... experimental design. Demonstrated experience with various sampling techniques and their associated statistical challenges (e.g., Proven ability to develop and deploy machine learning models in a real-world setting. Experience with A/B testing design and analysis. Machine learning model development Experience using cloud computing ...
Tiger Analytics is a fast-growing AI and advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working to build one of the ...
... Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026– the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. ...
... customize foundational models using domain-specific and internal datasets. - Applied Generative AI Solutions: Leverage generative AI to enhance traditional machine learning use cases such as risk modeling, fraud detection, and customer analytics. - Prompt Engineering & Evaluation: Develop effective prompting strategies ...
... inference, evaluation, optimization, and monitoring pipelines.- Integrate AI models with enterprise applications through APIs and microservices.- Develop NLP, machine learning, and deep learning solutions based on business requirements.- Work with structured and unstructured data for AI applications.- Build prompt engineering, ...
... Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications Build and fine-tune models — from gradient-boosted trees and classical ...
... best practices. Troubleshoot, debug, and enhance software solutions to maintain optimal functionality and reliability. Work with AI technologies to integrate machine learning models and intelligent systems into applications, driving innovation in solution development. Optionally contribute to front-end development when required. ...
... and SVG files.- Contribute development of multi-modal models that integrate vision with language-based features (NLP / LLMs).- Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.- Collaborate with cross-functional teams ...
... Data Specialist' looking for an exciting opportunity to showcase your skills at Dinex? We are seeking a talented individual who is proficient in Java, SQL, machine learning, Hadoop, Python, data analysis, data entry, data cleaning, and data engineering to join our team. Key Responsibilities: 1. Utilize your expertise in ...
... talented individuals in utilizing cutting-edge technologies to drive innovation and automation in our operations. Your expertise in Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Automation, Test Automation, and Cloud will ...
... or store operations systems.- Experience scaling a product from pilot deployment to large multi-site enterprise rollout.- Familiarity with privacy-preserving machine learning approaches such as federated learning, on-device training, or data minimization by design.- Startup experience between seed and Series B stage, including ...
... improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research. Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as ...
... BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus ...
... understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical ...
I. Detailed Role Description:We are looking for a highly skilled and visionary Data Science Team Manager (AI/ML) to lead a team of data scientists and machine learning engineers. This role is responsible for driving AI/ML initiatives that solve complex business problems, building scalable models and ensuring successful ...
... development, testing, and maintenance of enterprise-grade software systems deployed on public cloud platforms, including AWS and Azure. Familiarity with AI and machine learning technologies, advanced UI development using ReactJS, and hands-on banking domain experience—especially KYC/AML solutions—is highly sought. This role ...
Role Overview :As a Python Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. ...
Role Overview :As a Python Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. ...
... Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, and compliance frameworks using Microsoft Purview, ...