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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Google Cloud Professional Machine Learning Engineer certification. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms.
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Work closely with the rest of the Pre-Sales and Product management team and build Proof of Concepts ( PoC) using Machine Learning, Natural Language Processing and AI powered platform focused on advanced technologies such as deep learning, process automation, etc.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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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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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models.
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Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Routing, Recording and Analytics including Transcription, Outbound, Work force Management or Optimization, Historical Reporting & Analytics, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial intelligence /machine learning.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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This role will be responsible for the strategic development of our data platform within Snowflake, the transition of BI tools from DOMO to Power BI, and the integration of machine learning and AI to optimize business processes and decision-making across all departments.
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Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi) Lead development of game features that integrate machine learning and experimentation into the game server, backend services, and data warehouse.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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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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google cloud machine learning jobs Title: service director in Hurricane, West Virginia
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