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Job Description
Job Summary We are seeking a dynamic and innovative Artificial Intelligence (AI) Engineer to join our forward-thinking team. In this role, you will drive the development, implementation, and deployment of cutting-edge AI solutions that transform data into actionable insights. Your expertise will help shape our machine learning models, natural language processing systems, and big data analytics platforms, enabling us to stay at the forefront of technological advancements. This position offers an exciting opportunity to work with a diverse array of AI frameworks and cloud services, contributing to impactful projects that push the boundaries of artificial intelligence. Duties Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI libraries to solve complex business problems. Implement unsupervised learning techniques to uncover hidden patterns and insights within large datasets. Collaborate with cross-functional teams to integrate AI models into scalable applications using cloud platforms like AWS. Conduct data mining and ETL (Extract, Transform, Load) processes to prepare data for analysis and model training. Develop robust database designs and manage big data solutions utilizing Hadoop, Spark, and related technologies for efficient data processing. Deploy AI models into production environments ensuring high performance and reliability through model deployment best practices. Utilize natural language processing (NLP) techniques to enhance language understanding capabilities within applications. Leverage SQL, Python, R, SAS, VBA, Bash (Unix shell), Talend, Looker, and other tools for analytics, scripting, and reporting purposes. Engage in continuous learning of quantum engineering concepts and advanced analytics methodologies to innovate AI solutions further. Skills Extensive experience with machine learning frameworks such as TensorFlow and Spark MLlib. Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), with proficiency in SQL for database querying. Deep understanding of big data technologies including Hadoop and Hadoop ecosystem tools like Talend for data integration. Proven ability in model training, tuning, deployment, and monitoring within cloud environments such as AWS. Expertise in natural language processing (NLP), data mining techniques, and linked data principles for semantic analysis. Knowledge of database design principles for scalable storage solutions supporting AI applications. Familiarity with analytics tools like Looker for visualization and reporting purposes. Experience working with machine learning algorithms involving unsupervised learning methods. Ability to collaborate effectively across teams while managing multiple projects in a fast-paced environment. Join us if you're passionate about harnessing the power of artificial intelligence to revolutionize industries! We value innovation, curiosity, and a proactive approach to solving complex challenges—help us shape the future of technology through your expertise!
Pay:
$62,447.63 - $75,205.75 per year
Benefits:
401(k) Dental insurance Flexible schedule Health insurance Paid time off Vision insurance