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There are now 3 Remote Jobs at phData tagged Architecture, Machine Learning and Engineer
such as Machine Learning Platform Architect, Solutions Architect and Machine Learning Engineer

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phData

 

Machine Learning Engineer

Machine Learning Engineer  


phData


machine learning

engineer

machine learning

engineer

6mo
\nAre you inspired by innovation, hard work and a passion for data?    \n\nIf so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  \n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).\n\nAs the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.\n\nIn addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.\n\nAs a Machine Learning Engineer, your responsibilities include: \n\n\n\n\n* Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users\n\n\n\n* Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.\n\n\n\n* Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models\n\n\n\n* Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production\n\n\n\n* Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines\n\n\n\n\n\n\nQualifications\n\n\n* Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)\n\n* Solid programming experience in Python, Java, Scala, or other statically typed programming language\n\n* Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc\n\n* Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.\n\n* Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries\n\n* Excellent communication skills; previous experience working with internal or external customers\n\n* Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics\n\n* 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.\n\n\n\n\nKeywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP

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phData

 

Solutions Architect

Solutions Architect  


phData


architecture

architecture

8mo
\nIf you're inspired by innovation, hard work and a passion for data, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of global and enterprise clients.  \n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth at our company headquarters conveniently located in Downtown Minneapolis and expanding throughout the US. Notably we've also been voted Best Company to Work For in Minneapolis for the last 2 years.   \n\nAs the world’s largest pure-play Big Data services firm, our team includes Apache committers, Spark experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Hadoop services and our commitment to excellence.\n\nIn addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity. \n\nAs a Solution Architect on our Big Data Consulting Team, your responsibilities will include: \n\n\n* Design, develop, and innovative Hadoop solutions; partner with our internal Infrastructure Architects and Data Engineers to build creative solutions to tough big data problems.  \n\n\n\n* Determine the technical project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions.  Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews\n\n\n\n* Work across a broad range of technologies – from infrastructure to applications – to ensure the ideal Hadoop solution is implemented and optimized\n\n\n\n* Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources\n\n\n\n\n\n* \n\nDesign and implement streaming, data lake, and analytics big data solutions\n\n\n* \n\nCreate and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines\n\n\n* \n\nSelect the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths\n\n\n* \n\nUtilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)\n\n\n* \n\nPartner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software\n\n\n* \n\nDetermine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala\n\n\n* Local Candidates work between client site and office (Minneapolis).  Remote US must be willing to travel 20% for training and project kick-off.\n\n\n\n\nTechnical Leadership Qualifications\n\n\n* \n\n5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics\n\n\n* \n\nExpertise in core Hadoop technologies including HDFS, Hive and YARN.  \n\n\n* \n\nDeep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc\n\n\n* \n\nExpert programming experience in Java, Scala, or other statically typed programming language\n\n\n* \n\nAbility to learn new technologies in a quickly changing field\n\n\n* \n\nStrong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries\n\n\n* \n\nExcellent communication skills including proven experience working with key stakeholders and customers\n\n\n\n\n\nLeadership\n\n\n* \n\nAbility to translate “big picture” business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics\n\n\n* \n\nExperience scoping activities on large scale, complex technology infrastructure projects\n\n\n* \n\nCustomer relationship management including project escalations, and participating in executive steering meetings\n\n\n* Coaching and mentoring data or software engineers \n\n\n

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phData


Machine Learning Platform Architect

Machine Learning Platform Architect


phData


architecture

machine learning

architecture

machine learning

9mo
\nData Science and Big Data are all we do.\n\nIf you're inspired by innovation and passionate about driving customer success - this may be the ideal opportunity to leverage your systems engineering and automation experience to build and support Machine Learning platforms for the clients we serve.\n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters located in downtown Minneapolis and in Bangalore, India.\n\nAs the world’s first and only Data Science Enablement services firm and the largest pure-play Big Data service provider, our team includes Apache committers, Machine Learning experts and the most knowledgeable Spark and Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Data Science and Big Data services along with our commitment to excellence.\n\nIn addition to phenomenal growth and learning opportunities, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid certifications - in addition to generous PTO, a comprehensive benefits program and employee equity.\n\nMachine Learning Platform Architect\n\nAs a Machine Learning Platform Architect, you will serve as the guiding force in architecting and engineering Machine Learning platforms for enterprise clients. In this hands-on role, your responsibilities will include:\n\n\n* Help automate and deploy Machine Learning platforms and applications\n\n* Guide customers on the best practices of upgrades, patches, and maintenance\n\n* Deploy continuous integration and security\n\n* Maintain constant curiosity and a thirst for learning\n\n* Investigate product related issues both for individual customers and for common trends that may arise\n\n* Participate in occasional weekend on-call rotation for critical support needs\n\n* Provide a best-in-class customer experience\n\n\n\n\nRequired Experience:\n\n\n* 5-7 years of Linux Systems Engineering experience to include monitoring, patches, upgrades, and O/S support\n\n* Proven system/application automation and deployment experience using Ansible, Chef, Puppet or similar tools\n\n* Experience with Application Web Frameworks is a plus;  Apache, Engenix, Tomcat, Spring, Flask, Play, etc is plus\n\n* Previous Consulting experience with external customers is highly preferred\n\n* Hands-on configuration with Security including LDAP, Active Directory\n\n* Passion for providing a great customer experience\n\n* Ability to work in a fast paced and agile environment\n\n* Excellent communication skills (written and verbal)\n\n* Strong problem-solving and analytical skills\n\n* Demonstrable troubleshooting skills\n\n* A positive attitude toward feedback and continual improvement\n\n\n\n\nPreferred Qualifications:\n\n\n* Working knowledge and experience with Python related technologies.\n\n* Understanding of networking, distributed systems, and Linux operating system concepts\n\n* Knowledge of relational database management systems (RDBMS), SQL and database concepts\n\n* On-the-job experience troubleshooting enterprise customer issues\n\n* Knowledge and experience with Kubernetes\n\n\n

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