Join to apply for the Multimodal Machine Learning Engineer role at Booz Allen Hamilton .

To be considered for an interview, please make sure your application is full in line with the job specs as found below. 2 days ago Be among the first 25 applicants. The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today’s technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We’re looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you’ll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you’ll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can’t wait. You Have: 3+ years of experience as an ML engineer and building production-grade ML solutions with a programming language, such as Python, Rust, Go, Scala, or Java. 3+ years of experience working within data science or data research in a professional or academic environment, and training and deploying models across multiple modalities of data. 3+ years of experience working in cloud environments, including AWS and Azure. 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes. 2+ years of experience with Generative AI, including transformers or LLM project work. 1+ years of experience building or deploying production-grade RESTful APIs or software interfaces. Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use. Experience with MLOps, GitOps, and CI/CD tooling. Top Secret clearance. Bachelor’s degree. Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM. Experience with client engagements, client-facing project work, and business development. Experience with project work in deep learning, computer vision, NLP, or signal processing. Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services. Knowledge of Databricks, LangChain, or Kubernetes. Ability to adapt in a rapidly changing environment. Possession of excellent verbal and written communication skills. Possession of excellent interpersonal, analytical, problem-solving, and organizational skills. Master's degree. Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation: The projected salary range is $99,000 to $225,000 annually, depending on various factors including location, education, skills, and experience. This posting will close within 90 days from the posting date. Work Model: Our culture prioritizes flexibility and collaboration, whether in person or remotely. Specific work arrangements depend on the listed job type. Equal Opportunity: We are committed to non-discrimination and encourage all qualified applicants to apply.

#J-18808-Ljbffr