... Experience :- At least 1- 2 live implementations of Generative AI driven solutions.- Extensive experience in implementing chatbots, knowledge search, and NLP.- Good expertise in implementing Machine learning and deep learning solutions for at least 2 https://jobeax.com/link/elpmNuUlUrtRmNOJ :- 4th Floor. (ref:hirist.tech)
... ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process from early stages through deployment. - Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real-world enterprise datasets. Bachelor's or Master's in Computer ...
Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...
... https://jobeax.com/link/lcZAAHEjgNDCLu2U : - 7-10 years of relevant experience.- Strong hands-on expertise in Python, Generative AI, LLM and RAG.- Strong understanding of Machine Learning and GenAI algorithms.- Experience with AI cloud platforms - AWS / Azure / GCP.- PySpark and Scala exposure is a plus.- Familiarity with Deep Learning, Big Data ...
... 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 ...
... 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 ...
... 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 ...
... 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.
... 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)
... 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 ...
... 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 ...
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 ...
... solutions using Generative AI and Machine Learning. Should have extensive experience in algorithms and statistics and expertise in natural language processing, machine learning, deep learning, and data mining. Demonstrate deep knowledge and ability to operationalize and integrating leading machine learning and data technologies ...