Intangles
Location
Pune | India
Job description
Brief Description of position:
Machine Learning and Deep Learning has many potential applications in the automotive domain such as advanced driving assistance systems (ADAS), autonomous driving, driver behaviour, vehicle health, and during development, manufacturing, and sales & aftersales processes, encompassing the total life cycle of an automotive vehicle. Machine learning is an essential component for use cases, such as predictive maintenance of vehicles, personalized infotainment and location-based services, business process automation, supply chain, and price optimization. At Intangles, we are defining the future of automotive industry and are looking for AI Scientists to work in a team and help us create innovative AI solutions consisting of multimodal data types such as images/video sequences, text/speech, service/maintenance logs, and multivariate time series data from sensors embedded in modern drive trains and electric vehicles. The responsibilities of an AI Scientist include understanding the business problem and experimenting with different modelling architectures to create the best possible solution from model performance as well as computational performance aspect. The multimodal solutions built should be part of our cloud platform as well as be compatible with our edge compute device. To do this job successfully, you need exceptional skills in AI/ML and Programming. Please apply if you have strong hands-on experience in developing and successfully deploying AI/ML models with particular emphasis on advanced Time Series, Text & Computer Vision. The future we envisage involves bindings of multimodal data that will create a unique user experience to various stakeholders in the automotive ecosystem, for example, the vehicle owner, fleet manager, OEM, supply chain & logistics, spares and parts providers, and aftermarket sales and services. We are looking for candidates who are passionate about AI, have a strong foundation in time series analysis and computer vision, and are eager to contribute to the future of the automotive industry. This role offers a unique opportunity to gain hands-on experience in an industry-leading organization that is at the forefront of technological advancements in Digital Twin. As an AI Scientist at Intangles, you will have the opportunity to work in a collaborative team environment where we are dedicated to creating innovative AI solutions. Our focus lies in developing cutting-edge solutions that leverage multimodal data types, including images/video sequences, text/speech, service/maintenance logs, and multivariate time series data from sensors embedded in modern drivetrains and electric vehicles. Responsibilities of an AI Scientist in this role will include: ● Understanding and experimenting with different modelling architectures to develop optimal AI solutions. ● Evaluating model performance and computational efficiency to create the best possible solutions. ● Building multimodal solutions that seamlessly integrate into our cloud platform. ● Ensuring compatibility of the solutions with our edge compute devices. Job Description: ● Understanding business objectives and formulate the problem as a Data Science problem ● Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting ● Expert in building Computer Vision applications and well versed with Vision Transformer ● Develop and maintain robust data processing pipelines and reproducible modelling pipelines ● Explore data and communicate insights clearly to non-technical as well as technical audience ● Analyze experimental results, iterate and refine models to create significant business impact ● In-depth understanding of classical statistical forecasting algorithms such as Time Series (Arima, Prophet), ML (GLM, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods. ● Proven experience in handling Time Series Predictive Modelling using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc. ● Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, recent time-series Transformers, etc. especially in the context of Time Series Forecasting. ● Understanding of binding the image, text, and time series data to create predictive insights ● Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc. ● Ability to guide and mentor junior Data Scientists on solution development ● Hands-on experience with building end-to-end ML models and pipelines. ● Experience with Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents. ● Experience with optimisations, debugging, fine-tuning existing applications in distributed computing environments for high performance and scalability with Big Data. ● Experience with an agile development environment. ● Exposure in tools/framework to monitor and analyze ML model performance and data accuracy. Location: Pune Educational Requirements (Minimum Qualification): ● Bachelor's degree in computer science, Data Science, Mathematics, or related technical field. ● Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field. Good to Have: ● Familiarity in working with Azure, AWS, GCP etc. ● Experience with NoSQL databases, such as MongoDB, Cassandra ● Experience with containerizing applications using DockerJob tags
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