Future Tech Jobs
Future Tech Jobs
NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as...
RDQ326R15The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers...
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
CSQ327R39We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect.You may know this role as a Big Data Solutions Architect,...
This role involves performing host and network-based forensics, malware analysis, and leading incident response engagements. You will work with advanced threats, produce high-quality reports, and develop mitigation strategies for Fortune 100 clients.
This role involves leading and scaling a high-impact intelligence program across Medtronic EurAsia, transforming market and customer insights into actionable intelligence. The position focuses on embedding a unified capability, bridging business objectives with AI-driven data solutions, and driving adoption across teams.
This role involves developing and maintaining security automation workflows and playbooks in SOAR platforms, scripting in PowerShell and Python, and integrating AI workflows to enhance SOC operations. You will collaborate with SOC analysts and engineering teams to identify automation opportunities and improve operational efficiency.
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.A Day in the LifeThis...
About the TeamOur team brings OpenAI’s most capable technology to the world through our products. We’ve released ChatGPT, o3, and Sora. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
About the TeamOpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of...
As a Security and Compliance Solutions Architect at AWS, you’ll build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.You’ll manage...
This role involves leading a team of data scientists to develop and deploy machine learning models that solve complex retail challenges like demand forecasting and routing optimization. The manager will mentor the team, collaborate with product and engineering, and ensure the technical quality and business value of ML systems.
This role involves leading a team of data scientists in developing and deploying machine learning models for logistics and retail challenges. The Data Science Lead will manage the entire ML lifecycle, from research to production, while mentoring the team and collaborating with product and engineering.
