MABASA / INDEED
AI Engineer
nan
- Location
- Dallas, TX, US
- Work type
- fulltime, internship
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
- Advertised salary
- USD 98,400-119,000
Job description from the source
**Overview** We are seeking a dynamic and innovative AI Engineer to join our forward\-thinking technology team. In this role, you will be at the forefront of developing, implementing, and optimizing cutting\-edge artificial intelligence solutions that drive impactful insights and transformative applications. Your expertise will enable us to harness the power of big data, machine learning, and advanced analytics to solve complex problems across diverse domains. This position offers an exciting opportunity to work with a talented team dedicated to pushing the boundaries of AI technology and delivering scalable, real\-world solutions. **Responsibilities** * Design, develop, and deploy AI models using frameworks such as TensorFlow and other machine learning tools to solve real\-world challenges. * Implement natural language processing (NLP) techniques for language understanding and generation tasks. * Lead model training, evaluation, and tuning processes to enhance accuracy and efficiency across various AI applications. * Develop scalable data pipelines utilizing ETL processes, Hadoop, Spark, Talend, and SQL databases to manage large datasets effectively. * Collaborate with cross\-functional teams to integrate AI models into production environments using cloud services like AWS and machine learning cloud platforms. * Conduct statistical analysis for research purposes, applying statistical modeling tools such as R and SAS to derive actionable insights. * Optimize big data systems for performance and scalability while ensuring data integrity through robust database design. * Explore generative AI techniques for innovative content creation and predictive modeling analysis for strategic decision\-making. * Support data mining initiatives by leveraging linked data, Hadoop ecosystems, and big data analytics tools like Looker. * Contribute to the development of AI implementation strategies that improve model deployment efficiency and operational scalability. **Experience** * Proven experience in developing machine learning models using frameworks such as TensorFlow or similar platforms. * Strong background in statistical analysis tools including R, SAS, or equivalent for research\-driven insights. * Hands\-on experience with SQL databases, Spark implementation, Hadoop ecosystems, and big data systems architecture. * Familiarity with cloud\-based machine learning services on AWS or comparable platforms for scalable AI deployment. * Knowledge of natural language processing (NLP), generative AI techniques, and predictive modeling analysis. * Proficiency in programming languages such as Python, Java, C, Bash (Unix shell), VBA or similar for automation and development tasks. * Experience with data analytics tools like Looker or other visualization platforms to communicate findings effectively. * Understanding of database design principles combined with expertise in data mining, data analytics, and model evaluation processes. * Ability to work on complex projects involving quantum engineering concepts or advanced big data solutions is a plus. Join us in shaping the future of artificial intelligence! We’re committed to fostering an environment where innovation thrives through collaboration and continuous learning—empowering you to make a meaningful impact with your skills in AI engineering. Pay: $98,400\.00 \- $119,000\.00 per year Benefits: * 401(k) * Employee assistance program * Retirement plan * Tuition reimbursement Work Location: In person
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