Machine Learning Engineer – Multimodal, Mid-Level Join to apply for the Machine Learning Engineer – Multimodal, Mid-Level role at Jobright.ai

Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Machine Learning Engineer – Multimodal, Mid-Level 2 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer – Multimodal, Mid-Level role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Booz Allen Hamilton is a leader in developing mission-oriented machine learning solutions for the Defense and Intelligence sectors. They are seeking an experienced Multimodal Machine Learning Engineer to design, create, and implement AI systems that enhance client operations and optimize machine learning systems. The role involves working with fast-moving data, ensuring scalability, and considering future enhancements in various mission environments. Responsibilities: • Design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. • Ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Qualifications: Required: • 3+ years of experience as a 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 Preferred: • 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 Company: Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, Virginia, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in Washington, United States . 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