Gen AI Engineer Batch Systems Inc Sherman Oaks, CA Job Details Full-time | Internship $84,808.48 - $102,134.95 a year 5 hours ago Qualifications AI models TensorFlow Research AWS Machine learning libraries Machine learning frameworks Full Job Description Job Overview We are seeking a dynamic and innovative Generative AI (Gen AI) Engineer to join our cutting-edge technology team. In this role, you will work with the team to the develop, implement, and deploy advanced artificial intelligence models that leverage generative AI techniques. Your expertise will drive the creation of scalable, efficient AI solutions that transform data into actionable insights, enhance automation processes, and push the boundaries of machine learning and natural language processing. This position offers an exciting opportunity to work at the forefront of AI innovation, collaborating across teams to deliver impactful solutions that shape the future of intelligent systems. Duties Design, develop, and optimize generative AI models using frameworks such as TensorFlow and other machine learning tools. Implement scalable AI solutions on cloud platforms like AWS, ensuring high availability and performance. Conduct statistical analysis and modeling to evaluate model accuracy, robustness, and scalability. Develop data pipelines and ETL processes to prepare large datasets for training and testing AI models. Collaborate with data engineers to design efficient database schemas and implement data mining strategies using SQL databases, Hadoop, Spark, and Talend. Deploy machine learning models into production environments with a focus on model evaluation, monitoring, and continuous improvement. Utilize natural language processing techniques for language understanding tasks and generate human-like content with Generative AI models. Apply unsupervised learning methods for clustering, anomaly detection, and feature extraction from big data systems. Leverage machine learning cloud services for training large-scale models efficiently while ensuring scalability across diverse data sources. Engage in statistical analysis tools such as R or SAS to support research-driven insights and model validation efforts. Contribute to cross-functional teams by translating complex technical concepts into clear business value propositions. Skills Proficiency in programming languages including Python, Java, C, Bash (Unix shell), VBA, and Java for developing robust AI applications. Extensive experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other relevant tools. Strong knowledge of big data systems like Hadoop, Spark implementation, and data analytics platforms such as Looker or Talend. Hands-on experience with cloud-based AI services on AWS or similar platforms for model training and deployment. Expertise in natural language processing (NLP), predictive modeling analysis, and generative AI techniques. Deep understanding of database design principles along with SQL query optimization skills. Familiarity with statistical analysis tools including R or SAS for research purposes. Knowledge of scalable data mining strategies for extracting insights from large datasets. Experience with model evaluation metrics to ensure high-quality AI models suited for real-world applications. Ability to implement scalable machine learning/AI-based analysis workflows that support enterprise-level projects. Awareness of quantum engineering concepts is a plus but not mandatory; a strong foundation in AI scalability is essential. Join us to be part of a forward-thinking team dedicated to harnessing the power of artificial intelligence! Your expertise will help shape innovative solutions that redefine what's possible with data-driven technology while working in an energetic environment committed to continuous growth and discovery.

Pay:

$84,808.48 - $102,134.95 per year

Work Location:

In person