We are looking for a highly motivated AI Developer with 2+ years of experience in building AI-powered chatbot agents and strong proficiency in Python . The ideal candidate should have hands-on experience with conversational AI platforms, natural language processing (NLP), and deploying intelligent virtual assistants that provide seamless user experiences. Requirements Design, develop, and deploy intelligent chatbot agents using Python and AI frameworks. Build and train NLP models for intent classification, entity extraction, and response generation. Work with platforms such as Rasa, Dialogflow, Microsoft Bot Framework , or OpenAI GPT-based tools . Integrate chatbots with web/mobile applications, CRMs, or third-party APIs. Write clean, scalable, and well-documented Python code to support AI logic and backend functionalities. Continuously evaluate and improve chatbot performance through analytics and feedback loops. Collaborate with product managers, designers, and developers to define bot workflows and use cases. Ensure data privacy, security, and compliance in AI-driven solutions Benefits 5 Day working On time salary inter- tech work Skill upgradation trainings Soft skills trainings Rewards and recognitions weekly de-stressing activities Show more Show less

We’re Hiring: AI/ML Engineer – Vertical AI Agents & SaaS Solutions Location: Pune | Experience: 5+ Years of relevant experience Are you passionate about building cutting-edge GenAI solutions and deploying large language models (LLMs) in real-world applications? At Left Right Mind, we’re on the lookout for an innovative AI/ML Engineer to join our team! In this role, you will: Develop & deploy AI/ML models to solve real business problems Optimize large language models (LLMs) for domain-specific applications Implement end-to-end ML pipelines — data preprocessing, training, evaluation Work with structured & unstructured data to derive insights Collaborate with engineers to bring models into production Stay updated with the latest in GenAI, RAG, and LLM research Use modern tools like LangGraph, Autogen, TensorFlow, PyTorch, etc. Deploy on cloud platforms like AWS, Azure, or GCP using Docker/Kubernetes What we’re looking for: 4+ years of experience in AI/ML Strong Python programming and ML framework experience Hands-on with LLMs like OpenAI GPT, Gemini, Claude, etc. Familiar with NLP, feature engineering, and model optimization Strong problem-solving and teamwork skills At Left Right Mind, we believe in the freedom to explore, question, and innovate. We’re driven by purpose and powered by curiosity. To apply, fill out the form: https://lnkd.in/dtdBVTHE For queries, reach out to: varad.deshpande@leftrightmind.com Requirements Requirements: 5+ years of experience in AI/ML Strong Python programming and ML framework experience Hands-on with LLMs like OpenAI GPT, Gemini, Claude, etc. Familiar with NLP, feature engineering, and model optimization Strong problem-solving and teamwork skills Show more Show less

load_list_page(event)"> Job listing Job details Job Information Date Opened 06/16/2025 Industry IT Services Job Type Full time City Pune City State/Province Maharashtra Country India Zip/Postal Code 411001 About Us CCTech 's mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications. We have two business divisions: product and consulting. simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process. Our consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world's leading engineering organizations, many of which are Fortune 500 list of companies, in achieving digital supremacy. Job Description We are seeking a passionate and skilled AI Engineer with over 2 years of hands-on experience to join our growing team. The ideal candidate will have an engineering background and a strong grasp of modern AI technologies, especially in Prompt Engineering, Agentic AI models, and production-grade AI workflows . You’ll play a key role in building intelligent systems that augment and automate real-world business processes. Responsibility Design, develop, and deploy AI-powered solutions using LLMs and agentic frameworks. Build and optimize prompt engineering strategies to ensure high-performance language model behavior. Create and maintain autonomous AI agents capable of executing complex multi-step task. Develop, test, and iterate on real-world AI workflows integrated into broader applications. Collaborate with product managers, designers, and engineers to translate business problems into scalable AI solutions. Monitor and fine-tune AI models in production for accuracy, performance, and cost-effectiveness. Stay current with emerging trends in generative AI, LLMs, agent-based architectures, and MLOps. Requirements 2+ years of hands-on experience in AI/ML engineering or applied NLP. Proven experience with Prompt Engineering and customizing large language model behavior. Experience developing or integrating Agentic AI frameworks (e.g., LangChain, AutoGPT, CrewAI, etc.). Strong understanding of LLMs (e.g., GPT-4, Claude, Mistral, Gemini, etc.) and how to apply them in workflow automation. Demonstrated ability to deploy working AI solutions and pipelines in production environments. Proficient in Python and relevant AI libraries (Transformers, OpenAI SDK, LangChain, etc.). Familiarity with RESTful APIs, cloud platforms (e.g., Azure, AWS, GCP), and version control tools (e.g., Git) Benefits Opportunity to work with a dynamic and fast-paced IT organization. Make a real impact on the company's success by shaping a positive and engaging work culture. Work with a talented and collaborative team. Be part of a company that is passionate about making a difference through technology. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2185D0;border-color:#2185D0;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description Job Location: Pune. Full time in person 5 days a week from Strategy Pune Office. Job Description: As an AI Delivery Engineer, you will play a critical role in deploying our Auto 2.0 bots across diverse customer environments. You will leverage your expertise in Strategy Software and Cloud platforms to ensure seamless integration and optimal performance. Your familiarity with container technologies will be essential in managing scalable and flexible deployments. If you are passionate about AI technology and have a proven track record in software delivery, we invite you to apply. Key Responsibilities: Deploy Auto 2.0 bots in customer environments, ensuring alignment with client-specific requirements and configurations. Collaborate with cross-functional teams to design and implement deployment strategies that meet business goals. Utilize Strategy Software to guide deployment decisions, optimizing the use of tools and technologies to achieve desired outcomes. Integrate AI solutions within cloud environments (AWS, Azure, GCP) to ensure robust, scalable, and secure deployments. Manage containerization of AI applications using tools such as Docker or Kubernetes to enhance deployment flexibility and performance. Troubleshoot and resolve technical issues that arise during deployment, providing timely support and solutions to clients. Partner with customer teams to deliver training and support, enhancing their understanding and use of deployed solutions. Document deployment processes, configurations, and client interactions to support continuous improvement and knowledge sharing. Stay updated with industry trends and technological advancements to ensure cutting-edge solutions for our clients. Qualifications: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Proven experience in deploying AI technologies or similar software solutions in enterprise environments. Strong understanding of Strategy Software principles and practices. Extensive experience with cloud environments (AWS, Azure, GCP) and their associated deployment strategies. Proficiency in containerization technologies such as Docker and Kubernetes. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and interpersonal skills, with the ability to work effectively in a team and client-facing role. Highly organized and detail-oriented, with a commitment to delivering quality solutions on time and within scope. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder. Show more Show less

