BAE Systems Inc is seeking a talented AI/ML Engineer to join our Enterprise Integration team and contribute to enterprise-level complex business solutions. As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics opportunities. 

We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.

Responsibilities:

• Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language models. 

• Collaborate with stakeholders to understand business requirements and translate them into actionable solutions. 

• Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity. 

• Produce visualizations and insights with the goal of communication to both technical and non-technical audiences. 

• Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks. 

• Participate in BAE Systems citizen developer programs centered around AI and become a resource for the system admin and integration services team. 

• Work closely with the existing AI/ML team at BAE Systems to leverage their expertise, share knowledge, and drive innovation in AI/ML solutions. 

Education:

• 8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning. 

• Strong understanding of large language models (LLMs) and their applications in AI. 

• Experience with Agent + RAG system and its application in data science and AI. 

• Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch. 

• Experience with data visualization tools such as Tableau, Power BI, and others. 

• Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku. 

• Experience with data mapping and modeling is a plus. 

• Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis. 

Preferred Education

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field 

• Experience working with large datasets and high-performance computing environments. 

• Strong understanding of data modeling, statistical inference, and machine learning techniques 

• Excellent communication and presentation skills 

• Experience with Docker and containerization 

• Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines 

• Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)