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Knowledge of a variety of deep learning techniques (regression, classification, CNN, RNN, LSTM, etc) - Must. Knowledge of a variety of machine learning techniques (exploratory data analysis, supervised/unsupervised machine learning, regression, random forest, svm, boosting, cross validation, etc) - Must.
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1+ years working with Tensorflow, Pytorch, or related deep learning framework. Experience using statistical computer languages (Python, Golang, SQL, etc.) Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark and etc.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong knowledge of SQL, Python, data-structured languages, and big data. Hands-on experience building statistical, machine learning, and deep learning models.
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O Oversee the development of AI models leveraging machine learning, deep learning, and NLP techniques. Is proficient in programming languages like Python, R, and Java. o Partner with data engineering teams to ensure high-quality, well-governed data for AI projects.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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Kenntnisse in DS&AI-Techniken wie überwachtem und unüberwachtem maschinellem Lernen (ML), Deep Learning oder LLMs zur Lösung von Klassifizierungs-, Regressions- oder anderen Vorhersageanalysen, sowie NLP, Generative AI mithilfe geeigneter Tools (Python, R, SQL usw.
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Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals.
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Experience with deep-learning algorithms; fluent in Python, R or similar. Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Advanced understanding of modern Deep Learning workload characteristics. Our team is currently developing cutting-edge technologies, including a cross-platform Inference Engine leveraging Metal and CUDA, Swift packages for end-to-end inference pipelines, a Python toolkit for model compression and inference efficiency, and fostering a vibrant developer community.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Machine Learning | Deep Learning | Market Research | Technology | Advertising | Adtech | Artificial Intelligence | Deployment | Production | Startup | AI | Artificial Intelligence | Recommendation Engine | Recommender System | AWS | Azure | GCP | Google Cloud | Python | Personalization Engine.
$200,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Also requires two (2) years of experience in each of the following: modeling tools and frameworks including Python, R, TensorFlow, Keras, PyTorch, Databricks and PySpark; Azure, GCP or AWS cloud infrastructure; data modeling/analytics with SQL, Snowflake and Tableau; data.
$120,750 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Deep Integrations with Spark (e.g. Databricks, EMR, Dataproc) and Data Warehouses (e.g. Snowflake, BigQuery and Redshift) At Tecton, we solve the complex data problem in production machine learning.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago
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