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Our RTLS stack has machine learning and data science at its heart, and together with other algorithms provides indoor localization at scale. You love working with data and have some experience with data science/ML pipelines for data labelling, model training or inference services.
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Proficiency in SQL, Spark, Python, Python data science stack (NumPy, SciPy, Pandas, Scikit-Learn, Jupyter), Keras, and other ML tools. A sophisticated understanding of data science techniques and algorithms, including machine learning algorithms and deep learning architectures.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
$82,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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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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The tech stack for the teams includes Azure, GCP, Github, BigQuery, Kubernetes, Terraform, Helm, Java, Spring Boot, Scala, React, Node, Python and PostgreSQL. The teams use Jira to support their Agile development processes.
$131,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We will have you work on rotational assignments for a variety of experiences including Full- Stack development, Cloud, Data, and products like Salesforce, Mosaic, Duck Creek, etc. A major in either Math, Engineering, Computer Science, Computer information Systems, Cyber Security, Management Information Systems (MIS) and Data Science, and others.
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1-5 years of experience in software engineering, data engineering, data science, with a strong emphasis on full stack development. serves as the experiential learning engine for students majoring in computer science, data science, computer engineering and related disciplines, providing opportunities for students to work on real-world projects learning focused on the application of data science, machine learning, and software engineering skills through a series of practicum courses and labs organized around thematic priority areas such as social justice, sustainability, and civic tech.
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Competency in multiple programming languages, libraries, and tools in each of the following categories: front-end stack (e.g., JavaScript, React, Angular, Mapbox, and AWS), back-end stack (e.g., Python, R, Julia, MATLAB), and geospatial back-end (GeoPandas, raster image databases, vector feature databases, coordinate reference system conversions, spatial indexing.
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The Motorq leadership team has interdisciplinary experience in automotive engineering, full-stack software engineering, data science, and SaaS startups. We are looking for a Technical Customer Success Manager to join our team and own a portfolio of relationships within Motorq, focusing on enterprise customers from a product and technical perspective to assist them in modernizing their approach to connect car data.
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Fluency in Python, machine learning frameworks (Pytorch, Tensorflow, etc), data science tools and cloud services preferred. Contributing to the architecture and design of the data science software ecosystem that runs on the embedded sensor platform.
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
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stack data science jobs in Boston, MA
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