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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Experience with data platforms (Databricks, Snowflake, etc.) The Software Engineering Director will be responsible for building and leading a high performing team that is focused on using technology, advanced analytics, embedded insights, and product design principles to innovate and deliver modern solutions aligned to strategic initiatives in support of Supplemental Health Solutions (SHS) products.
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Strong proficiency in programming languages such as Python or R, as well as experience with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow). Continuous Learning and Innovation: Stay abreast of the latest developments in data science, machine learning, marketing analytics, and digital marketing trends.
$83,160 - $118,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion.
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We use modern technologies like: Google Cloud Platform, GoLang, GRPC, Kubernetes, Tensorflow, PostgreSQL, Typescript (Angular), Swift (iOS), and Kotlin (Android). Modern office space in downtown Denver with daily coffee, tea, drinks & snacks.
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Experience with Python programming language · Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
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Python data science / machine learning libraries such as scikit-learn, TensorFlow, Keras, Pytorch. Job Title: Machine Learning Engineer (Top Secret-SCI Clearance) As a Machine Learning Engineer, you will contribute to the development of innovative AI/ML algorithms across various disciplines including object detection/classification, natural language processing, reinforcement learning, and large language models.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
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Experience with big data processing and technologies: ETL, Hadoop, Elasticsearch for Hadoop, structured data, SQL schemas and queries, Apache Spark, Databricks, etc. As a Senior Cloud Data Engineer supporting the SAFFIRE program, you will be working closely with developers and data scientists to establish a consolidated data analytics environment utilizing COTS and FOSS software.
$95,500 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
$96,400 - $168,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are surpassing the boundaries of classical physics and modern supercomputing, ushering in a new era of computing that promises to revolutionize industries including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond.
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We are seeking a Masters Level Licensed Psychotherapist (LMFT, LPC, LCSW) or Doctoral Level Psychologist (Ph. D. or Psy. D.) full-time to join our team to offer in-person and telehealth therapy in Denver, Colorado to children and young adults with developmental disabilities, ADHD, learning differences, giftedness, and comorbid anxiety and mood disorders.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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VP, Data Center Power Procurement. Salary and whole compensation package (bonus target & LTI) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
$185,000 - $254,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
modern data machine learning jobs Company: Wex in Denver, CO
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No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
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Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
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When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
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When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.