2 Sequence Models Jobs

Job Description: Machine Learning and Deep Learning have numerous potential applications in the automotive sector, ranging from advanced driving assistance systems (ADAS) to autonomous driving, driver behavior analysis, vehicle health monitoring, and various processes throughout the lifecycle of an automotive vehicle. Intangles, a pioneering company in the automotive industry, is seeking AI Scientists to join their team and contribute to the development of innovative AI solutions utilizing diverse data types including images, video sequences, text, speech, service logs, and sensor data from modern drive trains and electric vehicles. As an AI Scientist at Intangles, you will be responsible for understanding business challenges and exploring different modeling architectures to devise optimal AI solutions. Your role will involve developing multimodal solutions that can be integrated into the cloud platform and ensuring compatibility with edge compute devices. This position offers a unique opportunity to work in a collaborative environment dedicated to pushing the boundaries of AI technology within the automotive ecosystem. Key Responsibilities: - Formulating business objectives into Data Science problems - Expertise in Multivariate Time Series Forecasting and Causal Forecasting - Building Computer Vision applications, particularly adept with Vision Transformer - Creating and maintaining robust data processing and modeling pipelines - Communicating data insights effectively to both technical and non-technical audiences - Analyzing experimental results, refining models, and driving significant business impact - Proficiency in classical statistical forecasting algorithms and machine learning techniques - Hands-on experience in Time Series Predictive Modelling using regression algorithms and sequence models in Deep Learning - Understanding the fusion of image, text, and time series data for predictive insights - Proficiency in Deep Learning frameworks like PyTorch, Tensorflow - Mentoring junior Data Scientists and guiding solution development - Building end-to-end ML models and pipelines, optimizing for high performance and scalability - Working in an agile development environment and using tools to monitor ML model performance and data accuracy Educational Requirements: - Bachelor's degree in Computer Science, Data Science, Mathematics, or related field - Preferably a Master's or PhD degree in Computer Science, Software Engineering, Mathematics, or related technical discipline Good to Have: - Experience with cloud platforms such as Azure, AWS, GCP - Familiarity with NoSQL databases like MongoDB, Cassandra - Knowledge of containerization using Docker Location: Pune If you are passionate about AI, possess a strong foundation in time series analysis and computer vision, and aspire to contribute to shaping the future of the automotive industry, we encourage you to apply for this exciting opportunity at Intangles.,

Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and independent trading teams. With a 25+ year track record of innovation, Tower has a reputation for discovering unique market opportunities. At Tower, you will find some of the world's best systematic trading and engineering talent. Portfolio managers are empowered to build their teams and strategies independently, benefiting from the economies of scale of a large, global organization. Engineers at Tower thrive while developing electronic trading infrastructure at a world-class level. They tackle challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning. Tower's continuous investment in top engineering talent and technology ensures its platform remains unmatched in functionality, scalability, and performance. Every employee at Tower plays a vital role in the company's success. Business Support teams are essential in building and maintaining the platform that powers all operations, combining market access, data, compute, research infrastructure, risk management, compliance, and business services. These teams enable trading and engineering teams to perform at their best. In this role, your responsibilities will include developing data pipelines for collecting, processing, and analyzing diverse datasets, designing and implementing deep learning architectures for large volumes of data, conducting experiments to evaluate model performance, contributing to optimizing existing machine learning models, and building pipelines for monitoring, managing, and improving production ML/DL models. The ideal candidate will have a bachelor's, master's, or PhD degree from a top university, with 2-6 years of experience. Prior experience in training, building, and deploying large-scale deep learning models is mandatory, as well as experience in designing and implementing sequence and time series models. Proficiency in Git, CI/CD pipelines, MLOps for automating model deployments, Linux, SQL, Git, BASH scripting, Python, and hands-on experience with Pytorch/Tensorflow are required. Tower's headquarters are located in the historic Equitable Building in the heart of NYC's Financial District, with a global impact and over a dozen offices worldwide. The company fosters a culture that values both challenge and enjoyment, where smart, driven people thrive without egos. Benefits include generous paid time off policies, savings plans, hybrid working opportunities, free meals and snacks, in-office wellness experiences, volunteer opportunities, social events, continuous learning opportunities, and more. Join Tower Research Capital to be part of a collaborative and welcoming culture, working with a diverse team in an environment that values performance and enjoyment over unnecessary hierarchy and ego. Tower Research Capital is an equal opportunity employer.,