a number of micro-service based components Work closely with product management team to continuously optimise existing or develop new models/products/algorithms Participate in code audit, test and release; Build a rapidly deployable system with automated testing, continuous integration, and delivery; Identify problems in back-end infrastructure more »
Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide more »
understanding of material properties in ferromagnetic materials Experience with control loop theory and ability to evaluate system requirements, simulate and work to produce control algorithms Skills/Abilities/Knowledge/Qualities Empathy with the mission, vision, values and ethos of the company Ability to work overseas as required Resilience more »
with agreed standards. Continually look for opportunities to improve the demand forecasting performance, either from improving the quality of input data, the computations and algorithms used within the demand forecasting models or the checks and balances performed to avoid errors or mistakes with the outputs. Collaborate with Structuring on contractual more »
technology within a vibrant startup environment. Role Overview: Automating the extraction of structured data from unstructured sources like PDFs and plain text using proprietary algorithms, enhancing their capability to process these at scale. Developing tools for preprocessing source materials, including scanning, scraping, clipping, and cleaning of PDFs and HTML. Manipulating more »
RoCE, GPUDirect, PXN, rail optimisation and NVLink, and how to use these networking technologies to link up GPU clusters An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI An inventive approach and the willingness to ask hard questions about whether we're taking the right more »
RoCE, GPUDirect, PXN, rail optimisation and NVLink, and how to use these networking technologies to link up GPU clusters An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI An inventive approach and the willingness to ask hard questions about whether we're taking the right more »
Sense controllers and a novel facial performance capture system used to produce assets for AAA games. Role Overview You are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions and bring them to production. Some of these systems are expected to run on millions of more »
this role on developing information systems within a Microsoft SQL Server development environment and/or an Apache Spark big data processing environment creating algorithms and pipelines to ingest and transform data into information systems and solutions capable of answering clinical and operational use case requirements particularly with respect to more »
closely with the Sales Engineering team to standardise Solution design documentation during the Sales process and scale POV processes.Work with QUINYX Integrations Team and Algorithms team in identifying opportunities to scale and reuse integrations and AI solutions.Active member of the Sales Process for Strategic/Enterprise deals. and responsible for more »
things will change direction, encouraging of throwing away work, architects with simplicity & flexibility in mind Strong fundamental computer science knowledge around data structures and algorithms A holistic view of the system & product outside of the immediate task or program The mindset to not over-engineer - aware & mindful of the danger more »
CEO, COO and Head of Engineering. Responsibilities Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Ensuring that algorithms generate accurate user recommendations Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered … data sets, as well as optimising existing machine learning libraries and frameworks. Developing ML algorithms to analyse huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Skills/Experience You believe in Bageera s vision (and you re more »
efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. … Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML, Databricks more »
heterogeneous networks in 5G and beyond. Involved in research, administration, and analysis of major research across our portfolio of projects. Initial design of intelligent algorithms for resource management in 3D RAN. Testing and evaluation plan for disaggregated Core network functions and control-plane algorithms. Performance evaluation results of the computational more »
in leading AI, ML or robotics conferences, Strong proficiency in programming languages such as Python or C++, Extensive knowledge of machine learning techniques and algorithms, including but not limited to supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing, Working knowledge of PyTorch and/or TensorFlow … fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning, As a member of the ML team, your role involves crafting and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our robots, With access to our in-house robotic platforms, you ll … with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems, Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges, Implement scalable and efficient software solutions to integrate machine learning models into production systems, Optimize and fine-tune more »
GCP and Python would be a strong advantage. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Key Skills 3+ years of Python experience Highly statistical … least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) This is a more »
impact for our business Partner with stakeholders to propose innovative data products that leverage Trainline s rich datasets and state of the art ML algorithms Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and … good communication skills Nice to have Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques Experience with Large Language Models (fine tuning, RAG, agents) Our technology stack Python PySpark for processing big data AWS: EMR, ECS, Athena, etc. more »
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our more »
collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power insightful models. - Develop Scalable Algorithms: Create algorithms that are accurate and adaptable, ensuring reliable predictions across evolving datasets. - Prototype to Production: Collaborate with the engineering team to transition analytical prototypes more »
most, and how much advertisers are spending in a channel and country. What You Will Work On Execute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency. Develop, refine and bring data models to production. … analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation more »
of AI researchers. RESPONSIBILITIES Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. Promote Good Engineering Practices … Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. Effective Reporting and Presentation: Clearly and more »
software for Research and Trading. You will be given the opportunity to: Participate in the design, implementation, and monitoring of our real-time trading algorithms Help integrate these algorithms into our live trading platform Build low latency tools running on high-performance servers allowing our High Frequency Trading team to more »
Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural … Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/leading teams in DS AI/Python/Data scientist/Machine more »
and operational life cycle to reporting and forecasting. The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights … portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making Develop and implement quantitative models and algorithms to support trading and investment strategies Communicate results and findings to stakeholders in a clear and concise manner Stay current with industry developments and new more »
to build scalable and robust solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. Please note we are unable to sponsor visas for this position. Responsibilities: Lead the development … and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency more »