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description Job Location: Pune. Full time 5 days a week from Strategy Pune office. Senior AI Engineer I We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Requirements Bachelor’s/Master’s degree in Computer Science or equivalent. A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as MicroStrategy preferred. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder. Show more Show less

About Us Screen Andragogy Platforms is a technology management solutions company for the screen industries. We empower industry professionals, organizations, and educational institutions with tools and data-driven insights. Committed to innovation, we leverage advanced analytics to uncover actionable intelligence that drives success across every stage of the creative process. From analyzing market trends and audience preferences to optimizing production and distribution strategies, our research provides unparalleled depth to inform strategic decision-making. Job Overview We are seeking a forward-thinking AI-UX Innovation Engineer with a strong foundation in frontend development and dashboard design to lead the user experience design for full-scale SaaS and AaaS products. This role blends creative design with intelligent systems, focusing on building intuitive, responsive, and AI-integrated dashboards that simplify complex workflows and bring clarity to data-driven insights. You will play a key role in shaping the end-to-end user journey of AI-powered software products—from wireframes to deployment-ready frontends. Join our innovation team through a 6 month mandatory internship, with an opportunity to transition into a full-time role based on performance ,because no direct Hriing policy for the company. This role is ideal for early-career developers (0–2 years experience) who want to work at the intersection of AI, media, and product innovation. Key Responsibilities Design and prototype complete SaaS product user experiences, including onboarding, dashboards, workflows, settings, and analytics views. Build intuitive and intelligent dashboards for SaaS and AaaS platforms, integrating real-time data, AI insights, and interactive visualizations. Collaborate with cross-functional teams (AI, product, backend, and business teams) to align product logic with user-friendly design. Translate user needs and AI-driven outputs into structured, responsive interfaces. Develop and maintain scalable frontend components using modern frameworks such as React, Vue, or Angular. Create consistent design systems and reusable UI elements that support long-term product scalability. Conduct usability testing and user research to refine user experience based on actual feedback. Work closely with AI engineers to ensure seamless integration of machine learning models and intelligent features. Required Skills Proven experience in designing and building full SaaS product interfaces and dashboards. Strong understanding of UX/UI design principles, especially for complex, data-heavy applications. Hands-on development experience with frontend frameworks like React (preferred), Vue, or Angular. Proficiency in Figma, Adobe XD, or similar design tools for prototyping and component design. Familiarity with AI/ML workflows, APIs (e.g., OpenAI, Hugging Face), and how they influence UX. Experience integrating API-driven content, dashboards, and analytics into responsive UIs. Ability to design for both SaaS (subscription-based software) and AaaS (custom AI agent services). Nice-to-Have Experience with data visualization libraries (e.g., Recharts, D3.js, Chart.js). Understanding of design systems and component-based architecture (e.g., Storybook, Tailwind). Background in B2B SaaS, media tech, or education technology. Knowledge of accessibility standards and performance optimization for web apps. Basic backend understanding for better collaboration (e.g., REST APIs, data structures). What You’ll Gain Opportunity to lead product UX for emerging SaaS and AaaS technologies. Exposure to real-world AI applications and intelligent user interface development. Creative freedom to shape the visual language and usability of scalable digital products. Work in a highly collaborative, cross-disciplinary, and innovation-driven environment. Show more Show less

