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As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark™, Delta Lake and MLflow.
$247,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Ideal candidate should have a strong background in mathematics, statistics, and machine learning, along with solid skills in Python, Data Analysis/Visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
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Minimum Qualifications: 3+ years of professional experience in software engineering, using Python technologies Prior professional experience working with machine learning engineers and data scientists Experience with JavaScript frameworks such as React and TypeScript Professional experience with Spark and/or PySpark Prior experience with Gen AI tools such as GPT or BERT is a plus.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java, R , MATLAB, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Strong Knowledge of the theory and applications of machine learning, AI, deep learning, data science, NLP, text analytics, unstructured data analytics, supervised/unsupervised learning.
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The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
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3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis. 6+ years of experience in Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn, etc.) You will work alongside our talented team of developers, machine learning experts, product managers and people leaders.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Develop production machine learning solutions batch and realtime to provide the world class merchant experience.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.
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Experience with big data systems in production: eg, Spark, Pinot, Presto. About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively.
$278,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Python for data analysis, visualization, and experience with APIs, Linux OS, databases, big data technologies (e.g., Databricks, Spark), and cloud services. Job Summary: The Senior Data Scientist will be responsible for analyzing complex data using statistical and machine learning models, developing innovative solutions with NLP and Generative AI techniques, and working cross-functionally with teams to derive actionable insights.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Act as a subject matter expert and trusted advisor in system development, computer algorithms, NLP and machine learning. Programming languages as such, Spark, Python, Scala, Java are preferred.
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