2099 Reinforcement Jobs - Page 47

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment • Provide floor support to Operations manager in running day to day operations working closely with Data Associates • Handle work prioritization and deliver based on business needs • Track and report ops metrics and ensure delivery on all KPIs and SLAs • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We’re looking for a highly creative and technically skilled Video Editor who can craft compelling, product-focused visual stories for a US tech-savvy audience. You’ll work closely with product marketing, design, and leadership teams to bring AI, Cloud, and Engineering innovations to life through impactful short-form videos. You must have the ability to transform raw footage, voiceovers, and visual assets into polished, platform-ready videos with tight editing, motion graphics, and narrative clarity — similar to this level of output: 📌 Appmod.AI – Code Modernization 📌 LinkedIn Product Launch 📌 Narrative & Motion Explainer Job Title: Video Editor Location: Remote Work Employment type : Fulltime What You’ll Be Doing: Edit high-quality 60–90 second videos using Adobe Premiere Pro, After Effects, or similar tools Incorporate motion graphics, transitions, kinetic typography, and visual storytelling that elevate the final product Collaborate with product and creative teams to storyboard and shape the message for clarity and impact Adapt videos to various platforms (YouTube, LinkedIn, Instagram), using appropriate formats, captions, pacing, and hooks Maintain consistent brand tone, color grading, sound design, and animation style across projects Manage tight timelines while maintaining exceptional quality What We’re Looking For Hands-on experience editing explainer/product/marketing videos for tech or SaaS companies Strong portfolio showcasing polished motion editing, storytelling, and platform-specific cuts Proficiency in Adobe Premiere Pro, After Effects, and Adobe Creative Suite Experience creating motion design assets: lower thirds, icon animations, product overlays Deep understanding of visual pacing, audience engagement, and retention in a short attention span environment Familiarity with platform nuances for LinkedIn, YouTube, Instagram Reels , etc. Strong communication and collaboration skills, with attention to detail and creative independence If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Who are we? Securin is a leading product based company backed up by services in the cybersecurity domain, helping hundreds of customers world wide gain resilience against emerging threats. Our products are powered by accurate vulnerability intelligence, human expertise, and automation, enabling enterprises to make crucial security decisions to manage their expanding attack surfaces. Securin is built on the foundation of in-depth penetration testing and vulnerability research to help organizations continuously improve their security posture. Our team of intelligence experts is one of the best in the industry and our comprehensive portfolio of tech-enabled solutions include Attack Surface Management (ASM), Vulnerability Intelligence (VI), Penetration Testing, and Vulnerability Management. These solutions allow our customers to gain complete visibility of their attack surfaces, stay informed of the latest security threats. Also, trends, and proactively address risks. What do we promise? We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritised remediation for every one of our client businesses. What do we deliver? Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks. Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry. Job Location : IIT Madras Research Park, A block, Third floor, 32, Tharamani, Chennai, Tamil Nadu 600113 Work Mode: Hybrid, Work from office - Chennai, 2 days a week Compensation : Up to 30LPA Job Title: Senior Software Engineer (With Machine Learning Experience) Job Description: We are seeking a skilled and motivated Python Engineer with 5+ years of professional experience , including at least 2 years of hands-on experience in Machine Learning (ML) . The ideal candidate will possess strong Python development skills, a deep understanding of object-oriented programming (OOP), and practical experience with NoSQL databases, especially MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is also required. This role is perfect for a developer who is not only proficient in backend engineering but also enthusiastic about applying ML concepts in real-world applications. You’ll work closely with cross-functional teams to develop and optimize scalable, reliable, and maintainable Python-based solutions. Responsibilities : Design, develop, and maintain Python applications with a focus on performance and scalability. Design systems with non-linear time complexity and efficient space usage across compute and storage. Ensure stateless, idempotent request processing with no in-memory state. Model schemas for future evolution, supporting increasing data volume and structural changes. Build and operate cloud-based SaaS applications with a focus on production reliability. Design includes not only functional code but also integrated monitoring, alerting, and health checks to ensure observability and operational excellence in a multi-tenant environment. Apply object-oriented programming (OOP) principles to craft reusable, modular code. Develop, implement, and optimize machine learning models in production environments. Leverage NoSQL databases like MongoDB for efficient data storage and retrieval. Work with cloud platforms (AWS, GCP, Azure) for application deployment and data services. Write and maintain robust unit and integration tests using test-driven development (TDD) practices. Participate in the full software development lifecycle — from requirements gathering to deployment. Collaborate with cross-functional teams, participate in Agile ceremonies, and contribute to technical discussions. Engage in code reviews and mentor junior team members where appropriate. Stay updated with emerging trends in Python development, machine learning, and software engineering best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. At least 2 years of hands-on experience with Machine Learning (model development, evaluation, and deployment). Strong understanding of OOP principles and real-world software design. Experience working with NoSQL databases, particularly MongoDB. Familiarity with TDD practices and writing unit tests. Practical experience with cloud platforms (AWS, GCP, or Azure). Proficiency with version control systems such as Git. Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. A proactive, self-motivated attitude with a passion for continuous learning. Preferred Qualifications: Hands-on experience in AI concepts including LLMs, prompt engineering, or traditional AI. Strong grasp of supervised, unsupervised, and reinforcement learning with practical experience in key ML algorithms (e.g., regression, SVMs, neural networks, clustering). Proficient with ML frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Solid foundation in math (linear algebra, calculus, probability, statistics) and understanding of optimization and loss functions. Experience with model serving using Flask, FastAPI, or TensorFlow Serving. Experience with Python ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Knowledge of Agile/Scrum methodologies and collaborative development workflows. What We Offer: A collaborative and innovative team environment. Opportunities to work on AI/ML-powered products and projects. Ongoing learning and career development opportunities. A dynamic culture focused on growth, curiosity, and problem-solving. If you're a Python developer with a strong foundation and a growing passion for machine learning, we’d love to hear from you! Why should we connect? We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion. At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home. If you are passionate about cybersecurity just as we are, we would love to connect and share ideas.