Bison Global Search is seeking a Principal AI Engineer for a leading product company in Chennai . They work on some cutting-edge technologies in the BIOS Industry Please find below details about the role : Location: Chennai (please do not apply if you are not willing to relocate to Chennai) Company: Product Company (Leader in BIOS Products) Designation: Principal AI Engineer Skills Required: Python + RAG ( Retrieval-Augmented Generation) + Agentic AI Experience : 8 + years of experience as an AI engineer + Guiding and mentor a team of 3-5 AI engineers Please find below the complete JD. if this interests you, please apply to this email We are looking for a highly skilled Principal AI Engineer with deep expertise in Retrieval-Augmented Generation (RAG) and Agentic AI to lead our AI initiatives and drive innovation in FW and Data Center AI solutions . This role requires a strategic thinker who can design and deploy scalable AI architectures, integrate LLMs with retrieval-based techniques, and develop intelligent agentic systems that autonomously interact with data, APIs, and workflows. This role will lead the design and deployment of cutting-edge AI-driven solutions, focusing on LLMs for code synthesis, automated testing, and intelligent autonomous agents that enhance software development workflows with strong technical expertise, strategic vision, and leadership to build and deploy AI-driven products that align with business goals. Key Responsibilities: AI Strategy and Leadership: Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering Work with stakeholders to align AI capabilities with business objectives and software development needs Research and integrate cutting-edge LLMs and autonomous AI agent architecture into development processes. RAG & Agentic AI Development: Develop RAG pipelines that enhance AI‘s ability to retrieve relevant knowledge and generate context-aware responses. Build and optimize agentic AI systems that can interact with APIs, databases, and development environments (such as LangChain, OpenAI APIs, etc.) Implement AI-powered search, chatbots, and decision-support tools for software engineers. Fine-tune LLMs (GPT, Llama, Mistral, Claude, Gemini etc.) for domain-specific applications. Optimize retrieval mechanisms to enhance response accuracy, grounding AI outputs in real-world data Code generation & Test case Automation: Leverage LLMs to generate high-quality, production-ready code Develop AI-driven test case generation tools that automatically create and validate unit tests, integration tests, and regression tests Integrate AI-driven code assistants and programming agents into IDE and CI/CD workflows Optimize prompt engineering and fine-tuning strategies for LLMs to improve code quality and efficiency MLOps & Scalable AI Systems: Architect and deploy scalable AI models and retrieval pipelines using cloud-based MLOps pipelines (AWS/GCP/Azure, Docker, Kubernetes) Optimize LLMs for real-time AI inferencing , ensuring low latency and high-performance AI solutions. Collaboration: Work cross-functionally with product teams, software engineers, and business stakeholders to integrate AI solutions into products. Mentorship: Guide and mentor a team of 3-5 AI engineers in LLM fine-tuning, retrieval augmentation, and autonomous AI agents. Establish best practices for AI-assisted software development, secure AI integration, and bias mitigation. Research & Innovation: Commitment to staying updated with the latest AI and machine learning research and advancements . Ability to think creatively and propose innovative solutions to complex problems. Model Development: Ability to design, train, and evaluate various AI models , including LLMs and standalone models —familiarity with model training tools and frameworks like Hugging Face Trainer, Fairseq, etc . Required Qualifications: Education: Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field. Experience: 8+ years of experience in AI and machine learning, with at least 2 years of experience working on LLMs, code generation, RAG, or AI-powered automation . Technical skills: Proficiency in Python, Tensorflow, PyTorch, and LangChain Experience with LLM fine-tuning for code generation Strong expertise in vector databases (FAISS, Weaviate, Chroma, Pinecone, Milvus) and retrieval models Hands-on experience with AI-powered code assistants (Copilot, code Llama, Codex, GTP-4) Knowledge of automated software testing, AI-driven test case generation, AI-assisted debugging Experience with multi-agent AI systems (LangGraph, CrewAI, AutgoGen, OpenAI Assistants API) for autonomous coding tasks Knowledge of GoLang for building high-performance and scalable components and unit test case generation using CMocka is a plus. Hands-on model development, working with business stakeholders to define KPIs and develop and deliver multi-modal (Text and Images) and ensemble models. Develop novel approaches to solve firmware lifecycle management code generation and customer support issues. Implement advanced natural language processing and computer vision models to extract insights from diverse data sources , user-generated data, and images. Automate model lifecycle management . Stay updated with AI and machine learning technology advancements to drive Firmware Lifecycle Management. Analytical & Problem-Solving: Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights. Problem-Solving: Ability to troubleshoot and resolve technical issues related to AI models and systems. Research & Innovation: Continuous Learning: Commitment to staying updated with the latest research and advancements in AI and machine learning. Innovation: Ability to think creatively and propose innovative solutions to complex problems. Soft Skills: Communication: Excellent verbal and written communication skills. Adaptability: Ability to adapt to changing technologies and project requirements. Team Player: Strong interpersonal skills and the ability to work well in a team environment. Preferred Qualifications: Experience with deploying and maintaining AI models in production environments . Familiarity with RAG-specific techniques like knowledge distillation or multi-hop retrieval . Understanding of reinforcement learning and active learning techniques for model improvement . Previous experience with large-scale NLP systems and AI-powered search engines . Contribution to AI research, patents, or open-source development Show more Show less

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture, including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

This role is for one of Weekday's clients Salary range: Rs 2000000 - Rs 9000000 (ie INR 20-90 LPA) Min Experience: 4 years JobType: full-time Requirements 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 What You Get Full autonomy over your problem space A builder-first, no-handoff culture Remote-first flexibility (India preferred) Base + Variable + meaningful equity A product shipping to some of the world's most recognizable brands Show more Show less

