NLP/ML Engineer I - Full-Stack & Cloud Deployments

Reflexive Concepts, LLC; Maryland; Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Reflexive Concepts, LLC seeks an AI/ML I with hands-on NLP and full-stack development experience. You will work across model development lifecycles, from training to deployment, collaborating with cross-functional teams to deliver impactful AI solutions.

The ideal candidate has 2 years of applied ML experience, a B.S. in a STEM field, and familiarity with language models, Marian, and multilingual NLP. Proficiency in Java/C/C++ and AWS tools is highly valued.

Formación

• 2 years of applied ML experience in programs and contracts of similar scope, type, and complexity is required.
• B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related 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.
• Knowledge and experience of Language models is required.
• Specific experience with Marian and multi-lingual model development is required.
• Knowledge of Computation Linguistics is a plus.
• Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning is required.
• Strong Java, C, C++ programming experience is required.
• 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; Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration: Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy 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 (front-end and back-end); Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting: Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions; Document workflows, model design processes, and technical specifications

Responsabilidades

• 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 Open-Source 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.
• Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration: Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy 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 (front-end and back-end).
• Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting: Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
• Document workflows, model design processes, and technical specifications

Conocimientos

NLP expertise

Language models

Full-stack development

Java, C, C++ programming

AWS tools (SageMaker, Lambda, EC2, S3)

Git / MLFlow

Containerization (Kubernetes)

Problem solving

Educación

B.S. in advanced math / CS or related STEM

3 years ML experience substitution for degree

Herramientas

TensorFlow

PyTorch

Hugging Face

MLFlow

Kubernetes

AWS (SageMaker)

Docker

Descripción del empleo

Reflexive Concepts, LLC seeks an AI/ML I with hands-on NLP and full-stack development experience. You will work across model development lifecycles, from training to deployment, collaborating with cross-functional teams to deliver impactful AI solutions.

The ideal candidate has 2 years of applied ML experience, a B.S. in a STEM field, and familiarity with language models, Marian, and multilingual NLP. Proficiency in Java/C/C++ and AWS tools is highly valued.