Artificial Intelligence & Machine… at Booz Allen… · Charleston

Summary: Booz Allen Hamilton is a leading consulting firm, and they are seeking a Junior Artificial Intelligence & Machine Learning Engineer. In this role, you will apply machine learning techniques to process large datasets and deliver customer-focused solutions, collaborating with a team of engineers and data scientists to develop and maintain ML models. Responsibilities: - Conduct statistical analyses on business processes using ML techniques - Train, test, deploy, and maintain models that learn from data - Define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies - Collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world-class solutions - Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks Required Qualifications: - Experience in AI, Python programming, and deep learning frameworks such as PyTorch, MXNet, TensorFlow, or Keras, and big data technologies such as Hive, PySpark, Synapse, or Databricks - Experience developing Natural Language Processing (NLP), Large Language Model (LLM), or Retrieval-Augmented Generation (RAG) enabled solutions - Knowledge of AI-enabled systems - Knowledge of AI concepts such as clustering, regression, algorithm selection, and evaluation - Ability to address unbounded technical issues - Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements - HS diploma or GED Preferred Qualifications: - Experience working with API services for serving NLP and analytical models such as Flask or Fast API - Experience with DevOps tools such as Docker, K8s, or Gitlab CI/CD - Experience with HTML, CSS, and front-end web frameworks - Experience with Amazon Web Services (AWS) or Azure AI ML Services such as Bedrock and Sagemaker - Experience working in enterprise systems - Experience with Data Operations such as analytics, engineering, or platform - Knowledge of artificial intelligence principles and practices, including deploying ML models into production - Ability to evaluate algorithm performance - Bachelor's degree - Security+, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Required Skills: Python programming, Deep learning frameworks, Natural Language Processing Important Skills: AI concepts, Big data technologies, DevOps tools, AWS, Azure AI ML Nice-to-Have Skills: AI-enabled systems, Algorithm performance evaluation, Security+ certification, Cloud certification, Software Development certification, Computer Vision certification, Deep Learning certification, NLP certification Benefits: Health, life, disability, financial, and retirement benefits, Paid leave, Professional development, Tuition assistance, Work-life programs, Dependent care