The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. Zafin is privately owned and operates out of multiple global locations including North America, Europe, and Australia. Zafin is backed by significant financial partners committed to accelerating the company's growth, fueling innovation and ensuring Zafin's enduring value as a leading provider of cloud-based solutions to the financial services sector. Zafin is proud to be recognized as a top employer. In Canada, UK and India, we are certified as a "Great Place to Work". The Great Place to Work program recognizes employers who invest in and value their people and organizational culture. The company's culture is driven by strategy and focused on execution. We make and keep our commitments. What is the opportunity? This role is at the intersection of banking and analytics. It requires diving deep into the banking domain to understand and define the metrics, and into the technical domain to implement and present the metrics through business intelligence tools. We're building a next-generation analytics product to help banks maximize the financial wellness of their clients. The product is ambitious - that's why we're looking for a team member who is laterally skilled and comfortable with ambiguity. Reporting to the Senior Vice President, Analytics as part of the Zafin Product Team, you are a data-visualization subject matter expert who can define and implement the insights to be embedded in the product using data visualization tools (DataViz) and applying analytics expertise to make an impact. If storytelling with data is a passion of yours, and data visualization and analytics expertise is what has enabled you to reach your current level in your career - you should take a look at how we do it on one of the most advanced banking technology products in the market today - connect with us to learn more. Location – Chennai or Trivandrum India Purpose of the Role As a Software Engineer – APIs & Data Services, you will own the "last mile" that transforms data pipelines into polished, product-ready APIs and lightweight microservices. Working alongside data engineers and product managers, you will deliver features that power capabilities like Dynamic Cohorts, Signals, and our GPT-powered release notes assistant. What You'll Build & Run Approximate Focus: 60% API / 40% Data Focus Area Typical Work Product-Facing APIs Design REST/GraphQL endpoints for cohort, feature-flag, and release-notes data. Build microservices in Java/Kotlin (Spring Boot or Vert.x) or Python (FastAPI) with production-grade SLAs. Schema & Contract Management Manage JSON/Avro/Protobuf schemas, generate client SDKs, and enforce compatibility through CI/CD pipelines. Data-Ops Integration Interface with Delta Lake tables in Databricks using Spark/JDBC. Transform datasets with PySpark or Spark SQL and surface them via APIs. Pipeline Stewardship Extend Airflow 2.x DAGs (Python), orchestrate upstream Spark jobs, and manage downstream triggers. Develop custom operators as needed. DevOps & Quality Manage GitHub Actions, Docker containers, Kubernetes manifests, and Datadog dashboards to ensure service reliability. LLM & AI Features Enable prompt engineering and embeddings exposure via APIs; experiment with tools like OpenAI, LangChain, or LangChain4j to support product innovation. About You You're a language-flexible engineer with a solid grasp of system design and the discipline to ship robust, well-documented, and observable software. You're curious, driven, and passionate about building infrastructure that scales with evolving product needs. Mandatory Skills 4 to 6 years of professional experience in Java (11+) and Spring Boot Solid command of API design principles (REST, OpenAPI, GraphQL) Proficiency in SQL databases Experience with Docker, Git, and JUnit Hands-on knowledge of low-level design (LLD) and system design fundamentals Highly Preferred / Optional Skills Working experience with Apache Airflow Familiarity with cloud deployment (e.g., Azure AKS, GCP, AWS) Exposure to Kubernetes and microservice orchestration Frontend/UI experience in any modern framework (e.g., React, Angular) Experience with Python (FastAPI, Flask) Good-to-Have Skills CI/CD pipeline development using GitHub Actions Familiarity with code reviews, HLD, and architectural discussions Experience integrating with LLM APIs like OpenAI and building prompt-based systems Exposure to schema validation tools such as Pydantic, Jackson, Protobuf Monitoring and alerting with Datadog, Prometheus, or equivalent What's in it for you Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice. Show more Show less

Education: Bachelor’s or master’s in computer science, Software Engineering, or a related field (or equivalent practical experience). About the Role We’re creating an internal platform that turns data-heavy engineering workflows—currently spread across spreadsheets, PDFs, e-mail, and third-party portals—into streamlined, AI-assisted services. You’ll own large pieces of that build: bringing data in, automating analysis with domain–specific engines, integrating everyday business tools, and partnering with a data analyst to fine-tune custom language models. The work is hands-on and highly autonomous; you’ll design, code, deploy, and iterate features that remove manual effort for our engineering and project-management teams. What You’ll Do AI & LLM Workflows – prototype and deploy large-language-model services for document parsing, validation, and natural-language Q&A. Automation Services – build Python micro-services that convert unstructured project files into structured stores and trigger downstream calculation tools through their APIs. Enterprise Integrations – connect calendars, project-tracking portals, and document libraries via REST / Graph APIs and event streams. DevOps & Cloud – containerize workloads, write CI/CD pipelines, codify infrastructure (Terraform/CloudFormation) and keep runtime costs in check. Quality & Security – maintain tests, logging, RBAC, encryption, and safe-prompt patterns. Collaboration – document designs clearly, demo working proofs to stakeholders, and coach colleagues on AI-assisted development practices. You’ll Need 5+ years professional software-engineering experience, including 3+ years Python. Proven track record shipping AI / NLP / LLM solutions (OpenAI, Azure OpenAI, Hugging Face, or similar). Practical DevOps skills: Docker, Git, CI/CD pipelines, and at least one major cloud platform. Experience integrating external SDKs or vendor APIs (engineering, GIS, or document-management domains preferred). Strong written / verbal communication and the discipline to work independently from loosely defined requirements. Nice-to-Have Exposure to engineering or construction data (drawings, 3-D models, load calculations, etc.). Modern front-end skills (React / TypeScript) for dashboard or viewer components. Familiarity with Power Automate, Graph API, or comparable workflow tools. How We Work Autonomy + Ownership – plan your own sprints, defend technical trade-offs, own deliverables end-to-end. AI-Augmented Development – we encourage daily use of coding copilots and chat-based problem solving for speed and clarity. If you enjoy blending practical software engineering with cutting-edge AI tooling to eliminate repetitive work, we’d like to meet you. Job Types: Full-time, Permanent Pay: ₹80,000.00 - ₹90,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 30/06/2025

