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Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud). Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
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Business Intelligence tools: SSIS, Tableau, Power BI, ODI, and SQL.Programing Language: Python or JAVA.Data Science and Machine Learning: Python, MLOps applications. QualificationsBasic qualifications:Bachelor's degree in Electronics Engineering, Computer Science, or related field and 5 years of experience in the job offered or in a Senior Manager - Data Engineering-related occupation.
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Application spaces of algorithm development include graph theory optimization and quantum machine learning. candidates to perform cutting-edge experimental and theoretical research in a wide range of topics at the frontiers of quantum computing and quantum networking.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Knowledge working with relational databases and query authoring (SQL), and knowledge working with Python, R, or other machine learning platforms. Degree in Aviation, Data Science, Statistics, Mathematics, Operations Research, or Computer Science.
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Experience with cloud computing and security in the cloud such as AWS. - Bachelors degree in computer science or related field, preferred. Experience with multiple information technology and security technologies: IIS, SQL, firewall, IPS/IDS, Windows, Linux, Anti-Virus, mail filtering, WAF, encryption, CA authority, IDM/IAM, multi factor authentication, SSO, VPN, Zero Trust Technologies, Vulnerability Management, DDoS, SIEM, FIM, WIPS, MDM, Pen Testing, VMware and VM server platforms.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google's Vertex AI, Azure's AI tools, and AWS's Machine Learning services.
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. The ideal candidate will have a strong background in data science, machine learning, deep learning, NLP, Generative AI and statistical analysis, as well as experience in a leadership role.
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Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security. This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions.
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Duties of these positions include developing and sustaining a research program in one or more of our core areas ( high-performance computing, data science and visual analytics, scientific computing and simulation, artificial intelligence and machine learning, and computational bioscience and biomedicine.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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Engineering Mechanics and Infrastructure (EMI) applies engineering mechanics, materials science, numerical simulation, innovative technologies, and collective expertise to solve our clients' toughest problems in an inspiring work environment that nurtures life-long learning and growth.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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machine learning computer science cloud computing jobs Title: clearance in Atlanta, GA
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