development of automation solutions in collaboration with engineers and business stakeholders. Assist in building Proof-of-Concept (PoC) automation tools using RPA, Python, or low-code platforms. Help document and translate process requirements from subject matter experts into clear, automated workflows. Explore the use of AI technologies (e.g., OpenAI APIs) to support intelligent automation tasks like data extraction or document summarization. Participate in team meetings, agile sprint activities, and code reviews to grow your technical and business understanding. Contribute to identifying inefficiencies in existing processes and help implement automation-based improvements. Remain curious and eager to learn new technologies and practices in automation, AI, and digital innovation. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 2 to 6 years Preferred Qualifications: 1–3 years of experience working on automation-related projects (academic or professional) Exposure to RPA tools like UiPath, Automation Anywhere, or Power Automate Experience with at least one programming or scripting language, such as Python, JavaScript, or C# Understanding of how to translate business requirements into technical automation solutions Interest or experience using OpenAI APIs or other AI tools for tasks such as text analysis, classification, or intelligent forms Familiarity with building automation across cloud, SaaS, or on-premises environments What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cognitive Service and IBM AI Developer Required Skills on Cognitive Services, IBM and Python Natural Language Processing (NLP) Intent recognition and entity extraction NLP libraries: spaCy, Rasa NLU, NLTK, Transformers (Hugging Face) Language model fine-tuning (optional for advanced bots) Conversational Design Dialogue flow design Context management Multi-turn conversation handling Backend Development Programming languages: Python, Node.js Frameworks: IBM Watson/ Rasa/Botpress/Microsoft Bot Framework (self-hosted) API development and integration (RESTful APIs) Frontend & UI Integration Web chat UIs (React, Angular, Vue) Messaging platform integration (e.g., custom web chat, WhatsApp via Twilio, etc.) Voice interface (optional): integration with speech-to-text and text-to-speech engines Watson Assistant: Designing, training, and deploying conversational agents (chatbots and virtual assistants). Watson Discovery: Implementing intelligent document search and insights extraction. Watson Natural Language Understanding (NLU): Sentiment analysis, emotion detection, and entity extraction. Watson Speech Services: Speech-to-text and text-to-speech integration. Watson Knowledge Studio: Building custom machine learning models for domain-specific NLP. Watson OpenScale: Monitoring AI model performance, fairness, and explainability. Core Python: Data structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Required Skills on Other Skills (Front End) Component-Based Architecture: Building reusable functional components. Hooks: useState, useEffect, useContext, and custom hooks. State Management: Context API, Redux Toolkit, or Zustand. API Integration: Fetching and displaying data from API services. Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams Roles and Responsibilities: Understand existing application architecture and solution design Design individual components and develop the components Work with other architects, leads, team members in an agile scrum environment Hands on development Design and develop applications that can be hosted on Azure cloud Design and develop framework and core functionality Identify the gaps and come up with working solutions Understand enterprise application design framework and processes Lead or Mentor junior and/or mid-level developers Review code and establish best practices Look out for latest technologies and match up with EY use case and solve business problems efficiently Ability to look at the big picture Proven experience in designing highly secured and scalable web applications on Azure cloud Keep management up to date with the progress Work under Agile design, development framework Good hands on development experience required EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

JOB DESCRIPTION Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI ML Senior Associate at JPMorgan Chase within the Asset and Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Supports and develops an understanding of key business problems and processes. Advises a model development process, execute tasks including data wrangling/analysis, model training, testing, and selection. Strategically, implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Updates logically and conducts evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implements monitoring mechanisms to track model performance and ensure model reliability. Frequently communicates AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. From data analysis and modeling exercises, generate structured and meaningful insights and present them in an appropriate format according to the audience. Collaboratively, work with other data scientists and machine learning engineers to deploy machine learning solutions. As required by the business stakeholder, model risk function, and other groups, carry out ad-hoc and periodic analysis. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Brief: We are looking for a talented and motivated AI Developer with hands-on experience in developing custom AI Agents , Intelligent Bots , and Interactive Dashboards . You’ll be a key contributor to projects for our US-based clients, building real-time, scalable, and intelligent systems that enhance decision-making and automation. Responsibilities: Design and develop AI agents using frameworks such as LangChain, AutoGen, or similar Build and integrate chatbots into enterprise communication platforms (Slack, MS Teams, WhatsApp) Leverage LLM APIs such as OpenAI, Claude, Gemini, or open-source alternatives Develop robust backend systems using Python/Node.js for agent orchestration Work with NLP libraries like spaCy, NLTK, Transformers Fine-tune prompts and implement custom workflows in voice or text-based bots Interface with databases, vector stores, and APIs as required Work in agile environments with distributed global teams Skills Required: Strong hands-on experience with Python or JavaScript (Node.js) Familiarity with LangChain, Rasa, BotPress, or similar bot frameworks Knowledge of cloud services (AWS, GCP, or Azure) Understanding of REST APIs, webhooks, and middleware integrations Experience with LLMs and prompt engineering concepts Exposure to tools like Pinecone, Weaviate, Redis for vector storage How to Apply: Share your resume at hr@cognicsys.com

