AI Developer

Join our innovative team as an AI Developer and be at the forefront of transforming data into actionable insights through cutting-edge artificial intelligence solutions. In this role, you will design, develop, and deploy advanced machine learning models that drive strategic decision-making and operational excellence. Your expertise will help shape the future of intelligent systems, leveraging big data and sophisticated frameworks to solve complex problems with precision and agility. If you’re passionate about pushing the boundaries of AI technology and eager to make a tangible impact, this is the opportunity for you! • Develop, train, and optimize machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools to enhance predictive accuracy and efficiency. • Implement unsupervised learning techniques to uncover hidden patterns and insights within large datasets, supporting innovative data mining initiatives. • Design scalable database architectures and perform ETL (Extract, Transform, Load) processes to prepare data for analysis and model training. • Collaborate with cross-functional teams to integrate AI solutions into existing systems using Java, Python, C, Bash (Unix shell), and VBA scripting. • Deploy models into production environments utilizing cloud platforms like AWS, ensuring high availability and performance. • Conduct data analysis using SQL, R, SAS, Looker, and other analytics tools to inform model development and validate results. • Engage in natural language processing (NLP) projects to develop conversational agents or text analysis tools that improve user engagement. • Utilize big data technologies such as Hadoop and Spark for processing vast datasets efficiently in distributed computing environments. • Design and implement database schemas optimized for linked data applications to facilitate semantic interoperability. • Contribute to quantum engineering initiatives by exploring emerging AI techniques applicable to quantum computing paradigms. • Document processes thoroughly, including model training procedures, deployment steps, and analytical findings to ensure transparency and reproducibility. • Proficiency in machine learning frameworks such as TensorFlow, Spark MLlib, or similar platforms. • Strong programming skills in Python, Java, C, Bash (Unix shell), VBA, with experience in developing scalable AI applications. • Extensive knowledge of AWS cloud services for deploying AI models at scale with security best practices. • Expertise in unsupervised learning methods including clustering algorithms and dimensionality reduction techniques. • Hands-on experience with ETL processes using Talend or similar tools for data integration workflows. • Solid understanding of database design principles along with practical experience in SQL databases; familiarity with linked data concepts is a plus. • Experience working with big data technologies such as Hadoop for distributed storage and processing. • Knowledge of natural language processing (NLP) techniques for text analysis or chatbot development. • Familiarity with machine learning model training workflows—data preprocessing, feature engineering, hyperparameter tuning—and deployment strategies. • Ability to analyze complex datasets using R or SAS for statistical modeling and validation purposes. • Experience with analytics platforms like Looker for creating dashboards that visualize model outputs clearly for stakeholders. • Understanding of quantum engineering principles as they relate to emerging AI applications is advantageous but not mandatory. Embark on a journey where your expertise fuels innovation! We are committed to empowering our team members with opportunities for growth while providing a collaborative environment that celebrates curiosity and creativity. If you’re ready to leverage your skills in a dynamic setting that values forward-thinking solutions—apply now! Job Types: Full-time, Part-time, Contract, Internship Pay: $92,804.32 - $111,764.34 per year Expected hours: 40 per week Benefits: • 401(k) • Dental insurance • Health insurance • Paid time off • Tuition reimbursement • Vision insurance Work Location: Remote Apply tot his job