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There are now 2 Remote Jobs at COMPAREX USA tagged Architecture, Engineer and Machine Learning
such as Azure Data Engineer Architect and Senior Machine Learning Engineer

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COMPAREX USA


Senior Machine Learning Engineer

Senior Machine Learning Engineer


COMPAREX USA


machine learning

senior

engineer

machine learning

senior

engineer

2yr
\nDo you yearn to make a significant impact?  Do you enjoy working in fast paced HIPO teams with challenging goals?  Are you ready for an experience that will put all of your technical and personal skills to the test?\n\n\nIf this environment appeals to you, we invite you to apply for a new special operations unit reporting directly to the CEO of one of the world's leading global technology solutions provider. \n\n\nToday we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.\n\n\nThis unit will be tasked with creating innovative solutions leveraging the rapidly evolving power of Machine Learning and Artificial Intelligence to provide new insights and value to our customers.  \n\n\nAbout the Job\n\n\nAs a Senior Machine Learning Engineer, you drive the vision to build and scale our machine learning and experimentation platforms. This is your opportunity to make a big impact - ranging from delivering a personalized customer experience to optimizing advertising spend to improving merchandising efficiencies.\n\n\nYou work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, distributed memory services, service monitoring, real-time experimentation, data transformations, and much more.\n\n\nYour services scale to support high volumes of traffic at low latency and high availability. This is a high profile position that will have exposure across the entire business.\n\n\nThe successful candidate owns the roadmap, features, and design of one or more core services. Responsibilities:\n\n\n\n* Design and build scalable machine learning services and data platforms\n\n* Feature engineering to improve model performance on key business metrics\n\n* Owner of key service and business metrics\n\n* Work with multiple teams to understand their goals, challenges, and roadmaps to inform your product roadmap\n\n* Design in a mindset of reducing technical debt and encourages others on the team to do so\n\n* Regularly and measurably improve and is a champion of team process and best practices\n\n* Mentor others in development technologies, tools, and processes\n\n* Work with minimal supervision under tight time constraints and respond to rapidly evolving requirements\n\n\n\n\n\nQUALIFICATIONS\n\n\n\n* 7+ years of software development experience building and operating high traffic web services and platforms 2+ years of practical Machine Learning experience.\n\n* Familiarity with frameworks such as Azure Machine Learning and Cognitive Services\n\n* Caffe Experience with Spark, Hadoop, Pig, MapReduce technologies\n\n* Excellent written and verbal communication skills\n\n* Strong software design and architecture skills with an eye toward avoiding and reducing technical debt\n\n* Demonstrated personal initiative and strong ownership of deliverables\n\n\n\n\n\nCandidate must be willing to travel domestically monthly for team meetings and training events.  Opportunity to work from home (if outside Raleigh area) or relocation if desired.  Excellent compensation and benefits package.\n\n\nWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

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COMPAREX USA


Azure Data Engineer Architect

Azure Data Engineer Architect


COMPAREX USA


architecture

engineer

architecture

engineer

2yr
\nDo you yearn to make a significant impact?  Do you enjoy working in fast paced HIPO teams with challenging goals?  Are you ready for an experience that will put all of your technical and personal skills to the test?\n\n\nIf this environment appeals to you, we invite you to apply for a new special operations unit reporting directly to the CEO of one of the world's leading global technology solutions provider. \n\n\nToday we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.\n\n\nThis unit will be tasked with creating innovative solutions leveraging the rapidly evolving power of Machine Learning and Artificial Intelligence to provide new insights and value to our customers.  \n\n\nAbout the Job\n\n\nThe Azure Data Engineer responsible for helping to select, deploy and manage the systems and infrastructure required for a data processing pipeline in support of the project's requirements. Primary responsibilities revolve around DevOps and include implementing ETL (extract,\n\ntransform and load) pipelines, monitoring/maintaining data pipeline performance. The Azure Data Engineer is proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa architectures, and has a broad experience across a set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Apache HBase, Azure\n\nDocumentDB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e.g., Apache Hadoop, Apache Spark, Azure Data Lake Analytics, Apache Storm, Azure HDInsight). The ideal candidate has three or more years of experience working\n\non solutions that collect, process, store and analyze huge volume of data, fast-moving data or data that has significant schema variability.\n\n\nQualifications & Skills\n\n\n\n* BA/BS in operations, computer science, mathematics, statistics, or other technical/quantitative discipline\n\n* 4+ years of BI development experience using MS-based technologies\n\n* 3+ years of experience developing models with large and complex datasets\n\n* Strong proficiency in DAX, SQL, Excel, Power BI\n\n* Excellent problem solving, critical thinking skills, and communication skills\n\n* Azure and COSMOS experience highly valued\n\n* Machine Learning and statistical modeling preferred\n\n\n\n\n\nCandidate must be willing to travel domestically monthly for team meetings and training events.  Opportunity to work from home (if outside Raleigh area) or relocation if desired.  Excellent compensation and benefits package.\n\n\nWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

See more jobs at COMPAREX USA

# How do you apply? This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
Apply for this Job

👉 Please reference you found the job on Remote OK, this helps us get more companies to post here!

When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.