5 Transformer Architecture Jobs

The role of Manager - Data Scientist requires a minimum of 6+ years of experience in NLP/GenAI/Recommender Systems, with a significant focus on developing enterprise-grade solutions. You should have expertise in handling large datasets and performing data preprocessing on cloud platforms. Your responsibilities will include developing generative AI applications, such as prompt engineering and Retrieval-Augmented Generation (RAG) applications. You should possess a strong understanding of LLM concepts and hands-on experience in utilizing LLMs for POCs and problem-solving, integrating them into the solution workflow. Additionally, you should have practical experience in building various types of recommender systems, such as content-based, collaborative filtering, or hybrid approaches. Proficiency in Python programming is essential for this role, and experience with PySpark is considered a plus. Knowledge of Azure Cloud is mandatory. Effective communication skills are crucial, as you will be required to clearly articulate data science outcomes. Experience with version control systems like Git and familiarity with CI/CD practices, as well as developing/consuming RESTful API, would be advantageous. Preferred qualifications for this role include familiarity with popular recommender system-related algorithms like ALS, KNN, and LightFM. Knowledge of transformer architecture and different types of LLMs (encoder-only, encoder-decoder, and decoder-only) is desirable. Having some hands-on experience in solving NLP problems with or without GenAI would be a beneficial addition to your profile.,

You should hold a Bachelors degree in a technical or quantitative field from an accredited college or university. A Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. Additionally, you should have at least 7 years of relevant experience in Generative AI and NLP. Your background should include a strong mathematical foundation, enabling you to comprehend algorithms and methodologies from both a mathematical and intuitive perspective. Key Skills and Experience required for this role include excellent communication skills, stakeholder management abilities, and the capacity to translate problem statements into analytical approaches. Proficiency in Python programming is essential. You should possess robust experience in Machine Learning and forecasting, with a track record of working on actual projects for application purposes. Specialization in GenAI and NLP is crucial, including extensive knowledge in retrieval augmented generation and a proficient understanding of transformer architecture and traditional NLP techniques. Furthermore, you should be proficient in creating APIs for backend systems. A keen interest in research, staying updated with the latest advancements in GenAI, and a willingness to develop and experiment with your own approaches are highly valued for this role.,

You should have a solid understanding and working experience with the Azure cloud platform fundamentals, including Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, and Functions. Experience in Python environment setup, dependency management (e.g., pip, conda), and API integrations (API Keys, OAuth) is required. Exposure to NLP, machine learning, or data science projects is preferred. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications is a plus. Understanding of transformer architecture and how it powers modern NLP, as well as exposure to AI Code Assist tools, is beneficial for this role. Virtusa values teamwork, quality of life, and professional and personal development. Join a global team of 27,000 professionals who care about your growth, offering exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with the company. At Virtusa, collaboration and a team environment are highly valued, providing a dynamic place for great minds to nurture new ideas and foster excellence.,

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.,

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Role & responsibilities Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives Preferred candidate profile Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.