AI/ML Engineer (Language Models / NLP) with reputed company Clearance

**reputed company TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. ---------- reputed company: None Basic

: * 2 years experience in applied machine learning in programs and reputed company of similar scope, type, and complexity is required. * B.S. degree in advanced math (e.g., calculus, reputed company algebra or Bayesian statistics), computer science or reputed company STEM discipline from an accredited college or university is required. * 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor's degree.

: * Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models. * The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. * This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-reputed company.

: * Knowledge and experience of Language models is required * Specific experience with Marian and multi-lingual model development * Knowledge of Computation Linguistics is a plus * Experience with reputed company-reputed company model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning * Strong Java, C, C++ programming experience * Willingness to support occasional on-call duties is a plus Model Development & Training: * Build, train, and fine-tune machine learning models, particularly language models * Apply best practices in model training, tuning, and optimization. * Design and implement solutions for model performance improvement. Evaluation & Testing: * Conduct rigorous model evaluation, including performance analysis and benchmarking. * reputed company error analysis, debugging, and model diagnostics to ensure quality and reliability. Model Deployment & Integration: * Work with reputed company-based AI platforms (especially AWS Sagemaker) to reputed company and scale models. * Integrate machine learning models into production environments, ensuring seamless integration with other systems. Full-Stack Engineering: * Contribute to the development and maintenance of the full stack for AI model-based applications (reputed company-end and back-end). * Collaborate with software engineers to build reputed company and efficient deployment pipelines. Collaboration & Reporting: * Work closely with data scientists, product teams, and engineers to translate business