3 Probability Theory Jobs

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

Are you prepared for an exciting opportunity to be part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation risk analytics platform. The main goal of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will play a significant role in supporting QRMC group's activities globally, collaborating closely with Front Office and Market Risk functions to create tools and utilities for model development and risk management. Your responsibilities will include working on implementing the next generation risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the adequacy of quantitative models and associated risks, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields and have at least 3 years of relevant experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. Additionally, you should possess a basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG, and be interested in applying agile development practices. Strong quantitative and problem-solving skills, research skills, knowledge of basic mathematics like statistics and probability theory, good interpersonal and communication skills, and the ability to work in a team are also required. Attention to detail and adaptability are key attributes for success in this role. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, experience with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, familiarity with advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

Qualcomm India Private Limited is seeking an experienced individual to join Qualcomms Engineering IT EDAAP team as an IT Programmer Analyst. The ideal candidate should have 7-10 years of experience in developing dashboards using reporting tools such as Tableau (Tableau API), Power BI, and OBIEE. As an independent contributor, you will be responsible for developing and sustaining enterprise level software applications. Your main tasks will include developing visualizations and dashboards with Tableau, strong knowledge of SQL, and test, debug, and performance tuning of dashboards and reports. You should have a fundamental understanding of object-oriented design, data structures, algorithms, and problem-solving. Additionally, you will be required to work in an agile development environment, translate ad hoc report requests into common dashboards, and have knowledge of different types of enterprise systems and their interactions within an enterprise. Experience working with Oracle, MySQL, and Postgres is essential. The willingness to multitask and work in a fast-paced environment, as well as taking ownership and driving tasks to completion, are key attributes for this role. Desirable skills include Python programming experience, developing dashboards with Power BI, exposure to Qlikview, OBIEE, and ThoughtSpot, experience in the semiconductor industry, and working with NoSQL databases such as MongoDB, as well as relational databases like MySQL and Oracle. To be considered for this position, you must have a Bachelor's degree in a technical discipline or equivalent experience. Qualifications required include 5 or more years of experience in applying AI and machine learning techniques to technology solutions, with a strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, PyTorch, Python, NLP, and Transformer architecture is essential, as well as experience in deploying LLMs and embedding models in production use cases. Preferred qualifications include a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, experience in implementing end-to-end ML/NLP systems, working with transformer-based models, and experience in a distributed team and cloud environments. Minimum qualifications for this role include 4+ years of work experience in programming, scripting, and/or automation, or IT-relevant work experience with a Bachelor's degree, or 6+ years of work experience without a Bachelor's degree. Additionally, 2+ years of experience with Database Design structures, such as MongoDB and MySQL, is required. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for assistance. Employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies, and individuals seeking a job at Qualcomm should apply directly through the Qualcomm Careers Site. For more information about this role, please contact Qualcomm Careers.,