2 Training Models Jobs

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,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,