5 Prompting Jobs

You will be joining Ziance Technologies as an experienced Data Engineer (Gen AI) where your primary role will involve leveraging your expertise in Python and the Azure Tech Stack. Your responsibilities will include designing and implementing advanced data solutions, with a special focus on Generative AI concepts. With 5 - 8 years of experience under your belt, you must possess a strong proficiency in Python programming language. Additionally, you should have hands-on experience with REST APIs, Fast APIs, Graph APIs, and SQL Alchemy. Your expertise in Azure Services such as DataLake, Azure SQL, Function App, and Azure Cognitive Search will be crucial for this role. A good understanding of concepts like Chunking, Embeddings, vectorization, indexing, Prompting, Hallucinations, and RAG will be beneficial. Experience in DevOps, including creating pull PRs and maintaining code repositories, is a must-have skill. Your strong communication skills and ability to collaborate effectively with team members will be essential for success in this position. If you are looking to work in a dynamic environment where you can apply your skills in Azure, Python, and data stack, this role at Ziance Technologies could be the perfect fit for you.,

Do you aspire to be part of a dynamic team that develops cutting-edge products and machine learning solutions at Microsoft, reaching millions of users every month The Microsoft Turing team is an innovative group specializing in engineering and applied research, dedicated to advancing deep learning models, large language models, and groundbreaking conversational search experiences. At the forefront of conversational search platform and innovation, the team drives core copilot experiences within Microsoft's ecosystem, spanning BizChat, Office, and Windows. As a Principal Applied Scientist within the Turing team, you will lead and execute various data science tasks within tight timelines. Your responsibilities will include hands-on activities such as model training, evaluation set creation, infrastructure development for training and evaluation processes, and more. Collaboration with internal and external data science, product, and engineering teams across different time zones will be essential for successful project delivery. Microsoft's mission revolves around empowering individuals and organizations worldwide to accomplish more. As team members, we embrace a growth mindset, strive for innovation to empower others, and foster collaboration to achieve our collective objectives. Upholding values of respect, integrity, and accountability, we cultivate an inclusive culture where everyone can excel professionally and personally. In your role as a Principal Applied Scientist, you will: - Drive projects from inception to implementation, engaging in data analysis, heuristic formulation, model creation using Large Language Models (LLMs), and establishing engineering pipelines for model execution. - Provide documentation, guidance to junior team members, and collaborate with stakeholders across different time zones to ensure project alignment and timely progress. - Develop evaluation techniques, datasets, criteria, and metrics for model assessments, often involving State-of-the-Art (SOTA) models and metrics/datasets. - Engage in hands-on tasks such as pre-training, fine-tuning, and utilization of language models, encompassing dataset preparation, review, and continual refinement. Proficiency in training frameworks, formats, and stacks like megatron is also required. This role demands active participation in a diverse, globally dispersed team environment that values collaboration and innovation. You will play a pivotal role in shaping the design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products leveraging our deep learning technology. Qualifications: Required Qualifications: - Bachelor's, Master's, or Doctorate degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field with 8+ to 12+ years of relevant experience. - At least 3 years of experience in delivering team-level outcomes. - 2+ years of industrial coding experience in languages like C++, C#, C, Java, or Python. - Previous exposure to data analysis in large-scale systems, pattern identification, or evaluation dataset creation. - Familiarity with machine learning, deep learning frameworks, Large Language Models (LLMs), and prompting techniques. - Strong communication skills to convey technical details effectively across organizational boundaries. Preferred Qualifications: - 5+ years of experience in creating publications such as patents, libraries, or peer-reviewed academic papers. - 2+ years of experience in presenting at conferences or industry events as an invited speaker. #MSAI #Turing #LLMs #Modeltraining #M365CORE #MSAI #Turing,

Annotate and evaluate AI-generated content on theological topics, ensuring it aligns with religious teachings, texts, and doctrinal accuracy Provide expert insights on religious doctrines, history, texts, and theological debates across various religions Design and assess prompts and AI responses for clarity, accuracy, and theological precision Collaborate with AI teams to integrate theological principles into AI systems and improve the quality of AI-generated theological content Provide feedback to ensure AI responses maintain respect for diverse religious beliefs and interpretations Stay updated with the latest research, theological debates, and scholarly developments in religious studies Bachelors or Masters degree in Theology, Religious Studies, or a related field In-depth knowledge of religious texts, doctrines, and theological theories Strong communication skills and the ability to explain complex theological concepts clearly Experience teaching, tutoring, or writing in theological studies is preferred Familiarity with AI and machine learning technologies is a plus

Annotate and evaluate AI-generated Economics content aligned with K10 curriculum standards. Ensure clear and accurate explanations of core concepts like supply and demand, inflation, and government policies. Design prompts and assess AI responses for clarity, engagement, and educational value. Provide feedback to improve the AIs understanding and instruction quality. Collaborate with AI teams to apply best practices from K10 Economics education. Bachelors degree in Economics, Education, or a related field. Strong knowledge of K10 Economics curriculum and key topics. Excellent communication skills, both verbal and written. Previous experience in tutoring or teaching Economics at the K10 level is preferred. Familiarity with online teaching platforms and tools is a plus.

high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Bricks, Azure Data Factory, services related to Azure Analytics, Azure SQL, Azure function app, logic app experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions proficient coding experience using Spark (Scala/Python), T-SQL prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc. a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development. Azure Data Bricks/Data Factory/Data Lake/ Devops/ Spark/Scala/Python Production grade work experience with Python Good understanding of Core Deep Learning theory, Language models, Transformers Solid understanding of LLM fundamentals Prompting, RAG, Function calling, Agentic Workflows