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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) Proficient in machine learning, deep learning, computer vision, and image processing techniques.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
InternExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest deep learning and machine learning breakthroughs with NVIDIA’s enterprise customers.
$144,000 - $270,250 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Solid understanding of statistical and machine learning algorithms. Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
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Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain. Ability to engage with executive/VP level stakeholders from clients team to translate business problems to high level analytics solution approach.
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Tiger Analytics is an advanced analytics consulting firm. Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risks.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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Graduate in Business Analytics or MBA or equivalent work experience. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Strong project management and team management skills and ability to work with global teams.
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Expertise in developing, testing, and evaluating deep learning models. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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