Artificial Intelligence/Machine Learning (AI/ML) Engineer – Skill Level 1
Specialization: Natural Language Processing (NLP), Multilingual Language Models & AI/ML Development
Required Clearance: Active TS Clearance with Customer Appropriate Polygraph
Hourly Pay Range: $20.00–$50.00
Wyetech is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer Level 1 to support the design, development, training, fine-tuning, evaluation, deployment, and sustainment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP), multilingual language models, and AI-driven applications.
The successful candidate will be responsible for building and optimizing language models, including Marian-based machine translation and multilingual model development, while supporting the complete machine learning lifecycle. This position requires hands-on experience with modern AI/ML frameworks, open-source model libraries, deep learning containers, GPU technologies, and cloud-based machine learning platforms.
The AI/ML Engineer will collaborate with data scientists, software engineers, product teams, and mission stakeholders to develop scalable solutions that meet operational requirements. Responsibilities include model architecture design, training and retraining, statistical analysis, performance benchmarking, deployment, production integration, and ongoing optimization.
The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS services such as SageMaker, Lambda, EC2, and S3. A strong understanding of full-stack software development, data engineering, infrastructure management, and secure model deployment is also important.
Required Skills/Experience
Hands-on experience developing, training, fine-tuning, evaluating, and deploying machine learning models, particularly language models and NLP solutions.
Demonstrated knowledge of language model architectures, training methodologies, optimization techniques, and model evaluation practices.
Experience with Marian and multilingual language model development, including machine translation or multilingual NLP applications.
Experience working with open-source machine learning model libraries and frameworks.
Experience using deep learning containers (DLCs) to support model development, training, and deployment.
Experience with GPU technologies, including GPU-based model training, performance optimization, and tuning.
Strong programming experience in Java, C, and C++.
Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
Experience developing, training, retraining, testing, and optimizing machine learning models.
Experience selecting appropriate datasets and performing statistical analysis to support model development.
Experience evaluating model accuracy, performance, reliability, and operational effectiveness.
Experience conducting error analysis, debugging, benchmarking, and model diagnostics.
Experience using cloud-based AI/ML platforms, particularly AWS SageMaker.
Familiarity with AWS services such as Lambda, EC2, and S3 for model development, deployment, and infrastructure integration.
Experience integrating machine learning models into production applications and operational systems.
Experience supporting full-stack software development, including frontend and backend application components.
Experience developing software applications using JavaScript, Python, Java, or comparable programming languages.
Strong understanding of data structures, algorithms, software architecture, and system design.
Experience collaborating with software engineers to develop scalable model deployment pipelines.
Experience working with cross-functional teams to translate operational requirements into technical AI/ML solutions.
Experience documenting model architectures, development workflows, evaluation results, and technical…