✅ Location: Bharatpur (On-Site) ✅ Job Type: Full-Time ✅ Experience: 1–2 Years ✅ Salary: ₹25,000 – ₹35,000/month (based on skills & experience) ✅Job Description: We are looking for a passionate and skilled Python Developer with experience in Machine Learning (ML) and Large Language Models (LLMs) to join our on-site team in Bharatpur . You'll be responsible for developing intelligent tools and solutions using open-source ML/NLP frameworks. ✅Key Responsibilities: Build and deploy ML/LLM-based solutions using Python Work on NLP tasks such as text classification, summarization, and chatbot development Integrate and fine-tune pre-trained LLMs (Hugging Face, OpenAI, etc.) Use libraries like Transformers, LangChain, scikit-learn, or TensorFlow Handle data collection, cleaning, vectorization, and embeddings Create APIs using Flask or FastAPI for ML model deployment Collaborate with the product and engineering teams for real-world use cases ✅ Required Skills: 1–2 years of hands-on experience in Python and ML/NLP Knowledge of LLM frameworks like Hugging Face, LangChain, or OpenAI Experience with vector databases like FAISS or Pinecone (preferred) Familiarity with Transformers, embeddings, tokenization Understanding of REST APIs and integration Good problem-solving and debugging skills ✅Good to Have: Experience with chatbot frameworks or RAG pipelines Exposure to tools like Gradio, Streamlit for UI prototyping Version control using Git Docker/basic deployment skills ✅What We Offer: Competitive salary with performance-based growth Opportunity to work on innovative AI projects locally Learning-focused culture and skill development Supportive and collaborative work environment 5-day work week (Mon–Fri) If you're excited about AI, Python, and real-world ML applications — apply now and join our team in Bharatpur! Job Types: Full-time, Permanent Pay: From ₹20,347.73 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Life insurance Paid sick time Provident Fund Location: Bharatpur, Rajasthan (Required) Work Location: In person

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Company Description Brilliant Brains is an AI-powered digital marketing agency that helps brands across various industries unlock performance through a combination of AI tools, strategic storytelling, and human-first marketing. We engineer predictable growth systems by scaling e-commerce sales, generating healthcare leads, boosting real estate conversions, and automating business funnels. Our services include AI-powered performance marketing, high-conversion sales funnels, strategic content systems, and lead generation campaigns. We work with D2C and e-commerce brands, healthcare clinics, real estate developers, service businesses, and more. Role Description What You'll Do: Build end-to-end automation workflows using Make.com, n8n , and AI APIs Integrate third-party tools, CRMs, WhatsApp platforms (like Interakt), and marketing dashboards Automate internal operations: KPI trackers, lead flows, campaign monitoring systems , and performance dashboards Collaborate with the performance & creative team to automate routine tasks like campaign reporting, client updates, and lead follow-ups Build internal bots using tools like Replit, Lovable AI , and other open-source/paid AI stacks Troubleshoot, test, and optimize automations for speed, scale, and reliability Research and suggest new AI tools and automation platforms we can integrate across departments ✅ Must-Have Skills: Deep hands-on experience in Make.com or n8n (you've built complex, multi-step flows) Solid understanding of APIs, Webhooks, and JSON Familiarity with tools like Replit, Lovable AI, OpenAI, Zapier, Interakt, Notion, Slack, Trello, Google Sheets, etc. Strong logical thinking, debugging, and system-building mindset Ability to work independently and ship fast 🔥 Bonus Points If You Built bots, agents, or automation tools from scratch using low-code platforms Have experience in marketing automation, campaign management, or tracking user KPIs Used AI agents like ChatGPT API, Claude, or HuggingFace models in automations Love building and optimizing internal tools for scale

