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Have expertise in both machine learning and DevOps practices, ensuring seamless integration of ML solutions into the software development lifecycle. Design, develop, and implement machine learning algorithms and artificial intelligence systems to solve complex problems.
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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform.
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Our staff is comprised of registered professionals in civil engineering, geology, hydrogeology, and geotechnical engineering. Providing technical support for well drilling, wellhead protection, water rights, geologic and hydrogeologic investigations, hydrogeologic testing, geologic and hydrogeologic visualization, analytical and numerical groundwater flow modeling, contaminated sites investigations, and development of conceptual site models.
$105,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
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Proficiency with relevant software or programming languages, e.g. MATLAB, SIMCA, gPROMS, DeltaV, OSI PI, R/R Shiny, Python, machine learning libraries. Masters or PhD. in Chemical Engineering, Bioengineering, Data Science/Engineering, Computer Science, Computer Engineering, or related fields.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
$90,107.16 - $94,637.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory. Documentation – Comfortable documenting each step of the software delivery life cycle on wiki and our change management software ServiceNow.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Minimum of 3 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Minimum of 3 years of driving insights using visualization tools (Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics) You have energy and drive in abundance, along with personal resilience, a passion for serving clients, and a love of continual learning.
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machine learning data mining software engineering visualization jobs Company: Sheetz
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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!
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The story of our US-Ukraine connection started when Kevin met Dave. Days away from quitting his last "real" job as a seafood plant manager, Kevin reconnected with a long-lost friend from high school. Little did he know, this long-lost friend was dating his soon-to-be business partner. After meeting Dave through their mutual connection, it didn't take long for the two to start bouncing business ideas off each other. The flow of creativity soon grew into a business partnership that has withstood the test of time.
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Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
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There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.