Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
This role involves applying machine learning and advanced analytics to real-world health and care challenges. You will design, build, and deploy robust ML solutions, ensuring high standards for data governance, ethics, and privacy, while collaborating with data scientists and engineers to translate business needs into effective technical solutions.
As an ML Engineer, you will work on building a foundational intelligence platform that transforms fragmented information into durable institutional intelligence. Your responsibilities will include designing and deploying ML models for knowledge extraction, reasoning systems, and agentic workflows, while ensuring robustness and scalability in production environments.
As a Senior Data Science Engineer, you will design and deliver production-grade Python solutions, work with relational databases, and implement machine learning techniques. You will also contribute to CI/CD practices, build reusable Python packages, and mentor junior team members to enhance the team's engineering capabilities.
Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech...
This role involves owning the technical strategy and roadmap for node lifecycle management, including ingestion, bring-up, health checking, and automated repair of compute resources. You will drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerators, ensuring high reliability and efficiency in Anthropic’s AI research infrastructure.
This role involves designing and building robust data pipelines, working with structured and unstructured data, and contributing to scalable cloud-based data platforms. You will collaborate with analysts and engineers to ensure data quality and accuracy, and have the opportunity to work on large-scale, modern data projects with clear career progression.
This role involves conducting research and implementing solutions in areas like model architecture, algorithms, and data processing for large language models. You will lead small projects, collaborate on larger initiatives, and optimize training infrastructure to ensure AI systems are safe, steerable, and trustworthy.
This Data Engineer role involves building and maintaining scalable data pipelines on AWS, supporting cloud migration, and improving data quality. You'll work closely with analysts and data scientists to enable advanced analytics and machine learning, contributing to a modern, high-impact data architecture.
The role involves working with a multidisciplinary team to design, implement, and run experiments that explore the societal impacts of advanced AI. Projects may include human-AI interaction studies, data scraping, and model evaluations to identify and mitigate risks.
This role involves leading full-stack software development within an agile team, focusing on building secure, scalable technology products for cloud migration and business workflow transformation. The engineer will guide technical design, develop high-quality code across ReactJS, Java, and Python, and integrate AI/ML capabilities into enterprise systems. Emphasis is placed on technical leadership, code quality, and advancing AI-assisted development practices.
This role involves building and maintaining enterprise-grade data pipelines using Azure tools, developing automated ETL/ELT processes, and ensuring data quality and security. You'll work closely with data architects, analysts, and non-technical stakeholders to create well-modelled datasets and support AI and machine learning initiatives.
As a Data Engineer at Clariti AI, you will play a key role in improving the production quality of the company's price optimization software. Responsibilities include building and optimizing ETL/ELT pipelines, scaling infrastructure, and collaborating with clients on pricing decisions. The role offers significant growth opportunities and involvement in various aspects of the business.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, with a focus on data quality, reliability, and performance.
