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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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6+ years of experience working in data science, data engineering, software engineering, or MLOps6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About You – experience, education, skills, and accomplishmentsBachelor's degree in computer science or equivalentAt least 3 years of technical experience with core emphasis in Python (including NumPy, Pandas, TensorFlow)At least 2 years of experience with containerization (Docker, Kubernetes), DevOps tooling such as Jenkins, Ansible, Salt, or Chef. At least 3 years of experience working as a software engineer developing commercial software preferred.
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Know at least one machine-learning language very well (NumPy/Tensorflow/Keras/etc). Who We AreOur team is led by experienced founders who have successfully built and sold technology to blue chip clients like Procter & Gamble, Subway, Bojangles, Colgate, KellerWilliams, CBRE, Colliers and Ford. We're backed by Y Combinator.
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Hands-on experience with ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy). As an Artificial Intelligence (AI) Data Scientist you will play a critical part in BBH Digital transformation by conducting research, designing, prototyping, & validating machine learning models to assure achievement of desired business outcomes.
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Analyze data in relational databases using SQL.Use Tensorflow and PyTorch for training and inference of deep neural networks. We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels, in order to ensure the ultimate goal – results for marketers.
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Proficiency in Python, R, SQL and machine learning frameworks such as TensorFlow, PyTorch, or similar. Proficiency in Python, R, SQL and machine learning frameworks such as TensorFlow, PyTorch, or similar.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in Bayesian Markov Chain Monte Carlo modeling and experience with PyTorch, SciKit, PyMC or TensorFlow. Experience with Data Visualization tools and Apache Spark. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of Machine and Deep learning-based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, TensorFlow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc.
$150,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Databricks, Snowflake, AWS, GCP, Azure, dbt, Fivetran, Hudi, Iceberg, spark, Python, PyTorch, TensorFlow, SQL, etc.) Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Kotlin, Scala, Java and familiarity with Python & machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong programming skills in languages such as Kotlin, Scala, Java and familiarity with Python & machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn.
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4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Experience supporting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
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