... building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, ...
... organisations. We work in a highly collaborative environment, and you will partner with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build AI Apps. We're looking for technically strong, energetic, highly collaborative, and passionate ...
... looking for a Senior GenAI / AI Engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning and Deep Learning. The role involves designing, developing, integrating, deploying and scaling production-ready AI/ML solutions, including RAG applications, ...
... organization of datasets for AI/ML models. The ideal candidate will possess expertise in data annotation tools, tagging methodologies, and a solid understanding of machine learning workflows. You will play a crucial role in ensuring data quality, consistency, and accuracy for training and evaluating models. Data Annotation and ...
... technologies powered by a proprietary Biometric Engine. We are seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights ...
... comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients ...
... warehousing concepts and ETL workflows. Familiarity with BI tools (Power BI, Tableau) for reporting and visualization. Exposure to cloud platforms (Azure, AWS, or GCP) and version control (Git). Strong problem solving, communication, and collaboration skills. Exposure to machine learning workflows within Databricks is a plus.
... on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance. Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance. Maintain consistent code check-ins every sprint to ensure continuous integration and development. Executes ...
... managing the Dynamics 365 applications that power Microsoft's sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges. Collaborate across a diverse team ...
... development programs and online learning resources with locally designed initiatives to ensure comprehensive talent development. - Promoting Technology in Learning: - Drive the adoption of innovative learning technologies, including AI-based solutions, online platforms, and virtual training methods, to enhance the accessibility ...
... optimize imaging workflows. With the Metrios ™ AX, we introduced the world's first commercially available Scanning Transmission Electron Microscope (S/TEM) using machine learning for automated, high-quality data collection. Exclusively designed for the semiconductor industry, the Metrios series removes automation barriers, enabling ...
... is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives ...
... Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee ...
... SageMaker, Lambda, ECS/EKS, S3, OpenSearch, API Gateway.- Practices: MLOps/LLMOps, Deployment https://jobeax.com/link/4IuXMwPU7yaY3gXr Qualifications :- AWS Solutions Architect or AWS Machine Learning Certification.- Experience leading AI engineering teams and enterprise AI transformation initiatives. (ref:hirist.tech)
About the Company Quantiphi is an AI-first digital engineering company that leverages artificial intelligence, machine learning, and cloud technologies to solve complex business problems and drive innovation across diverse industries. They specialize in building data platforms and developing custom AI solutions, primarily ...
... The ideal candidate is highly experienced with Power BI and Looker, has strong Python and SQL skills, and brings strong analytical thinking with exposure to machine learning. This role is expected to work closely with project stakeholders to translate business requirements into actionable dashboards, reports, and analytical ...
... strategic bridge between complex business challenges and cutting-edge AI solutions. You will lead the design and implementation of scalable, high-performance machine learning and Generative AI architectures, ensuring they align with enterprise-grade requirements. Working closely with cross-functional product teams, data ...
... modern real-time data solutions using Scala , Apache Spark , and Azure Databricks . - Partner with data scientists and business stakeholders to operationalize machine learning models. - Champion data governance, metadata management, and operational excellence across data platforms. - Ensure data quality and integrity by developing ...
... and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Experience in Core Java (Lambdas, Generics, Collections, ...