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: AI Agent Software Engineer Company: Stickity Retail Pvt Ltd Location: North Delhi (On-site) Type: Full-Time | Immediate Joiners Preferred 🧠 About Us Stickity Retail Pvt Ltd is building a new generation of AI agents to automate eCommerce operations — customer support, returns, tracking, data insights, and more — using raw LLM APIs . No frameworks. Just efficient, custom-built logic, directly connected to OpenAI, Claude, and others. 🚀 What You’ll Be Doing Build and scale full-stack features using React + Next.js (frontend) and Node.js (backend) Create custom AI agents by directly integrating LLM APIs — OpenAI, Claude, etc. (no LangChain, no wrappers) Design context windows, tool-calling flows, memory handling, and conversation logic Build internal UIs, chat dashboards, and tools to manage agent behavior Write clean REST APIs, integrate third-party tools, and deploy on AWS (Lambda, S3, EC2) Efficiently use AI coding tools to ship faster without bloating the codebase Collaborate with founder and product team to move fast and solve real operational problems ✅ Must-Have Skills 2+ years experience with React, Next.js, Node.js, and MongoDB Solid backend skills (API creation, async handling, secure integrations) Experience working directly with LLM APIs — OpenAI, Claude, etc. Good understanding of how LLMs and machine learning models work under the hood (e.g. token limits, attention, embeddings, vector search) — no need to train models Experience implementing custom RAG flows , prompt chains, and context injection Familiarity with AWS deployments (Lambda, EC2, S3) Able to work independently, optimize for speed, and write clean, production-grade code ⚡ Bonus (Nice to Have) Built tools with external API integrations (e.g. Shopify, WhatsApp, etc.) Experience designing chat interfaces and managing agent memory/state Prior work with AI copilots, internal tooling, or process automation Strong product mindset and ability to debug creatively 🎯 Why Stickity Real problems, real ownership — not toy demos Build fast, clean, and custom — no bloated stacks Small team, high impact Early-stage product in a hot AI + eCommerce space Competitive salary + high growth opportunity

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Applied AI Engineer – LLMs, LangChain, Agentic Systems 📍 Location: Kochi (first 6 months) → Bangalore (long-term) 🕑 Experience: 2–3 years (must be hands-on) 📡 Mode: Full-time, on-site (hybrid possible after Kochi phase) 🧭 Reports To: AI Innovation Leader About the Role: We’re hiring a hands-on Applied AI Engineer to join a pioneering AI Innovation initiative at Geojit Financial Services, one of India’s most respected and long-standing financial services firms. As part of Geojit’s Vision 2030 strategy, we’re embedding AI across all layers of the business — from transforming customer experience to automating intelligence in operations, wealth, and capital market platforms. This role offers the unique opportunity to work directly with leadership, build real-world AI systems, and be part of the core team shaping the future of intelligent finance in India. What You’ll Work On: As part of the AI Innovation Center of Excellence (CoE), your responsibilities include: 🚀 AI Solution Development Build and deploy LLM-powered agents for real business use cases across customer service, research automation, internal knowledge retrieval, and document intelligence Design agentic AI workflows using LangChain — integrating memory, tools, retrievers, custom functions, and chaining logic Evaluate and integrate Text-to-SQL models that translate natural queries into live database queries Leverage AWS Bedrock and SageMaker pipelines for experimentation, deployment, and orchestration 📊 Data Engineering & EDA: Work with structured and semi-structured data (CSV, SQL, JSON, APIs) Perform Exploratory Data Analysis (EDA) using Plotly, Dash, or Streamlit for internal tools and decision support Assist in creating reusable tools, dashboards, or data layers to support ongoing experimentation 🛠️ Architecture & MLOps :Collaborate with the AI Lead and Infra teams to design scalable MLOps setup s Create or contribute to prompt optimization frameworks, RAG pipelines, evaluation frameworks, and agent monitoring tool s Integrate APIs, vector stores, document retrievers, and internal knowledge base s Required Skills :✅ 2–3 years hands-on experience with :LLMs and GenAI APIs – OpenAI, Cohere, Anthropic, etc . LangChain (must-have) – agents, tools, memory, multi-hop chains, and integration experienc e Agentic AI – experience designing task-based autonomous or semi-autonomous workflow s Text-to-SQL models – understanding of evaluation techniques and production concern s AWS ecosystem – especially SageMaker, Bedrock, Lambda, API Gatewa y Data wrangling & visualization – Pandas, SQL, Plotly/Dash/Streamli t Nice to have :Fintech domain exposur e Participation in AI/ML hackathons or open-source contribution s Familiarity with vector search, embeddings (FAISS, Weaviate, etc. ) Frontend integration knowledge for internal tools (basic Streamlit/Dash/Flask ) About the Project & Culture : You’ll be working in a startup-style team embedded inside a legacy enterprise—delivering quick iterations, visible impact, and cross-functional collaboration with leadership. The goal is to show business value in less than 100 days, and scale AI across :Capital Market s Wealth & Investment Advisor y Mutual Funds & Insurance Distributio n Internal Productivity System s About Geojit :Geojit Financial Services Ltd is a pioneer in India’s capital markets with a 38-year legacy, 1M+ clients, and presence across 500+ offices. With backing from BNP Paribas and KSIDC, Geojit has been a leader in digital innovation :India’s first online trading platform (2000 ) Early movers in mobile trading, Smartfolios, Funds Genie, and Portfolio Managemen t Now entering a new AI-led chapter under the leadership of Jayakrishnan Sasidharan (ex-Adobe, Wipro, TCS ) They are committed to delivering personalized, intelligent, and frictionless experiences to millions of investors — powered by AI, data, and design . Why Join Us ?Work on real GenAI deployments with measurable RO I Direct access to decision-makers, not just product manager s Be part of India’s next Fintech transformation stor y Hands-on exposure to enterprise-scale AI architectur e Build something that millions will use — not just a lab prototyp e 📩 How to Appl ySend your resume via WhatsApp (preferred) or email :📱 WhatsApp: +91 900800002 0📧 Email: sureshaisales@gmail.co m📝 Subject: “Applied AI Role – Geojit ”