We are looking for a passionate and proactive Talent Development Associate to join our team and play a key role in building a future-ready workforce. In this role, you will lead initiatives focused on upskilling and reskilling internal talent across AI , Fullstack Development , and Cloud technologies . Your efforts will directly influence project readiness, business outcomes, and employee career growth. Video Assessment (Optional but Recommended) To fast-track your application, we encourage you to complete a short video assessment. It contains five general questions about your background and experience. The assessment can be taken on any device at your convenience Complete Your Video Assessment Here Key Responsibilities Design and implement structured learning paths in AI, Fullstack, and Cloud for internal engineering talent. Conduct skill gap analyses through performance data, feedback, and project needs. Build and maintain role-based competency frameworks aligned with business and delivery goal. Plan and manage bootcamps, certifications, and technical training—leveraging both in-house experts and external partners. Partner with tech leads to curate relevant, hands-on learning content tailored to real project use cases. Track participation, engagement, and outcomes of all training initiatives through dashboards and reports. Collaborate with Resource Management and Delivery teams to ensure trained talent is effectively deployed across projects. Maintain a real-time skills inventory to enable faster and smarter talent allocation. Work cross-functionally with HRBPs, Engineering Managers, and RMs to embed learning into overall workforce strategy. Engage with internal SMEs and external learning platforms to ensure high-quality content delivery and program effectiveness. What We’re Looking For Proven experience in Talent Developm en t, Learning & Development , or Competency Management in a tech-centric environment. Hands-on experience designing and executing technical upskilling programs or bootcamps for IT professionals. Strong familiarity with AI/ML, Fullstack development (e.g., JavaScript, React, Node.js, Python), and major cloud platforms (AWS, Azure, GCP) Experience working with LMS platforms and digital learning tools like Coursera, Pluralsight, LinkedIn Learning, or Udemy. Proficiency in data tools (e.g., Excel, Power BI) to track learning impact and training ROI. Familiarity with workforce planning tools or skill mapping platforms is a plus. Excellent project management and stakeholder coordination skills. Ability to translate technical training needs into effective learning experiences in partnership with SMEs and learning providers. Strong communication, facilitation, and collaboration skills. A data-driven mindset with a problem-solving approach to support talent mobility and workforce agility. Preferred Qualifications (Good to Have) Certifications in L&D such as ATD CPTD, Associate Professional in Talent Develop me nt, SHRM-CP , or Instructional Design. Technical certifications like AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader. About Techolution Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done r ight". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade A I to Real Wor l d AI.We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre Roles and Responsibilities 1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre

Designation: Sr. AI/ML Engineer Location: Gurugram Experience: 5+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, we’ve got quite a lot to offer. How about you? We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow’s idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Looking for Siemens EDA Ambassadors- QuestaSim (Simulation) R&D team (strong AI/ML background) This is your role In this role, you will, craft and develop AI/ML-driven algorithms and solutions to improve simulation tools' performance and capabilities. Contribute to building state-of-the-art engines and components, integrating machine learning techniques into simulation and verification workflows. Contribute to the development and improvement of production-quality components, algorithms, and engines while supporting and improving existing codebases. Solve complex, open-ended problems in collaboration with a senior group of engineers in a fast-paced and multifaceted environment. Apply technical expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies to achieve project milestones. Stay self-motivated, disciplined, and focused while driving innovation within the team. Required Qualifications We are seeking a graduate with Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field from an accredited institution. We value your experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new insights. Hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Knowledge of machine learning and deep learning frameworks. Strong understanding of Compiler Concepts, Optimizations, and parallel computing. Experience working on UNIX and/or LINUX platforms. Excellent problem-solving and analytical skills. Proven track record to work independently, take ownership of tasks, and deliver results A plus! Basic knowledge of Digital Electronics and concepts related to SystemVerilog, Verilog, and VHDL. Exposure to Simulation technologies or Formal-based Verification methodologies is a plus! We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

About Us Black Coffee Robotics builds specialized software for robots across all aspects of autonomy. We’ve helped companies deploy large-scale robotic systems—from warehouse robots and floor cleaners to lawn mowers, assistive arms, and autonomous boats. We also provide expert consulting in simulation, motion planning, and ROS/ROS2 development. We’re a small, fast-moving team passionate about shipping real-world robotics solutions with high technical rigor. Role & Responsibilities As a Robotics Intern , you'll contribute to developing and testing components for real-world robotic systems and simulations. You’ll work hands-on with: ROS2, Gazebo, Isaac Sim, Unity SLAM, Controls, Reinforcement Learning Simulation environments and robotics frameworks You’ll be mentored by experienced engineers, and work in a collaborative, remote-first setup. This role is remote (India-based) and may lead to a full-time opportunity based on performance. What We’re Looking For We’re seeking motivated builders with: Strong problem-solving and communication skills Experience with robotics hardware/software (sensors, actuators, controllers) Proficiency in C++ and/or Python Familiarity with ROS/ROS2 Exposure to Gazebo, Isaac Sim, or Unity (bonus) Self-driven, reliable, and comfortable working remotely Students pursuing a BTech, MTech, or PhD with a strong robotics background are welcome to apply Perks Work alongside passionate engineers solving real robotics problems Gain deep exposure to robotics software best practices Deploy systems to live fleets across the globe Get involved in open-source contributions Flexible hours and fully remote Competitive stipend Team offsites to exotic locations Opportunity to attend national and international robotics conferences If you're excited about robotics and want to build the future with us— apply now .

ABOUT FLUTTER ENTERTAINMENT: Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA: Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. OVERVIEW OF THE ROLE: Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Junior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . WHAT YOU WILL DO: Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. TO EXCEL IN THIS ROLE, YOU WILL NEED: A degree qualified in a STEM subject along with 2 t o 4 years of experience as a Data Scientist or ML Engineer . Proficiency in Python programming language and a deep understanding of statistical and machine learning techniques. Experience manipulating large datasets using SQL and Spark . Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques , such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods. Excellent ability to tell a story through data and explain technical concepts to partners. Ability to Manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) BENEFITS WE OFFER: Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This package includes: Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. WHY CHOOSE US: Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India.

