Junior Production Support Analyst Jobs

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into running inference clusters without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference. You'll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster's desired state. Success looks like eliminating manual provisioning work, not documenting it better. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. Build the self-service API: design declarative

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. About the role We’re looking for a Designer based in our Shanghai studio. You will work on the full spectrum of creative projects – visual identity, packaging, campaigns, activations, brand guardianship and more. You will work closely with Senior Designers and Design Directors to ensure that the creative brief is challenged, and that solutions are insightful, confident and inspirational – delivered in a unique way. About you You will already have worked in a similar role for around 3–6 years, with a range of brand design experience for clients in the region, and your portfolio will be full of inspiring examples of your work across multiple touchpoints - visual identities to branded environments and everything in between. You’ll have a keen eye for detail and impeccable crafting skills, but equally i

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our Finance junior. About us Retail Insights is Northern Europe’s leading retail forum. We are strengthening the retail ecosystem by building a platform for insights, inspiration, and networking, connecting more than 3,000 leaders yearly from more than 15 countries. Retail Insights is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. What we offer you As our Finance Junior you get the unique opportunity to be a key player in building one of our portfolio companies. By providing you with the ownership of our finances, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in London and to ensure a never ending growth curve, we provide you with: To work with a high growth international company with super brands. Great prospects of personal growth and development in the company. Best in class finance training. Ability to make a contribution and gain the recognition. Great company culture. Your Responsibilities Your responsibilities will vary; however, some of them will be to: The role would entail both accounts payable and accounting receivable functions. Ensuring daily accounting transactions are posted into Zero. Assisting with budget trackers / cost reconciliations for conferences (this will be a new process and requires the careful tracking of invoices). Assisting with the production of monthly finance reports across the business, Assisting with ad-hoc finance projects and assisting with the implementation of new finance processes. What we expect from you You possess an u

About Clutch We’re on a mission to reinvent the way people buy, sell, and own cars. Are you game? Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10‑Day Money‑Back Guarantee… and that’s just the beginning. Named five years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Founded in 2016 and headquartered in Toronto, Clutch currently operates in Alberta, British Columbia, Nova Scotia, New Brunswick, Ontario, and Prince Edward Island. Clutch is backed by world-class investors including D1 Capital Partners, Canaan, BrandProject, Real Ventures, Upper90, FJ Labs, Global Founders Capital, and Azure Capital Partners. About the role We are looking for a Junior Photographer to join our Production team! This role ensures all Clutch vehicles are photographed to the highest standards and accurately represented in our database. You will work closely with the reconditioning and logistics teams to ensure vehicles are shuttled, photographed, and uploaded efficiently. What you’ll do Handle company camera equipment to take high-quality interior and exterior vehicle photos Inspect vehicles for cleanliness and identify any imperfections that fall outside Clutch’s standards Shuttle vehicles between warehouses and outside lots as needed Follow a standard shot list for each vehicle to maintain consistency, proper exposure, and composition Edit and upload photos to the company’s administrative application (cropping, straightening, exposure) Provide feedback to the team on process improvements and workflow optimization Collaborate with reconditioning, detailing, and logis

SYNOPSIS: The Manufacturing Co-Op role is designed for high school juniors and seniors seeking entry-level experience in production. As a Co-Op, you will perform various tasks associated with assembly, ensuring the quality of your work. This position offers the flexibility to work in teams, small batch production, or flow lines. This opportunity aims to provide valuable hands-on experience in production, with the potential for future apprenticeship opportunities. Projected start date: Fall 2026 RESPONSIBILITIES: May be required to operate various hand tools and other equipment. Has the ability to read and understand production documentation and drawings. Understands basic electronics concepts and can follow wiring schematics. Performs final assembly, electrical testing, and packaging of various assemblies Performs screening and separation of various parts Responsible for recording assembly time data and completion of all associated routing, quality inspections, and other related forms Performs miscellaneous assigned tasks Assist in other Production areas as needed Focus on increasing productivity in all activities Follow necessary PPE requirements, appropriate ISO specifications and company procedures. Performs other related duties as assigned. QUALIFICATIONS: Must be a junior or senior in high school. Must be at least 16 years of age by the start of the role. Strong organizational skills. Ability to read and comprehend English written production documents. Basic computer skills. Consistently demonstrate a positive attitude toward all aspects of work Apply effort and energy to lifelong learning and strive to continually grow Knowledge of and desire to work in a production environment. ESSENTIAL JOB FUNCTIONS: Must be willing to be cross trained in several assembly functions to meet constantly changing production requirements Must be willing to be moved into various work centers in order to meet production requirements or where skills best serve departm

Role Description Responsible for the entire F&B Production Key Responsibilities Plan the kitchen operations i.e. Menu Manpower workflow procurement QHSE & training for the kitchen production team Direct the preparation seasoning and cooking of salads soups fish meats vegetables desserts or other foods. May plan and price menu items order supplies and keep records and accounts. Will work on the range with the kitchen team to train guide & develop Take charge of the assigned kitchen/s of operations Monitor sanitation practices to ensure that employees follow standards and regulations Prepare Produce and Present food to the agreed standard and quality with proper presentation and prepared to the agreed profit accordance with company policy Organize all resources within the kitchen for optimum productivity and use Prepare cook and produce food with particular emphasis on presentation hygiene and economy Plan and cost regular and party menus on weekly basis in co-ordination with the Manager / site In-charge to ensure variety and healthy options Assist Manager / site In-charge in indenting for provisions and discipline Responsible to allocate duties for all kitchen staff Responsible for implementing company discipline and HR policies Develop and train junior staff at the site to take on more responsibilities in the future Ensure proper cleanliness of the kitchen equipment and the kitchen area Observe safety rules and procedures Ensure that equipment and materials are maintained as per standards Report and take action in relation to any accident incident fire loss or damage Ensure proper grooming and hygiene from all staff in the production unit Ensure proper sorting of stores items and maintain the stores including meat fish vegetables and Dairy products and stored under correct temperatures in Chiller and freezer containers Plan interesting menus for p

We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production. Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems. Own key features or components, ensuring they are well-structured, efficient and easy to maintain. Make technical decisions and contribute to system design with attention to performance, cost and reliability. Collaborate with product managers, designers and data scientists to turn business needs into practical solutions. Share knowledge and mentor junior team members, helping them grow their technical skills. Review code and provide clear, constructive feedback to peers. Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc. Understand optimization techniques to improve accuracy, performance and cost for GenAI applications. Job qualifications Technical Skills Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). F

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification crite

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification crite

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. You will work remotely from Germany and will be reporting to Sr. Director, Engineering You Will: Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. Architect multi-agent solutions selecting the right coordination pattern for each customer's workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn't done. Lead Solutions Enablement Sprints: transfer AI deployment patterns to so

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification crite