Job Title: Digital Engineer – AI/ML & Automation Location: Hyderabad, Telangana Experience : 3 to 6 years of hands-on experience in digital engineering, business intelligence, AI/ML solutions, or automation technologies. Employment Type: Full-Time | 6 Days Working Notice Period: Immediate Joiners Preferred Key Responsibilities AI/ML & Generative AI Solutions : Design, develop, and deploy AI/ML models, intelligent agents, and tools using LLMs, Vertex AI, OpenAI APIs, and other cloud-based AI platforms. Data Engineering & Integration : Build and optimize data pipelines leveraging data lakes, data warehouses, and both structured and unstructured data sources to ensure high-quality, accessible data for analytics and automation. Business Intelligence (BI) : Develop and maintain interactive dashboards using Power BI and SAP Analytics Cloud (SAC), integrated with SAP S/4HANA and other enterprise systems. Application Development : Build responsive, user-centric web and mobile applications using low-code/no-code platforms such as Microsoft Power Apps, Google AppSheet, or equivalent tools. Automation & RPA : Identify and implement intelligent workflow automation using tools like UiPath, Zapier, Python scripts, and conversational AI agents (e.g., ChatGPT). Digital Process Optimization : Design and implement digital SOPs, automate business workflows, and support enterprise-wide digital transformation initiatives. Candidate Profile Technical Skills Proficient in Power BI or SAP Analytics Cloud dashboard development Hands-on with LLMs, generative AI tools, and APIs (e.g., ChatGPT, OpenAI) Skilled in Python, REST APIs, and RPA tools (e.g., UiPath) Strong grasp of SQL/NoSQL, data modeling, and API integrations Platform Expertise Experience with low-code platforms (Power Apps, AppSheet) Familiar with WordPress/Drupal CMS, DNS, and web hosting Working knowledge of Google Workspace administration

