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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Job Summary Urban Grid is seeking a highly skilled and motivated Supervisory Control and Data Acquisition (SCADA) Engineer to join our team. The SCADA Engineer will provide oversight and technical management of SCADA systems during preconstruction and construction through O&M for multiple Urban Grid’s solar projects.
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Configure and program automation devices, such as programmable logic controllers (PLCs), real time automation controllers (RTAC), human-machine interfaces (HMIs), and supervisory control and data acquisition (SCADA) systems.
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Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, Object Storage. Title: Senior Machine Learning Engineer. Responsibilities include: Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems.
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Strong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
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Must have 4 years of postbaccalaureate experience as a Software Engineer, Developer, Data Analyst or a closely related IT role. The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Predictive Preventative Maintenance (PPM) data in Computerized Maintenance Management System maintenance information systems (e.g. CMMS, SAP) Lead the migration of Client Inspections and Data from Capstone into APM GE, 4.4.
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This assignment will be full time in Midland, TX. The role of Control Systems/Instrumentation Engineer is to work on smaller projects, and/or as a team member of larger projects, under the guidance of a Senior Electrical or Control Systems Engineer.
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Proficiency in Aspen Hysys, Aspen Plus, COMSOL Multiphysics, and data analysis tools such as Python, R, MATLAB, or similar. Conduct complex data analyses and architectural modeling using tools like RISK, Python, R, or MATLAB to forecast performance and optimize system designs.
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Communicates how T-Mobile can enable industry 4.0 capabilities to explore ways of boosting Commercial business productivity through robotics, IoT, big data analytics and augmented reality.
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You will apply design/operations, reliability, and system modeling/data analysis knowledge/expertise PRA and HRA support to all of the JSC human space flight programs. · Perform reliability data analysis, including the collection, classification and validation of data used to model and predict the reliability of complex spaceflight systems and crew operations under extreme environmental conditions.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to joinour team to help deliver customer facing AI models into production.
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Position Summary: As a Virtual Cyber Security Sales Engineer at our Client, you will play a pivotal role in driving the success of our cybersecurity solutions across the United States. Virtual Cyber Security Sales Engineer.
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big data engineer jobs Company: Adobe in Houston, TX
FEATURED BLOG POSTS
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
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"Nothing we do is more important than hiring and developing people."
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.