Side jobs

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and

Pfizer Part Time Universe - Marketing Part Time Turkey - Istanbul posted: Posted Yesterday

Embedded Software Development Engineer II, Amazon Robotics Firmware North Reading, Massachusetts, USA Join Amazon Robotics' Embedded software team to tackle one of the most exciting challenges in robotics: creating intelligent safety systems that enable humans and robots to work safely side-by-side. We're looking for embedded software engineers who want to work at the intersection of hardware and software, writing code that powers our global fleet of fulfillment robots. Your embedded software will run on a large-scale fleet of robotics systems deployed across our global fulfillment network. The code you write directly supports warehouse associates in their daily work, enables efficient order fulfillment, and advances the capabilities of autonomous robotics in real-world operations. In this role, you'll collaborate across multiple engineering disciplines, working with mechanical, electrical, cloud software, fleet management, manufacturing, cybersecurity and field support teams. You'll explore the latest development of AI and secure edge development on resource-constrained embedded systems while adhering to rigorous safety standards and implementing deterministic behavior that protects people interacting with automated robotic solutions. Key job responsibilities - Design and develop embedded software for safety-critical robotics systems using modern languages (C/C++/Rust, or willingness to learn), with a focus on writing clean, maintainable code that meets safety and reliability standards - Leverage modern development tools including AI-assisted coding tools and LLMs to enhance productivity, code quality, and development velocity - Collaborate across disciplines with hardware engineers, manufacturing teams, robotics specialists, and software developers to deliver integrated solutions from concept through deployment and field support - Contribute throughout

Frigoriste CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 30+ Days Ago

Business Developer III, Careers Marketing, North American RME Strategic Workforce Development Team Dallas, Texas, USA Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: In this high-impact role, you will directly shape how 33,000+ RME Amazonians are recruited, developed, and retained. Your workforce strategies will unlock organizational potential, close critical skill gaps, and fuel the growth of one of Amazon's most essential teams. You will be the catalyst that connects data-driven insight with human-centered solutions-bridging the gap between where RME is today and where it needs to be tomorrow. As the Business Developer III, Strategic Workforce Development, your workforce strategies will directly shape how talent is identified, developed, and retained across a global RME network. You'll collaborate side-by-side with RME senior leaders, HR, Operations, and Finance to co-create people strategies that drive real business outcomes. You'll build executive-level analytics frameworks and decision-support tools that empower leaders to act with confidence and clarity. Thrive in Amazon's customer-obsessed, metrics-driven environment, where your ideas and innovations drive lasting change across the organization. Key job

Registered Nurse*Float RN* 01908 - Hialeah Artificial Kidney Cent posted: Posted 7 Days Ago

Specialist Solutions Architect, Agentforce Contact Center California - San Francisco The contact center is undergoing its most significant transformation in decades. Enterprises are moving away from fragmented, channel-siloed platforms toward unified, AI agent-first systems where autonomous agents and human representatives work side by side, powered by real-time CRM data and connected across every customer touchpoint. Agentforce Contact Center is Salesforce's answer to that shift - a native, agentic platform that brings voice, digital channels, intelligence, and customer context together in one place. We are looking for a Specialist Solutions Architect to be the hands-on, customer-facing technical expert for the Agentforce Contact Center portfolio, embedded within the Product Management organization. This is a high-impact individual contributor role at the intersection of product, field, and customer success - where your architectural depth and customer obsession directly shape how enterprises deploy and scale agentic contact center experiences. Some travel is required. You will work directly with strategic customers and prospects to design, validate, and accelerate their Agentforce Contact Center deployments. You bring deep domain expertise in enterprise contact center architecture, voice and digital channels, and agentic AI - and you use it every day to make customers successful. You will also serve as the product team's most direct connection to the field: surfacing customer insights, validating roadmap priorities, and shaping how Agentforce Voice and broader agentic-first experiences are built and delivered at scale. Responsibilities Be the hands-on technical expert for strategic customer engagements: Own the technical architecture for complex Agentforce Contact Center deployments,