About Us Evangelist Apps is a UK-based custom software development company specializing in full-stack web and mobile app development, CRM/ERP solutions, workflow automation, and AI-powered platforms. Trusted by global brands like British Airways, Third Bridge, Hästens Beds, and Duxiana, we help clients solve complex business problems with technology. We’re now expanding into AI-driven services and are looking for our first Junior AI Developer to join the team. This is an exciting opportunity to help lay the groundwork for our AI capabilities. Role Overview As our first Junior AI Developer, you’ll work closely with our senior engineers and product teams to research, prototype, and implement AI-powered features across client solutions. You’ll contribute to machine learning models, LLM integrations, and intelligent automation systems that enhance user experiences and internal workflows. Key Responsibilities Assist in building and fine-tuning ML models for tasks like classification, clustering, or NLP Integrate AI services (e.g., OpenAI, Hugging Face, AWS, or Vertex AI) into applications Develop proof-of-concept projects and deploy lightweight models into production Preprocess datasets, annotate data, and evaluate model performance Collaborate with product, frontend, and backend teams to deliver end-to-end solutions Keep up to date with new trends in machine learning and generative AI Must-Have Skills Solid understanding of Python and popular AI/ML libraries (e.g., scikit-learn, pandas, TensorFlow, or PyTorch) Familiarity with foundational ML concepts (e.g., supervised/unsupervised learning, overfitting, model evaluation) Experience with REST APIs and working with JSON-based data Exposure to LLMs or prompt engineering is a plus Strong problem-solving attitude and eagerness to learn Good communication and documentation skills Nice-to-Haves (Good to Learn On the Job) Experience with cloud-based ML tools (AWS Sagemaker, Google Vertex AI, or Azure ML) Basic knowledge of MLOps and deployment practices Prior internship or personal projects involving AI or automation Contributions to open-source or Kaggle competitions What We Offer Mentorship from experienced engineers and a high-learning environment Opportunity to work on real-world client projects from day one Exposure to multiple industry domains including expert networks, fintech, healthtech, and e-commerce Flexible working hours and remote-friendly culture Rapid growth potential as our AI practice scales Show more Show less

AI Specialist / Machine Learning Engineer Location: On-site (hyderabad) Department: Data Science & AI Innovation Experience Level: Mid–Senior Reports To: Director of AI / CTO Employment Type: Full-time Job Summary We are seeking a skilled and forward-thinking AI Specialist to join our advanced technology team. In this role, you will lead the design, development, and deployment of cutting-edge AI/ML solutions, including large language models (LLMs), multimodal systems, and generative AI. You will collaborate with cross-functional teams to develop intelligent systems, automate complex workflows, and unlock insights from data at scale. Key Responsibilities Design and implement machine learning models for natural language processing (NLP), computer vision, predictive analytics, and generative AI. Fine-tune and deploy LLMs using frameworks such as Hugging Face Transformers, OpenAI APIs, and Anthropic Claude. Develop Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Weaviate, Qdrant). Productionize ML workflows using MLflow, TensorFlow Extended (TFX), or AWS SageMaker Pipelines. Integrate generative AI with business applications, including Copilot-style features, chat interfaces, and workflow automation. Collaborate with data scientists, software engineers, and product managers to build and scale AI-powered products. Monitor, evaluate, and optimize model performance, focusing on fairness, explainability (e.g., SHAP, LIME), and data/model drift. Stay informed on cutting-edge AI research (e.g., NeurIPS, ICLR, arXiv) and evaluate its applicability to business challenges. Tools & Technologies Languages & Frameworks Python, PyTorch, TensorFlow, JAX FastAPI, LangChain, LlamaIndex ML & AI Platforms OpenAI (GPT-4/4o), Anthropic Claude, Mistral, Cohere Hugging Face Hub & Transformers Google Vertex AI, AWS SageMaker, Azure ML Data & Deployment MLflow, DVC, Apache Airflow, Ray Docker, Kubernetes, RESTful APIs, GraphQL Snowflake, BigQuery, Delta Lake Vector Databases & RAG Tools Pinecone, Weaviate, Qdrant, FAISS ChromaDB, Milvus Generative & Multimodal AI DALL·E, Sora, Midjourney, Runway Whisper, CLIP, SAM (Segment Anything Model) Qualifications Bachelor’s or Master’s in Computer Science, AI, Data Science, or related discipline 3–7 years of experience in machine learning or applied AI Hands-on experience deploying ML models to production environments Familiarity with LLM prompt engineering and fine-tuning Strong analytical thinking, problem-solving ability, and communication skills Preferred Qualifications Contributions to open-source AI projects or academic publications Experience with multi-agent frameworks (e.g., AutoGPT, OpenDevin) Knowledge of synthetic data generation and augmentation techniques Job Type: Permanent Pay: ₹734,802.74 - ₹1,663,085.14 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience Minimum 2 year of experience in a customer support, operations, or service-oriented role — ideally within a creative or service-based industry Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight Preferred Qualifications Experience with WhatsApp Business API or Meta Graph API Familiarity with automation in publishing, e-commerce, or customer support environments Basic scripting knowledge in Python or JavaScript for handling edge cases.  Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Show more Show less

