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The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for LexisNexis in their global expansion.
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Skills: Python, pyspark, Machine Learning Models, Lakehouse, Datalake, API Data Consumption, Data Governance, Terraform, ETL Top Skills Details: Python,pyspark,Machine Learning Models,Lakehouse,Datalake,API Data Consumption,Data Governance,Terraform,ETL Additional Skills & Qualifications: College Degree (4 yrs) is required Experience Level: Intermediate Level About TEKsystems: We're partners in transformation.
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Technical: Educational foundation or substantial knowledge in computer science, artificial intelligence, machine learning, or related fields. - Learning Environment: Foster an environment conducive to quick learning and knowledge sharing.
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TEKsystems is an Allegis Group company. ML tools: Torch, TensorFlow and PyTorch frameworks. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.
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Leverage AI and machine learning technologies, such as TensorFlow, Vertex AI, and AutoML, to enhance data insights and drive business value. Knowledge of AI and machine learning technologies, such as TensorFlow, Vertex AI, and AutoML.
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The GCP Data Solution Architect (SA) is a pre-sales professional, responsible for solution development in support of Data Modernization and Artificial Intelligence engagements leveraging Google Cloud in collaboration with TEKsystems sales partners.
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Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
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Job Summary One of the Largest Global Insurance Company is Looking for Senior Data Scentis Skill Requirments: Strong experience of BI systems, Power BI, Qlik Sense, etc.
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Python,Data science,Machine learning,artificial intelligence,Sql,BigQuery,Google,git,github,looker. Python, Data science, Machine learning, artificial intelligence, Sql, BigQuery, Google, git, github, looker.
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Data science, machine learning, data, sql, metadata, deltalake, databricks, AWS, amazon web services. Desired certifications to include: Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Microsoft Certified Data Scientist or AI Fundamentals Tensorflow Developer SAS Certified Professional in AI and Machine Learning.
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Our client is seeking a Senior Software/Data Engineer to design, build and manage data pipelines and integrations, machine learning and rules-based classification and applications in support of high impact clinical insights initiatives.
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Apply strong expertise in A.I. using machine learning, data mining, and modeling to design, prototype, and build next-generation knowledge management tools. Independently solve complex problems: from understanding the problem, translating it to a data science solution, exploring multiple machine learning algorithms, and implementing the appropriate algorithm.
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Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. 3+ years experience with developing Machine learning solutions and architectures for Natural language processing domain.
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Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language - Processing, Best Next Action, and Time Series predictions.
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machine learning jobs Company: Teksystems in Phoenix, Oregon
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