Pre‑Primary Teacher Job Summary We're looking for a passionate Pre‑Primary Teacher to create a nurturing, stimulating learning environment for children aged 3–5. You’ll design and deliver age‑appropriate lesson plans focused on early literacy, numeracy, social skills, and play-based activities—while drawing on your tutoring experience to offer personalized support. Responsibilities & Duties Curriculum Delivery Design and implement engaging, developmentally appropriate lessons in language, math, art, music, motor skills, and social-emotional learning Assessment & Tracking Observe and assess each child’s growth. Maintain records to tailor support and inform caregivers .Leverage strategies from your tutoring background—like one-on-one instruction, targeted reinforcement, and personalized feedback—to support diverse learning needs .Foster a safe, inclusive, and well-managed space encouraging positive interactions and play .Communicate regularly with parents/guardians about their child’s progress, concerns, and developmental milestones .Work alongside co‑teachers, teaching assistants, and admin staff to maintain classroom resources and ensure compliance with educational standards .Participate in ongoing training; stay current with best practices. Hold valid First Aid/CPR certification and fulfill all licensing or background-check requirements Individualized Support Classroom Management Parent Engagement Collaboration Professionalism & Safety Job Types: Full-time, Permanent, Fresher Pay: ₹18,000.00 - ₹28,000.00 per month Schedule: Day shift Work Location: In person

Hello there! Infrrd here. Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. And Intelligent Document Processing (IDP) company helping enterprises extract, understand, and act on data locked in complex documents. Our solutions empower some of the world’s leading organizations in mortgage, insurance, construction, and manufacturing to automate what once seemed impossible. And now, we are on the lookout for a great Engineering Manager . What you will do: Plan and manage multiple parallel software development Supervise all software development activities like Requirements Gathering and Analysis, Design, Development, Testing and Roll Drive effective teamwork, communication and collaboration across cross functional Customer interaction, Stakeholder communication, Status reporting and issue/risk Performance management and mentoring for team What makes you good you ask? Strong Technical Foundation: 10-14 years of overall experience with 4-5 years of software development experience preferably in Java and 3+ years in leading or managing complex software development projects in Java. Experience in mortgage or insurance domain projects is a plus. Manage Complex Technical Projects: Employ Agile methodologies to efficiently manage multiple projects, prioritize tasks, and mitigate risks. Experience in client onboarding is a plus. Passion for AI: A genuine interest in the potential of AI to revolutionize industries and improve lives. Future-Proofing Skills: A willingness to learn and adapt to rapidly evolving AI technologies. Stay Updated on AI Trends: Continuously research and adopt emerging AI technologies like generative AI, reinforcement learning, and computer vision. Prior experience in a product-centric or SaaS environment is a plus. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. Looking forward to speaking with you!

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NA Minimum 18 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI – Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. AI Research and Innovation Lead – Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts in Agentic AI—developing autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities: -Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection. -Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents). -Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries. -Publish and present novel and innovative research findings in top AI venues. -Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers. -Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes – IITs, IISc, IIIT and ISI -Overall experience 10-15 years and Relevant experience (post PhD) 5+ years. -Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems. -Strong understanding of LLMs and their integration into agentic workflows. -Experience with frameworks like LangChain, AutoGPT, or similar. -Proven track record of innovation and publications. Additional Information: - The candidate should have minimum 18 years of experience in Computer Vision. - This position is based at our Bengaluru office. - A 15 years full time education is required.

What you’ll own Design & implement enemy / NPC behaviour using Behaviour Trees, GOAP or Utility AI. Integrate Unity NavMesh, custom path-finding and perception systems. Train & deploy ML-Agents (reinforcement / imitation learning) with Barracuda runtime. Build in-editor AI debug tools, heat-maps and visualisers for rapid iteration. Hook up SFX, VFX, UI events and telemetry; profile & optimise for 60 FPS on target platforms. Deliver clean, well-documented C# and Python pipelines; collaborate async via Git. Must-have 4 + years Unity C# with at least one shipped title featuring advanced AI. Hands-on Unity ML-Agents training cycles (reward shaping, curriculum learning). Solid Python + PyTorch or TensorFlow; experience running headless training in cloud/locally. Strong grasp of performance (burst, jobs, DOTS/ECS or multithreading). Comfortable working solo in a remote indie setup and hitting milestones. Nice-to-have Multiplayer bot experience (Netcode for GameObjects / Photon). Procedural content generation or AI-driven level design. Console, VR or AR deployment knowledge. Pay Competitive per-milestone rates, paid on approval. Apply Send (1) portfolio or GitHub, (2) résumé/LinkedIn, (3) a short note on the toughest AI problem you solved and how.