Location : Hauz Khas Delhi Experience : 0-1 years Salary : 15k-25k Working days : 5.5 days(Rotational Sat off & Sun fix off) Job Summary: We are seeking a detail-oriented and creative Prompt Engineer to design, refine, and optimize prompts for large language models (LLMs) like GPT, Claude, or Gemini. As a Prompt Engineer, you will collaborate with product teams, data scientists, and developers to create high-performing, context-aware prompts that deliver consistent and accurate results. Key Responsibilities: Design, test, and iterate on prompts for various AI use cases (chatbots, search, summarization, code generation, etc.) Evaluate model outputs for accuracy, consistency, tone, and bias. Work closely with product managers and engineers to translate business requirements into effective AI behaviors. Build prompt libraries, templates, and frameworks for reuse across products. Fine-tune and structure prompts for specific model types and APIs (e.g., OpenAI, Anthropic, Google PaLM). Develop evaluation metrics and benchmarks for prompt performance. Stay updated on LLM advancements, prompt engineering techniques, and ethical AI practices. Requirements: Bachelor's degree in Computer Science, Linguistics, AI/ML, or a related field (or equivalent experience). Understanding of natural language processing (NLP) and large language models. Strong analytical and critical thinking skills. Excellent command of written English; attention to detail in tone, style, and intent. Hands-on experience with LLM APIs (e.g., OpenAI’s GPT-4, Claude, Gemini). Familiarity with prompt tuning, few-shot and zero-shot learning. Preferred Qualifications: Experience with Python and AI/ML tools. Knowledge of UX writing or technical writing is a plus. Familiarity with vector databases and retrieval-augmented generation (RAG). Experience in deploying AI applications in production. Benefits: Competitive salary Opportunities to work on cutting-edge AI projects Learning budget and access to AI research resources Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: AI: 1 year (Preferred) LLM: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience Minimum 2 year of experience in a customer support, operations, or service-oriented role — ideally within a creative or service-based industry Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight Preferred Qualifications Experience with WhatsApp Business API or Meta Graph API Familiarity with automation in publishing, e-commerce, or customer support environments Basic scripting knowledge in Python or JavaScript for handling edge cases Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Leave encashment Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What is your age ? Do you have your own Laptop? As we don't provide . Willing to commute to office as it's onsite Role? Work Location: In person

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role- SRE Labs, part of PayPal’s Site Reliability Engineering (SRE) organization, is seeking a Staff Software Engineer to lead and shape our Generative AI (GenAI) practice. In this high-impact role, you’ll architect and deliver scalable, production-grade AI solutions—ranging from intelligent chatbots to next-gen automation tools. You'll bring deep engineering expertise and a passion for AI innovation to transform how PayPal builds resilient and intelligent systems. This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability. Job Description: Your way to impact In this role, you’ll drive the adoption of Generative AI across PayPal’s Site Reliability Engineering organization by building intelligent, scalable platforms—like AI-powered chatbots and predictive systems—that enhance system reliability and engineering productivity. Your work will enable automation at scale, reduce operational toil, and deliver real-time insights that empower engineers across the business. As a technical leader in SRE Labs, you’ll shape how reliability engineering evolves at PayPal, influencing architecture, best practices, and product direction. You’ll be part of a collaborative, high-performance team that brings cutting-edge technology into mission-critical environments. Your day to day In your day to day role you will Lead the design and development of GenAI -driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases. Build and deploy machine learning models in production using technologies like Python , , LangChain , LLM APIs (OpenAI, Anthropic, Azure OpenAI), Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions. Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs. Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms. Mentor engineers, share best practices, and help evolve PayPal’s GenAI strategy and engineering standards. What do you need to bring - A Bachelor’s or Master’s degree in Computer Science , Engineering, or a related field—or equivalent practical experience. 8 + years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture. Proficiency in Python, React.js, and Node.js, with hands-on experience building scalable applications and services. Hands -on expertise with LangChain , , lang graph, RESTful APIs and cloud platforms including deploying models in production. Strong understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems. Solid knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems. A proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments. You have good analytical and problem-solving skills. Strong verbal and written communication skills. Flexibility and willingness to learn new technologies and adapt quickly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

About the Role We are seeking a Full Stack Developer who is passionate about building intelligent, scalable web applications. The ideal candidate thrives in a fast-paced environment, has a strong grasp of both frontend and backend frameworks, and brings innovative thinking with AI integration capabilities Responsibilities Design, develop, and maintain scalable web applications using Next.js , Vue.js/Nuxt , React , and NestJS Build RESTful and GraphQL APIs using NestJS Design and optimize MySQL databases for performance and scalability Integrate and experiment with AI models to enhance product capabilities Collaborate with cross-functional teams in an agile environment Apply logical reasoning to solve complex problems and create efficient workflows Write clean, maintainable, and testable code Participate in code reviews, daily stand-ups, and sprint planning Required Skills Proficiency in JavaScript/TypeScript and modern frameworks ( Next.js , React , Vue.js , Nuxt ) Strong backend experience with NestJS , Node.js , and API design Experience with MySQL , including schema design and optimization Familiarity with AI/ML technologies (e.g., OpenAI, TensorFlow, LangChain, or similar APIs/libraries) Solid understanding of logical reasoning, data structures, and algorithms Strong debugging, troubleshooting, and performance tuning skills Ability to thrive in team-based environments and contribute to collaborative success Nice to Have Experience deploying apps on GCP , AWS , or Vercel Familiarity with Docker, CI/CD, and version control (Git) Basic understanding of UI/UX design principles Experience working in agile/scrum settings Why Join Us? Supportive, friendly work culture that values collaboration and creativity Negotiable salary based on skills and experience Opportunity to work with AI-driven products in an innovative environment Ongoing learning and career growth opportunities How to Apply Send your resume, portfolio (if available), and a brief note about your recent project to careers@nanonino.com . Let’s build the future together! Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Shift availability: Night Shift (Preferred) Work Location: In person Application Deadline: 20/06/2025

