Average salary: $158,229 /yearly
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- ...complex environment. Deep hands-on proficiency with the Microsoft Azure AI stack (Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning). Practical experience building and evaluating LLM-based solutions, RAG architectures, prompt engineering, and Anthropic...Suggested
- ...At least 2 years of applied AI/ML engineering experience with production deployments. Strong Python skills and experience with machine learning frameworks such as PyTorch and JAX. Demonstrated experience building and deploying AI agents, orchestration frameworks, or...SuggestedFull time
- ...Azure OpenAI, OpenAI, and prompt-driven automation solutions. • Experience leveraging UiPath Document Understanding, AI Center, machine learning models, or intelligent document processing capabilities. • Strong understanding of automation design principles, exception...SuggestedFull timeSide jobLocal area
- ...industry experts, and shape the future of AI within our organization. What you’ll be doing; ~Design, develop, and implement AI and machine learning models for data-driven applications. ~Work with large-scale datasets to build and improve predictive models. ~Build AI...SuggestedFull time
- ...train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No... ...large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in...SuggestedContract workRemote job
- ...robust data models and DAX. Experience developing automation solutions and improving business workflows. Exposure to AI, machine learning or Generative AI applications in a commercial environment. Strong analytical mindset with the ability to communicate...SuggestedFull time
- ...building the platform that powers how teams work safely and productively every day. We empower engineers to learn new skills and use technology - including IoT, machine learning, and event-driven architectures - to solve real customer problems. As a Staff Engineer in the...SuggestedPermanent employmentFull timeImmediate start
- ...chase a perfect model nobody uses. You want to find and drive where AI actually helps people get things done. What the candidate will learn & how will they develop at Canva: Apply ML at the scale of Canva's global user base, where a small improvement can change how...SuggestedFull timeWork at officeRemote jobShift work
- ...Lakehouse , Git, CI/CD, Docker, and Infrastructure as Code (Terraform/CloudFormation). Preferred Skills Experience with Machine Learning pipelines, MLOps, and Generative AI in SageMaker. Data Modelling experience. Enterprise-scale AWS implementation experience...SuggestedPermanent employmentFull time
- ...concepts Telecommunication Industry experience Conceptual knowledge of Infrastructure as Code (e.g., Terraform) Exposure to machine learning, reporting, data sharing, data intensive application oriented use cases Extensive experience in consulting with business...SuggestedPermanent employmentFull time
- ...infrastructure. Be able to work at least 3 days per week. LEARNING OUTCOMES & RESPONSIBILITIES: You will gain hands-on... ...Exposure: Preparing and curating high-quality datasets for machine learning and AI model training. Collaborating with data scientists...SuggestedPermanent employmentPart timeInternshipHybrid workRemote jobFlexible hours3 days week
- ...that will serve tens of millions of users in the near future. We empower engineers to learn new skills and use technology to solve customer problems, including initiatives in IoT, machine learning, and event-driven architecture. This role is part of our Best Fit job match...SuggestedPermanent employmentFull timeHybrid workImmediate startFlexible hours
- ...As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust...SuggestedFull time
- ...may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an...SuggestedHybrid workLocal areaWorldwide
- ...evolve. We’re building a specialized AI Security capability to address the unique challenges that come with deploying AI and machine learning at scale. As a Staff Security Engineer, you’ll operate at the intersection of security engineering and AI innovation - pioneering...SuggestedFull timeWork at officeRemote job
- ...from an unclear starting point through to a practical outcome. Learning speed, judgement and communication matter just as much as deep engineering... ...’ experience across 1 or more of the following; AI engineering, machine learning engineering, data engineering, or modern data platform...Full timeWork at officeWork from homeFlexible hours
- ...service and product offerings. Additionally, the role is responsible for engineering design, development, and deployment of machine learning (ML) models and Gen-AI agentic applications that solve complex problems and enhance our products and services. This role will work...Full timeHybrid workFlexible hours
- ...Deloitte’s AI & Data team is transforming how businesses leverage cloud-native technologies to solve complex challenges in data, machine learning, and AI. As a Director, you will lead strategic initiatives, drive innovation, and deliver impactful solutions for our clients....Full timeFlexible hours
- ...experienced ML/AI practitioner who doesn't just use models and AI tools - you build them. Someone who can design, train and ship machine learning and GenAI systems end-to-end, and who enjoys leading clients through hard, ambiguous problems to get there. This is a hands-on...Hybrid work
- ...factor and agent in order to identify opportunities to optimise profitable growth through necessary changes. ~Statistical and / or machine learning modelling to optimise areas of the business ~Train, validate, and fine-tune models using large datasets, ensuring high accuracy...Full timeTemporary work
- ...YOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes...Full time
- ...Skills, Knowledge and Expertise ~ Degree in a relevant field such as computer science / engineering, software engineering, machine learning, mathematics or a related quantitative discipline, or equivalent practical experience ~3-5 years of relevant programming experience...Work at officeLocal areaRemote jobFlexible hours2 days week3 days week
- ...Sydney or Melbourne location Use analytics, machine learning and AI to help protect customers from fraud and scams. Build practical solutions in a collaborative, fast-moving fraud environment. Work with modern cloud platforms and AI-assisted development tools. *...Fixed term contract
- ...making on our biggest and most interesting business challenges. You'll develop advanced data science and AI solutions, leveraging machine learning and the latest AI technologies to solve complex business problems. Working closely with cross functional teams, you'll help...Full timeHybrid workWork at office
- ...experts in device identification, device intelligence, fraud detection, real time systems, Software as a Service (SaaS) applications, machine learning, and data analytics. Agile engineering team using concepts such as Scrum, Continuous Integration, self-organizing teams, and...Full timeOnlineWork from home
$150,000 - $250,000
...understanding of distributed systems, asynchronous architectures, and security by design. Experience designing and delivering AI, machine learning, or generative AI solutions. Excellent communication skills with the ability to influence and guide senior stakeholders....Hybrid workWork at officeFlexible hours- ...ELT pipelines, streaming solutions, data modeling, and governance. Business Impact : Enables analytics, personalization, and machine learning by ensuring data quality, scalability, and compliance. Key Responsibilities Cloud Data Engineering Pipeline Development...Permanent employment
- ...able to solve themselves, drawing on our deep range of capabilities: software engineering, experience design, data and analytics, machine learning and AI. About The Role We are looking for a consultant who combines deep engineering capability with strong consulting and...Hybrid work
- ...role particularly interesting is the opportunity to work directly in the AI layer . You'll integrate and work with generative and machine-learning models, build inference and generation workflows, and develop applications that allow users to interact with these technologies...Full time
- ...~ Familiarity with infrastructure-as-code, CI/CD, or DevOps practices. ~ Exposure to data engineering, analytics, or machine learning workflows. Why Deloitte? At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating...Full timeFlexible hours