Career Lab Consulting Pvt. Ltd. (CLC) is hiring a Senior Agentic AI Developer to architect and build the world’s first autonomous AI-powered marketing system — replacing an entire marketing department using a multi-agent system. This is a zero-to-one leadership role with massive ownership and deep-tech innovation at its core. Position : Senior Agentic AI Developer Location : Remote (India Preferred | Hybrid Optional) Type : Full-Time | High Ownership Role CTC : ₹12–15 LPA (Fixed) + Performance Bonuses Apply : hr@careerlabconsulting.com WhatsApp HR Mamta: +91-8700827753 Your Mission You will single-handedly design and deploy a cost-efficient, tool-lite, fully autonomous Agentic AI system to run the marketing ops of InternX–AI — India’s flagship Agentic AI Career Accelerator. You’ll lead architecture, development, scaling, and mentor interns , enabling the system to operate without human intervention across: Content Creation CRM & Email Campaigns Paid Ads Management SEO Workflows Social Media Posting Lead Nurturing Analytics & Reporting What You`ll Build (in 90-120 Days) Multi-agent architecture with self-healing, planning, and memory Lightweight, cost-optimized stack (OSS > SaaS) End-to-end autonomous marketing workflows Trained an intern team to support and scale the AI system Interactive dashboards for business teams to control & review outputs Tech Stack You`ll Work • Python (async, FastAPI, LangGraph) • LLMs (OpenAI, Claude, LLaMA, Mistral, etc.) • Agent Frameworks (LangGraph, CrewAI, CAMEL, OpenAgents) • RAG + Vector DBs (FAISS, Chroma, Weaviate) • Prompt chaining, memory modules, toolformer logic • DevOps: Docker, Git, CI/CD • Web scraping, headless browsers, API agents Who We are looking For Zero-to-One Builder : You love uncharted territory Agentic Thinker : Not just prompt engineering — full autonomy loops Intern Mentor : You’re a leader who uplifts junior talent Cost Hacker : You always think ROI, not just API Future CTO DNA : You're thinking 3 years ahead, not 3 weeks Additional Skills • Agent simulations (AutoGPT/CAMEL-style dialogue agents) • Custom vector memory systems • RLHF or small model fine-tuning • Agentic learning from feedback loops Mentorship Duties You’ll lead and upskill a small batch of interns across: • LLM workflows and prompt chains • Python automation and agent-based systems • AI design logic for scalable execution • Real-time marketing agent delivery What You`ll Get Remote-first freedom with async flexibility Ownership of the first-of-its-kind Agentic AI platform Exposure to InternX–AI: India's flagship AI career tech brand Intern + DevOps support to let you focus on building Outcome-oriented culture with innovation at the core How to Apply Send us: • Your resume (or LinkedIn profile link) • GitHub/code samples or project write-ups (Notion-style preferred) • A short note: "An autonomous AI system you've built or want to build" Email: hr@careerlabconsulting.com WhatsApp HR Mamta: +91-8700827753 Subject Line: Senior Agentic AI Developer – Marketing Autopilot Project Not A Traditional Role This is not prompt engineering. This is not marketing automation. This is autonomous business execution — built from scratch. if you're ready to build the future, join us.

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

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

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

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

✅ Location: Bharatpur (On-Site) ✅ Job Type: Full-Time ✅ Experience: 1–2 Years ✅ Salary: ₹25,000 – ₹35,000/month (based on skills & experience) ✅Job Description: We are looking for a passionate and skilled Python Developer with experience in Machine Learning (ML) and Large Language Models (LLMs) to join our on-site team in Bharatpur . You'll be responsible for developing intelligent tools and solutions using open-source ML/NLP frameworks. ✅Key Responsibilities: Build and deploy ML/LLM-based solutions using Python Work on NLP tasks such as text classification, summarization, and chatbot development Integrate and fine-tune pre-trained LLMs (Hugging Face, OpenAI, etc.) Use libraries like Transformers, LangChain, scikit-learn, or TensorFlow Handle data collection, cleaning, vectorization, and embeddings Create APIs using Flask or FastAPI for ML model deployment Collaborate with the product and engineering teams for real-world use cases ✅ Required Skills: 1–2 years of hands-on experience in Python and ML/NLP Knowledge of LLM frameworks like Hugging Face, LangChain, or OpenAI Experience with vector databases like FAISS or Pinecone (preferred) Familiarity with Transformers, embeddings, tokenization Understanding of REST APIs and integration Good problem-solving and debugging skills ✅Good to Have: Experience with chatbot frameworks or RAG pipelines Exposure to tools like Gradio, Streamlit for UI prototyping Version control using Git Docker/basic deployment skills ✅What We Offer: Competitive salary with performance-based growth Opportunity to work on innovative AI projects locally Learning-focused culture and skill development Supportive and collaborative work environment 5-day work week (Mon–Fri) If you're excited about AI, Python, and real-world ML applications — apply now and join our team in Bharatpur! Job Types: Full-time, Permanent Pay: From ₹20,347.73 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Life insurance Paid sick time Provident Fund Location: Bharatpur, Rajasthan (Required) Work Location: In person