Opérateur de production - Soir Boisbriand posted: Posted 16 Days Ago

Sales Representative I - Triveneto Verona, Verona, Italy posted: Posted Today

Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Madrid, Community of Madrid, ESP This position can be based in either Madrid or Berlin. Are you passionate about using data to create shopping experiences that feel genuinely personal? We're looking for a Senior Business Intelligence Engineer to lead the way we build and scale personalised recommendations for millions of customers across ten European marketplaces. In this role, you'll sit at an exciting intersection of business intelligence, data engineering, and data science. You'll build on top of Amazon's world-class personalisation infrastructure - consuming real-time customer intent signals, blending them with large-scale EU retail data and engagement metrics, and applying custom processors and matching models to surface the right product at the right moment. Think complement strategies that inspire follow-on purchases, discovery strategies that introduce customers to new categories, and inspiration experiences that tap into individual browsing and purchase patterns - all layered on top of centralised recommendation systems and enriched with EU-specific intelligence that you build and own. This is more than a traditional data role. On the data science side, you'll develop custom models using Python and Spark to understand customer-product affinity at scale, applying techniques like embeddings modelling and customer persona matching to power EU-specific personalisation strategies built on top of Amazon's global recommendation infrastructure. On the engineering side, you'll build and deploy the internal tooling that puts these capabilities directly in the hands of marketing teams - writing production-grade Python services, building serverless infrastructure with AWS Lambda

Senior Software Engineer - AI/ML, AWS Neuron Inference Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a

Soudeur Monteur Sorel-Tracy posted: Posted 30+ Days Ago

Applied Scientist , Rufus Experience Science Seattle, Washington, USA Amazon Rufus Experience Science is seeking a highly motivated Scientist who is passionate about building next-generation shopping experiences. In this role, you will help create conversational shopping journeys where customers can express any shopping need-discovering products, comparing options, finding inspiration, or resolving post-purchase issues. You will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features. You will thrive in this role if you enjoy bringing latest research into everyday life-both for customers and for yourself. There's nothing quite like realizing that a model you deployed yesterday is already improving your own shopping experience today. You will work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation. You'll also have access to Amazon's rich datasets, AWS's massive computational resources, and a network of world-class science and engineering leaders across the company. Key job responsibilities Execute the science vision and roadmap. Develop data-driven solutions for the real-world, large scale problems. Deliver and maintain software and models in the production environment. Collaborate cross-functionally between product, design, and engineering. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in state-of-the-art deep

Alternant Transport International Douane F/H Villeurbanne posted: Posted 30+ Days Ago

Product Specialist / Solution Architect - Agentforce Contact Center Australia - Sydney About the Role The contact center is undergoing its most significant transformation in decades. Enterprises are moving away from fragmented, channel-siloed platforms toward unified, AI agent-first systems where autonomous agents and human representatives work side by side, powered by real-time CRM data and connected across every customer touchpoint. Agentforce Contact Center is Salesforce's answer to that shift - a native, agentic platform that brings voice, digital channels, intelligence, and customer context together in one place. We are looking for a Specialist Solutions Architect to be the hands-on, customer-facing technical expert for the Agentforce Contact Center portfolio, embedded within the Product Management organization. This is a high-impact individual contributor role at the intersection of product, field, and customer success - where your architectural depth and customer obsession directly shape how enterprises deploy and scale agentic contact center experiences. Some travel is required. You will work directly with strategic customers and prospects to design, validate, and accelerate their Agentforce Contact Center deployments. You bring deep domain expertise in enterprise contact center architecture, voice and digital channels, and agentic AI - and you use it every day to make customers successful. You will also serve as the product team's most direct connection to the field: surfacing customer insights, validating roadmap priorities, and shaping how Agentforce Voice and broader agentic-first experiences are built and delivered at scale. Responsibilities Be the hands-on technical expert for strategic customer engagements: Own the technical architecture for

Senior Civil/Structural Engineer 4 Locations posted: Posted 14 Days Ago

Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an

Representant de territoire/Territory Representative 2 Locations posted: Posted 30+ Days Ago

Schaufelmonteur (m/w/d) Birr posted: Posted 21 Days Ago

Principal Data and AI Architect Spain - Madrid Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Overview of the Role As an AI and Data Technical Architect, you will act as a senior, hands-on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side-by-side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. Responsibilities Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape

Senior Product Data Scientist, Google Photos Sydney NSW, Australia Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user. Analyze user trends utilizing related tools (e.g., SQL, R, Python). Help to solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach an solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Define and report on Key Performance Indicators (KPIs) to align business direction with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Identify growth opportunities for the product and business through analysis, insights and communication. Collaborate across teams to align resources and direction. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience in collaborating with engineers, product managers on product-centric insights. Excellent Python/R programming skills. Excellent communication or presentation skills.

Pashto & Dari Reston, VA posted: Posted 30+ Days Ago

Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization Seattle, Washington, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, and many more. The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance. Key job responsibilities This role will help lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency

Health Solution Partner Colombia - Cali posted: Posted Today