Role : AI / Generative AI Engineer Location : Remote ( Pan India ). Job Type : Fulltime. NOTE : "Only immediate joiners or candidates with a notice period of 15 days or less will be considered". Overview We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms : GCP : Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS : Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks : Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake : Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

Job Description : Machine Learning Engineer LLM, Agentic AI, Computer Vision, and MLOps Location : Ahmedabad Experience : 4 to 6 years Employment Type : Us : Responsibilities Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, wed love to have you on Responsibilities : Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency. Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation. Integration: Work closely with software and product teams to integrate models into production-ready applications. Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data. Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices. Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI. DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place. Technical Mentorship: Support and mentor junior ML and data : Core Technical Skills Strong Python skills for machine learning and computer vision. Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV. Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN). Strong knowledge of NLP tasks, image/video processing, and real-time inference. Experience in cloud platforms: AWS, GCP, or Azure. Familiarity with Docker, Kubernetes, and serverless deployments. Proficiency in SQL, Pandas, NumPy, and data wrangling & MLOps Skills : Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc. Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Familiarity with container orchestration and Kubernetes-based ML model deployment. Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon. Understanding of model versioning, model registry, and automated testing/validation in ML workflows. Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK Skills (Good to Have) : Knowledge of Agentic AI systems and use cases. Experience with generative models (e.g., GANs, VAEs) and RL-based architectures. Prompt engineering and fine-tuning for LLMs in specialized domains. Working with vector databases (e.g., Pinecone, FAISS, Weaviate). Distributed data processing using Apache Spark, Skills : Strong foundation in mathematics, including linear algebra, probability, and statistics. Deep understanding of data structures and algorithms. Comfortable handling large-scale datasets, including images, video, and multi-modal Skills : Strong analytical and problem-solving mindset. Excellent communication skills for cross-functional collaboration. Self-motivated, adaptive, and committed to continuous learning (ref:hirist.tech)

Job Description Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, And Skills Formal training or certification in applied AI/ML concepts and 5+ 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Job Description As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Job Responsibilities Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases. Liaise with firm wide AI ML stakeholders. Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements. Influence across business, product and technology teams and successfully manages senior stakeholder relationships. champion the firm's culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, And Skills Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise MS and/or PhD in Computer Science, Machine Learning, or a related field At least 10 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed. Preferred Qualifications, Capabilities, And Skills Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. 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.

