... would be an advantage. Strong knowledge of actuarial pricing, reserving, and risk transfer techniques. Experience with statistical modeling, including GLM and machine learning methods such as decision trees, random forest, and XGBoost. Good commercial judgment, with the ability to balance technical depth and business needs. ...
... domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, ...
... continue expanding, we're looking for a skilled Lead Data Scientist to guide innovation, lead teams, and solve complex problems using advanced analytics and machine learning. As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy ...
... customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of ...
... customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 8 + years of ...
... already gained hands-on experience with AI-powered applications, LLMs, AI agents, or retrieval-based systems in a professional setting. However, this is not a machine learning research or AI specialist role. Your primary focus will be designing, building, and operating reliable, scalable, and observable services that enable ...
... measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Requires in-depth technical knowledge and experience in their assigned area of expertise They lead and supervise a team, guiding and supporting ...
... connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement ...
... Stay current with the rapidly evolving AI ecosystem and contribute best practices. Core Qualifications • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of software engineering experience with Python. • Hands-on experience with Large Language Models and Generative AI. ...
... on real-time insights rather than relying on last years inputs to forecast and plan this years https://jobeax.com/link/qUIfyxYjt7dZEGae by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across ...
... https://jobeax.com/link/tzGekrj9a8ToGEDv) Familiarity with other identity governance vendors such as Microsoft, Sun, Oracle, IBM, or Novell a plus - Familiarity with AI and machine learning concepts a plus - Experience with project management duties (project planning, resource management, scope, schedule and status, documentation) - Experience ...
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development.
... (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. 5.5 to 14 yrs of experience with Gen AI and Machine Learning algorithms. - Experience with Natural Language Processing (NLP). - Familiarity ...
... assurance team Basic Qualifications - C1+ or equivalent fluency in English language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations - Effective communication skills in Business English Experience with quality management tools and systems - Understanding ...
... Location: Hybrid Compensation: $200,000–$350,000/year Openings: 1 About the Opportunity We are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives. The role combines hands-on engineering across LLMs, RAG, ...
... Digital Twins)- 7b. Drive innovation pipeline and experimentation- 7c. Promote a data-driven culture across the enterpriseSkills Essential : Technical : - 1. Machine Learning, Deep Learning, Statistical Modelling, Gen AI & Agentic AI- 2. Python / R / SQL, Data Engineering fundamentals- 3. MLOps, model deployment, scalable ...
... Location: Hybrid Compensation: $200,000–$350,000/year Openings: 1 About the Opportunity We are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives. The role combines hands-on engineering across LLMs, RAG, ...
... engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Manager Software Engineering who leads a high-performing engineering organization building scalable, data-intensive platforms ...
... and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases. (Note: We need software builders, not Machine Learning researchers). Practical knowledge of Infrastructure Engineering with Linux, Windows Server, compute, virtualization/cloud infrastructure, authentication, ...
... comprehensive Zero Trust frameworks to secure distributed enterprise environments against sophisticated threat vectors.- Integrate Artificial Intelligence and Machine Learning models into security operations to automate threat hunting, anomaly detection, and incident response.- Lead the design of identity-centric security ...