1 to 25 of 804 Permanent Algorithms Jobs

products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience ...

degree (BSc, MSc, or PhD) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related STEM field. Strong foundation in machine learning concepts, algorithms, and model development. Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version ...

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master’s or Ph.D. in Data Science, Computer ...

Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master’s or Ph.D. in Data Science, Computer ...

analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings & recommendations with clear visual and written formats to stakeholders Requirements Pursuing (or recently completed) B.Tech/ ...

scalable backend services using cloud-native, microservices architectures to process real-time data from BESS, EV chargers, solar, wind, and IoT sensors Develop optimisation algorithms for peak shaving, demand response, automated load shedding, and (where appropriate) AI-driven forecasting and anomaly detection Connect edge to cloud , designing robust APIs ...

degree in Computer Science or closely related field. 3-5 years of functional programming (preferably Clojure) Strong CS skills such as data structures, algorithms, and problem solving. Build and CI tools such as git, Gradle, Leiningen, Clojure deps, CircleCI or Jenkins. Solid familiarity with Linux based operating systems such ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

join a talented team of like-minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. Design, develop, and maintain scalable back-end services using Node.js and related frameworks. Build and consume APIs, integrate with databases, and manage server-side ...

join a talented team of like-minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. Design, develop, and maintain scalable back-end services using Node.js and related frameworks. Build and consume APIs, integrate with databases, and manage server-side ...

join a talented team of like-minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. Design, develop, and maintain scalable back-end services using Node.js and related frameworks. Build and consume APIs, integrate with databases, and manage server-side ...

develop data-driven solutions. Assist in collecting, processing, and analyzing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions ...

develop data-driven solutions. Assist in collecting, processing, and analyzing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions ...

across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations ...

skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ ...

skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ ...

skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical ...

code, contribute to technical initiatives, and retain deep technical expertise. Architectural & Design Skills: Strong fundamentals in object-oriented design, data structures, and algorithms, with the ability to guide and drive detailed design projects for scalable solutions. Tech Stack Proficiency: Hands-on experience with general-purpose programming languages such as .NET ...

using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. Excellent problem-solving, debugging, performance analysis, test design, and documentation skills. Strong understanding of GPU architectures ...

training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM. Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT), cloud deployment ...