As a Talent Development Associate, you will play a key role in nurturing Techolution’s most valuable asset, our people. This role focuses on driving onboarding, learning, and engagement initiatives to empower employee growth, boost performance, and support a strong culture of continuous development. You’ll collaborate with cross-functional teams, coordinate global learning programs, and ensure our talent feels supported and equipped for success from Day 1. Title: Talent and Development Associate Location: Remote Shift Time: 12-9PM Job Type: Full Time Key Responsibilities: Coordinate and deliver onboarding and orientation programs for new hires to ensure a smooth transition into the company. Support the design, scheduling, and execution of training programs across soft skills, technical, and leadership areas. Work closely with the Talent Development and HR team to identify skill gaps and development needs through feedback, surveys, and performance insights. Collect and analyze training effectiveness data and generate reports to improve learning outcomes. Assist in driving employee engagement initiatives , mentoring programs, and internal knowledge-sharing sessions. Ensure all mandatory compliance training is completed and documented. Provide day-to-day administrative support for talent development activities across the organization. Required Qualifications: 1–3 years of experience in Talent Development, Learning & Development, HR, or a similar role. Excellent communication and coordination skills with a passion for people and culture. Strong organizational skills and attention to detail. Ability to work independently in a fast-paced, AI focused environment. About Techolution: Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done right" . Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI . We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Advertising Cloud Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimizer’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers. The Opportunity This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends. What you'll Do Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/models Collaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe’s products and services, deliver value to clients and drive customer adoption Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level What you need to succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization Experience in developing, deploying and maintaining ML models in a production environment Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas Ideal Candidate Profile: A total of 10+ years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and services PhD or master’s in Computer Science/ Applied Math/Statistics/ related field. Experience and domain expertise in Digital ad technologies is desirable. Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Designation: Computer Vision Engineer Location: Noida Experience: 5+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Curriculum Design & Content Creation Develop structured training modules in AI/ML—covering data science fundamentals, machine learning algorithms, NLP, deep learning frameworks (TensorFlow, PyTorch)—aligned with real-world industry needs reddit.com+15futureleap.in+15skillnetlearning.com+15. Training Delivery & Facilitation Lead interactive classroom and lab sessions—online or in-person—fostering strong conceptual clarity through instruction and active learning reddit.com+10futureleap.in+10ajobthing.com+10. Hands-on Project Mentorship Guide learners in practical exercises—data pipelines, model training, evaluation—offering feedback, one-on-one coaching, and troubleshooting support. Assessment & Quality Monitoring Evaluate student progress with quizzes, assignments, and capstone projects; identify challenges, track metrics, and iteratively improve learning content skillnetlearning.com+2skillnetlearning.com+2reddit.com+2. Model Training & Data Preparation Collect, clean, and annotate data; train and fine-tune AI/LLM models (prompt engineering, reinforcement learning, etc.) to demonstrate techniques in a live classroom environment futureleap.in+5reddit.com+5ajobthing.com+5internshala.com. Stay Current with AI Trends Keep course content fresh by integrating the latest developments in AI—LLMs, MLOps, AI ethics—ensuring students get industry-relevant, cutting-edge training Job Type: Full-time Pay: ₹20,802.17 - ₹37,216.73 per month Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person

JOB DESCRIPTION Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills Formal training or certification in applied AI/ML concepts and 5+ 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. Flutter Entertainment India Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Senior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . What You Will Do Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. To Excel In This Role, You Will Need A degree qualified in a STEM subject along with 4 t o 6 years of experience as a Data Scientist or ML Engineer . Strong proficiency in PySpark with a deep understanding of statistical and machine learning techniques Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques, such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods Ability to manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) Benefits We Offer Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This Package Includes Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. Why Choose Us Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India .

We are looking for a passionate and curious Entry-Level AI & Machine Learning Engineer to join our innovative team. You will work on designing, developing, and deploying AI and ML models that drive intelligent features and automation across our products and services, with a focus on object detection, tracking, and reinforcement learning applications. Responsibilities Assist in developing machine learning models and algorithms for object detection, tracking, and reinforcement learning tasks. Analyze and preprocess large datasets, including annotated images and videos, for training and evaluation. Implement and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with software engineers and data scientists to integrate models into production systems. Participate in research and experimentation to improve model accuracy, efficiency, and robustness. Document processes and maintain reproducible workflows. Experience Level 0-2 years Requirements Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field. Strong foundation in Python and C++ programming for AI/ML development. Basic understanding of machine learning algorithms and data structures. Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Knowledge of computer vision techniques, especially object detection and tracking algorithms (e.g., YOLO, SSD, SORT, Deep SORT). Basic understanding of reinforcement learning concepts and algorithms. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Analytical mindset with strong problem-solving skills. Eagerness to learn and adapt in a fast-paced environment. Qualifications Internship or project experience in AI/ML, computer vision, or reinforcement learning. Understanding of deep learning concepts and neural networks. Experience with cloud platforms (AWS, Azure, GCP) for ML deployment. Familiarity with NLP or other AI subfields is a plus.

JOB DESCRIPTION As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Job responsibilities: Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases. Liaise with firm wide AI ML stakeholders. Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements. Influence across business, product and technology teams and successfully manages senior stakeholder relationships. champion the firm's culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills: Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise MS and/or PhD in Computer Science, Machine Learning, or a related field At least 10 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed. Preferred qualifications, capabilities, and skills: Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. 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.