Are you passionate about building cutting-edge AI applications that make real-world impact? We're looking for a skilled AI Engineer to join our team at a fast-growing SaaS-based company in Pune. Who Were Looking For: An experienced AI Engineer with 5+ years of hands-on experience in developing and deploying AI/ML solutions using the Python stack, with deep knowledge of modern AI/ML frameworks and agentic technologies like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, and more. Educational Background: B.Tech/M.Tech in Computer Science from Tier 1 institutions only (IITs, NITs, IIITs, BITS Pilani) Key Responsibilities: Develop and deploy scalable, AI-powered applications using Python Build intelligent systems using advanced frameworks (LangChain, Hugging Face, PyTorch, TensorFlow, etc.) Create robust APIs for integrating AI into web and cloud applications Apply MLOps for streamlining model deployment, CI/CD, and monitoring Collaborate with cross-functional teams to align AI capabilities with business needs Manage deployments on AWS, Azure, or GCP, ensuring high performance and security Troubleshoot production issues and deliver timely resolutions Continuously explore and experiment with emerging AI technologies. Tech Stack & Skills: Python, REST APIs, AI/ML agentic frameworks PyTorch, TensorFlow, Hugging Face, OpenAI APIs Cloud: AWS, GCP, or Azure | Docker, Kubernetes MLOps, CI/CD, Git, automation frameworks Strong grasp of data processing and machine learning fundamentals. Soft Skills: Curious, self-driven, and collaborative mindset Passion for innovation in AI/ML Excellent problem-solving and communication skills. Location: Pune Mode: Full-time, 5-day Work from Office Client: Leading SaaS-based product company

Proficient in Python, Node.js (or Java), and React (preferred). Experience with AWS Services: S3, Lambda, DynamoDB, Bedrock, Textract, RDS, Fargate. Experience in LLM-based application development (LangChain, Bedrock, or OpenAI APIs). Strong in NLP and embeddings (via SageMaker or third-party APIs like Cohere, Hugging Face). Knowledge of vector databases (Pinecone, ChromaDB, OpenSearch, etc.). Familiar with containerization (Docker, ECS/Fargate). Excellent understanding of REST API design and security. Experience handling PDF/image-based document classification. Good SQL and NoSQL skills (MS SQL, MongoDB). Preferred Qualifications: AWS Certified – especially in AI/ML or Developer Associate. Job Types: Full-time, Fresher, Internship Pay: ₹554,144.65 - ₹1,500,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Job Description Global Data Insight & Analytics organization is looking for a top-notch Software Engineer who has also got Machine Learning knowledge & Experience to add to our team to drive the next generation of AI/ML (Mach1ML) platform. In this role you will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers from distributed locations, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (like OpenAI’s GPT, Facebook’s FBLearner, etc.) to deliver next-gen analytics innovation. We strongly believe that data has the power to help create great products and experiences which delight our customers. We believe that actionable and persistent insights, based on high quality data platform, help business and engineering make more impactful decisions. Our ambitions reach well beyond existing solutions, and we are in search of innovative individuals to join this Agile team. This is an exciting, fast-paced role which requires outstanding technical and organization skills combined with critical thinking, problem-solving and agile management tools to support team success. Responsibilities What you'll be able to do: As a Software Engineer, you will work on developing features for Mach1ML platform, support customers in model deployment using Mach1ML platform on GCP and On-prem. You will follow Rally to manage your work. You will incorporate an understanding of product functionality and customer perspective for model deployment. You will work on the cutting-edge technologies such as GCP, Kubernetes, Docker, Seldon, Tekton, Airflow, Rally, etc. Position Responsibilities: Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Ford Agile Framework. Work with Data Scientists and ML engineers to tackle challenging AI problems. Work specifically on the Deploy team to drive model deployment and AI/ML adoption with other internal and external systems. Help innovate by researching state-of-the-art deployment tools and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest GCP, CICD, ML technologies Critical Thinking: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit. Modelling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, decision trees, neural networks, etc. Analytics: Leverage rigorous analytical and statistical techniques to identify trends and relationships between different components of data, draw appropriate conclusions and translate analytical findings and recommendations into business strategies or engineering decisions - with statistical confidence Data Engineering: Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality Visualization: Build visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using applications such as Seaborn, Qlik Sense/PowerBI/Tableau/Looker Studio, etc. Qualifications Minimum Requirements we seek: Bachelor’s or master’s degree in computer science engineering or related field or a combination of education and equivalent experience. 3+ years of experience in full stack software development 3+ years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years’ experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, Streamlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Our Preferred Requirements: Master’s degree in computer science engineering, or related field or a combination of education and equivalent experience. Demonstrated successful application of analytical methods and machine learning techniques with measurable impact on product/design/business/strategy. Proficiency in programming languages such as Python with a strong emphasis on machine learning libraries, generative AI frameworks, and monitoring tools. Utilize tools and technologies such as TensorFlow, PyTorch, scikit-learn, and other machine learning libraries to build and deploy machine learning solutions on cloud platforms. Design and implement cloud infrastructure using technologies such as Kubernetes, Terraform, and Tekton to support scalable and reliable deployment of machine learning models, generative AI models, and applications. Integrate machine learning and generative AI models into production systems on cloud platforms such as Google Cloud Platform (GCP) and ensure scalability, performance, and proactive monitoring. Implement monitoring solutions to track the performance, health, and security of systems and applications, utilizing tools such as Prometheus, Grafana, and other relevant monitoring tools. Conduct code reviews and provide constructive feedback to team members on machine learning-related projects. Knowledge and experience in agentic workflow based application development and DevOps Stay up to date with the latest trends and advancements in machine learning and data science. Show more Show less