About Aeris: For over three decades, Aeris has established itself as a trusted leader in cellular IoT, playing a key role in enabling major IoT initiatives across various sectors such as Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. With our expertise in IoT technology, we cater to a vast global network of 7,000 enterprise customers, 30 mobile network operator partners, and a staggering 80 million IoT devices worldwide. Aeris is at the forefront of powering today's interconnected smart world with cutting-edge technologies and seamless connectivity that streamline management, enhance security, optimize performance, and drive growth. Our IoT Services at Aeris are purpose-built to cater to the unique demands of IoT, having been rigorously tested and proven at scale. We understand the complexities involved in implementing IoT solutions and take pride in simplifying the process for our clients. As a company, we are in a strong position, witnessing rapid growth both in terms of profitability and global presence. Operating in a dynamic market where technology is constantly evolving and new IoT solutions are emerging at a rapid pace, Aeris is a hub of innovation and growth. At Aeris, a few core principles guide our actions: 1. Customer-Centric Approach: Our decisions are anchored in prioritizing the needs of our customers above all else, followed by the interests of the company, our teams, and individual selves. 2. Culture of Innovation: Being a pioneer in a competitive industry with the potential to revolutionize global sectors, we believe in forging our own path and continuously striving to outpace the competition through innovation. 3. Emphasis on Integrity: Integrity forms the bedrock of our values at Aeris, evident in the conduct of our staff, management practices, and social impact initiatives. Integrity is ingrained in how we handle people, HR matters, and expect direct and respectful communication among employees and managers. 4. Ownership Mentality: We empower our teams to take ownership of problem-solving, fostering a culture of accountability, autonomy, and creativity. Job Description: Position: Lead SDET (Automation and GenAI), Automotive Experience: 7 to 12 Years Location: Noida/Gurgaon Key Responsibilities: - Strategic Automation Leadership: Design and implement robust, scalable, and intelligent test automation frameworks for cloud-based services. - Test Suite Development: Create automated test coverage across various layers such as functional, performance, security, and end-to-end using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber. - Code Quality Assurance: Conduct code reviews to maintain high standards in both application and test automation code. - CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) to facilitate faster releases. - Quality Strategy Definition: Lead QA planning, execution, and reporting for safety-critical systems with a focus on coverage and traceability. - Defect Management: Oversee defect lifecycle utilizing tools like JIRA, Zephyr, and Xray; leverage GenAI for efficient triage and RCA. - GenAI Integration: Identify, evaluate, and integrate Generative AI tools and techniques throughout the SDLC for automated test case generation, code optimization, and defect analysis. - Mentorship & Innovation: Guide junior engineers, promote AI-driven testing practices, and encourage continuous learning. - Agile Collaboration: Collaborate with cross-functional teams including Product, Dev, and DevOps to embed quality throughout the SDLC. Required Skills & Qualifications: - Experience: 7-12 years in QA/Automation with 2-3 years in a lead/senior role, cloud-native background preferred. - Automation Expertise: Proficient in Java, JavaScript, or Python for automation framework development. Strong skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. - GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiarity with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. - Cloud & Microservices: Experience in testing apps on AWS, Azure, or GCP in microservices-based architectures. - CI/CD & DevOps: Proficiency in Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. - Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and various testing methodologies covering functional, performance, security, and end-to-end aspects. - Soft Skills: Strong problem-solving, analytical thinking, communication, and collaboration abilities. Nice to Have: - Background in Automotive, Telematics, or IoT. - Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). - Experience with monitoring/logging tools (e.g., Grafana). - Expertise in performance tuning and system optimization for large-scale platforms. Join Us: - High-Impact Work: Contribute to next-gen connected vehicle solutions on a global scale. - Innovation-Driven: Operate at the forefront of automotive, cloud, and Generative AI technologies. - Growth Opportunities: Advance your career, take on leadership roles, and expand your skill set. - Inclusive Culture: Be a part of a diverse team that values different perspectives and fosters inclusive collaboration. - Collaborative Environment: Work alongside passionate professionals tackling real-world challenges. If you are a forward-thinking Lead SDET who thrives on technical challenges and is eager to shape the future of quality engineering utilizing Generative AI in the connected vehicle sector, we welcome your application! Note: Aeris may conduct background checks as part of the hiring process to verify the information provided and assess suitability for the role. The scope and nature of these checks will adhere to the relevant laws and regulations of the country where the position is based. Further details will be provided during the formal application process. Aeris is committed to diversity, embracing individuals from varying ethnicities, religions, and cultures, reflecting our inclusive and dynamic work environment.,