Duties: Collaborate with researchers and data scientists to design sophisticated machine learning models; Implement and fine-tune neural network architectures, including transformer-based models; Optimize model performance, scalability, and efficiency; Conduct experiments to evaluate model performance, robustness, and generalization; Explore novel techniques and approaches to enhance model capabilities; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Work with large-scale datasets, preprocess them, and create appropriate data representations; Select relevant features and ensure data quality for training and evaluation
Requirements: Total 8+ years of relevant experience; Depth in Data Science, Generative AI and Engineering; Background in machine learning, deep learning, and natural language processing; Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product

Duties: The Outlook Data and AI Platform Team is seeking a highly experienced engineer who is deeply passionate about crafting a data-driven evaluation framework. This framework will empower hyper agility in developing Generative AI scenarios throughout the Outlook ecosystem. This role represents a greenfield opportunity, where we collaborate with other Microsoft teams to explore and develop tools and techniques for the evaluation and analysis of Copilot features in Outlook. Many of these features yield probabilistic outcomes, necessitating a sophisticated approach to evaluation and analysis. This role is for someone who enjoys creating solutions that are not just new for the team, the company but for the entire industry. In this pivotal position, you will work closely with feature developers, product managers, data scientists, as well as Microsoft's Office of Applied Research and Substrate AI
Requirements: A minimum of 5 years of software development experience in building services and tools; At least 1 year of experience working with data, including defining and analyzing metrics and creating optimized data pipelines capable of handling substantial data volumes; Proficiency in at least one high-level programming language, such as C# or Python; Exceptional problem-solving abilities, critical thinking skills, and communication prowess

Duties: Drive business transformation using Data, Analytics and AI; Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery; Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement; Engage in open-ended conversations, navigate through ambiguous situations and develop clarity; Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise; Communicate, engage, and present roadmaps, use cases, solutions, & impact to executive/senior management; Deliver products and solutions in a timely, proactive, and entrepreneurial manner; Institutionalize best practices, contribute to research and experimentation efforts
Requirements: Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred; 12-18+ years of relevant experience in data and analytics product & solution delivery; Traditional as well as modern statistical and machine learning techniques; Azure ML, OpenAI, Python, PyTorch, SQL, and TensorFlow

Duties: Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery; Contribute to hands-on development of data & analytics solutions; Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement; Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise; Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management; Deliver products and solutions in a timely, proactive, and entrepreneurial manner; Institutionalize best practices, contribute to research and experimentation efforts
Requirements: Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred; 10-14+ years of relevant experience in data and analytics product & solution delivery; Traditional as well as modern statistical and machine learning techniques; Azure ML, OpenAI, Python, PyTorch, SQL, and TensorFlow; Experience working with large and complex internal, external, structured and unstructured datasets

Duties: Working with an agile team to develop, test, and maintain web-based business applications built on Microsoft technologies; Development of user stories; Unit test applications in accordance with established standards; Participating in peer-reviews of solution designs and related code; Package and support deployment of releases; Ensuring cross-platform optimization for mobile phones; Ensuring responsiveness of applications
Requirements: Proficiency in Microsoft .NET Development using .Net Core, Angular & Entity Framework; Proficiency in web development using HTML5, CSS, JQUERY; Solid understanding of object-oriented programming concepts; Solid understanding of relational database design and querying concepts; Excellent verbal communication skills

Duties: Work with huge volumes of data to solve real-world ML problems that are productionized into our platform to be consumed by downstream applications OR become product feature OR stand-alone products; Work with global teams with an opportunity to create phenomenal impact; Combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the enterprise; Demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions
Requirements: Masters/Bachelors degree in Computer Science, Mathematics, Statistics, Physics or related field with 6+ Years of industry experience. Focus on ML preferred. Ph.D. desirable

Duties: Work on ML projects on speech and audio applications, leveraging techniques and approaches, using Generative AI and Large Language Models (LLM); Engage in memory and performance optimization to ensure the deployment of ML models on Google hardware; Collaborate with Product, Research, and Software teams to comprehend ML requirements and deliver solutions that meet key user experiences; Work alongside tools and architecture teams to streamline the deployment, validation, and testing processes for Google hardware; Develop ML models for Google hardware devices
Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, related field, or equivalent practical experience; Experience in C/C++ or Python programming and Machine Learning