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of AI Senior Engineer In this role you’ll be leveraging Azure’s advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain; Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. Document AI and Data Extraction, Build AI-driven workflows for extracting structured and unstructured data fromLearning, receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval; Optimize RAG workflows for large datasets and low-latency operations. Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health; Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions; Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Proven experience with Machine Learning, Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence, AWS Bedrock, SageMaker; Proficiency in building and optimizing RAG systems for document retrieval and comparison. Strong understanding of AI/ML concepts, including natural language processing (NLP), embeddings, model fine-tuning, and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications; Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness; Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. Knowledge of ethical AI practices and responsible AI frameworks. Experience with CI/CD pipelines using Azure DevOps or equivalent tools; Familiarity with containerized environments managed through Docker and Kubernetes. Knowledge of Azure Key Vault, Managed Identities, and Azure Active Directory (AAD) for secure authentication. Experience with PyTorch or TensorFlow. Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Show more Show less

Company Overview Expertia AI is a deep-tech SaaS platform creating an AI Recruiter to improve the hiring process with the goal to make hiring in real-time a reality! Expertia started in 2021 and now serves more than 15,000+ companies. It has become a leading platform in India, with over 23 million professionals. Our customers include startups and companies like Zepto, Google, NoBrocker, Reliance Jio, and many more. We are backed by marquee investors like Chiratae Ventures, Endiya Partners, and Entrepreneurs First. But most importantly, we’re growing at a phenomenal pace, and that means exponential growth and learning opportunities for you, plus a band of passionate and fun people to work with within a place where your ideas take precedence over your designation. Are you passionate about building AI-powered applications using the latest LLMs like GPT, Llama, and Gemini? Do you enjoy working with Python, Flask, and AWS , developing crawlers, scrapers, and data mining pipelines to extract insights from resumes, job descriptions, and public datasets? At Expertia AI , we’re on a mission to revolutionize recruitment with AI-driven solutions. As an AI Engineer , you’ll play a critical role in building scalable applications that leverage LLMs, NLP, and automation to transform how companies find top talent. What You’ll Do Develop and optimize crawlers, scrapers, and data pipelines to extract structured insights from job-related content. Build AI-powered applications using OpenAI, GPT, Llama, Gemini, and other cutting-edge models. Work with Flask, Python, and AWS to deploy scalable AI services. Collaborate with a dynamic team of AI researchers, engineers, and product leaders to create intelligent recruiting solutions. What We’re Looking For Strong expertise in Python, Flask, and AWS deployment. Hands-on experience with web scraping, data mining, or crawling large-scale datasets. Familiarity with LLMs, NLP, and AI model integration. Experience working with APIs, databases, and scalable architectures. Bonus: Knowledge of Vector databases, RAG (Retrieval-Augmented Generation), and AI-based search. Why Join Us? 🚀 Impactful Work: Build AI that transforms hiring at scale. 🌍 Cutting-Edge Tech: Work with the latest LLMs and AI innovations. 💡 Growth & Learning: Fast-paced, high-growth startup culture with opportunities to lead. 🤝 Collaborative Team: Join passionate AI & ML experts shaping the future of recruitment. We'd love to hear from you if you’re excited to build AI-first applications that redefine hiring ! Apply now and be part of the next wave of AI-driven recruitment. Show more Show less

AI Lead with React Experience (5–7 years) We’re looking for a dynamic AI Lead who brings a strong foundation in full-stack development along with hands-on AI/ML expertise. The ideal candidate will thrive in cross-functional teams and contribute to building scalable, intelligent applications. 💻 Tech Stack 🔹 Frontend: React.js, Next.js, Redux, TypeScript, Tailwind CSS 🔹 Backend: Node.js, Express.js, Python (FastAPI, Flask) 🔹 AI/ML: TensorFlow, PyTorch, OpenAI APIs, Scikit-learn, LangChain 🔹 Data & Databases: PostgreSQL, MongoDB, MySQL, Redis, Pandas, NumPy 🔹 DevOps & Tools: Docker, Kubernetes, GitHub Actions, AWS, GCP, CI/CD pipelines 🔹 Others: REST APIs, GraphQL, WebSockets, Agile/Scrum Note: This role will involve close collaboration with our Delhi office during the initial months, offering great opportunities for cross-site teamwork and alignment. Interested candidates can share their resumes at: teamhr@appfabs.in Show more Show less