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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Proven track record in industry solving real-world problems as a Machine Learning Engineer, Data Scientist, Data Engineer, or similar role. Experience and knowledge in deploying machine learning at scale on big data platforms (e.g., PySpark with Apache ecosystem, AWS EMR.
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2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief/Principal Engineer position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
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The Adobe Document Cloud Data Science team is looking for Machine Learning Engineer who can apply computer vision techniques and help us build solutions that will drive the success of our Document Cloud business.
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Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Prior experience or aptitude to learn Machine Learning, Deep Learning, and Generative AI techniques. Continuous Learning & Innovation : Stay up-to-date with the latest trends and technologies in supply chain management, optimization techniques and data science.
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Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras. You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI, with specific emphasis in the analog electronic circuit analysis area.
$279,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities:- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models;- Responsible for improving use-ability and flexibility of the machine learning infrastructure;- Responsible for improving the workflow of model training and serving, data pipelines and resource management for multi-tenancy machine learning systems;- Responsible for designing and developing components of ML infrastructure.
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Drive innovation in infrastructure practices to support pioneering machine learning research and development. Collaborate closely with ML Researchers and Machine Learning Engineers to accelerate the training of the cutting-edge ML models.
$325,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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