דרושים » תוכנה » AI Engineer

We are seeking an exceptional Data Scientist to lead applied research in machine learning and drive the AI transformation across Plus500. This pivotal role will shape the next generation of customer-facing products and internal tools, helping to redefine the trading experience through advanced AI.



Key Responsibilities

Design and build end-to-end AI workflows including synthetic dataset generation, data preprocessing, model development, deployment, and agent orchestration.
Design and implement LLM (Large Language Model) evaluation frameworks to assess new AI models, techniques, and parameters.
Process and analyze large-scale structured and unstructured data from databases, APIs, and develop machine learning models for time series forecasting, regression, and classification tasks.
Design and implement enterprise-grade RAG systems using LLMs, vector databases, GraphRA, G, and intelligent agents.
Optimize AI-user interactions through advanced prompt engineering and retrieval strategies.
Translate cutting-edge AI research into practical, scalable tools for internal and customer-facing applications and collaborate with global and cross-functional R&D teams to drive innovation across product lines.
Apply MLOps and LLMOps best practices to ensure robust model training, deployment, and monitoring pipelines.

Our team at the Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers.
We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Research state-of-the-art, distributed AI training and inference algorithms (e.g. FSDP, DDP) to develop accessible model sharding capabilities
Profile different distributed AI training strategies, compare parallelization methods, and identify the main bottlenecks to be optimized on the computation and network communication levels.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

We are looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
About us
We are an NVIDIA partner, providing professional services of software development, Artificial Intelligence algorithms development, and performance optimization, maximizing the heterogeneous (CPU&GPU) hardware utilization.
Your Impact:
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client
Requirements
Drive technical excellence through your profound knowledge of python across diverse projects.
Implement systems with frontend and AI backend, including RAG systems
Harness your CUDA expertise to maximize the performance and efficiency of our computing platforms.
Oversee projects from ideation to completion, ensuring quality, timeliness, and budget adherence.
Mentor team members and foster a growth-oriented learning environment.
Apply your critical and creative problem-solving skills to troubleshoot and resolve intricate technical issues.
Working with Artificial Intelligence algorithms using Neural Networks.

About the job
As an organization, our company maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
our company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Author research papers to share and generate impact of research results across the organization and in the research community.
Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at our company events or research conferences, or organizing research conferences and visioning activities.
Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of our company research.
Identify undefined problems in existing technology and engage stakeholders and leaders to address them.