AI Engineer

Thermo Fisher Scientific

. Develop, fine-tune, and deploy state-of-the-art NLP models using transformer architectures .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying NLP models using transformer architectures, with proficiency in Python and frameworks like PyTorch or TensorFlow. Strong analytical skills and experience in optimizing model performance in production environments are essential.

Highest-signal resume keywords

NLP Model DevelopmentTransformer ArchitecturesPyTorchTensorFlowRESTful API Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NLP Model DevelopmentTransformer ArchitecturesPythonJavaC++Distributed TrainingLow-Rank AdaptationDeep LearningComputer VisionReinforcement Learning

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

PyTorchTensorFlowFastAPIFlaskDjangoAWSAzureGCPDockerKubernetes

Certifications & Qualifications

Bachelor’s Degree in Computer SciencePhD in Computer Science

Industry Keywords

Artificial IntelligenceAgentic AILangChainLangGraphAutoGenCrew AI

Tech Stack

Tools & technologies

AWSAzureDjangoDockerFlaskGoogle Cloud PlatformJavaKubernetesPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Develop, fine-tune, and deploy state-of-the-art NLP models using transformer architectures
Implement robust, production-quality code using PyTorch or TensorFlow
Design and build RESTful APIs with FastAPI, Flask, Django, or similar technologies
Collaborate with product managers, data scientists, and other stakeholders to gather requirements and deliver NLP solutions
Optimize model performance and scalability in production while ensuring reliability and efficiency
Monitor, troubleshoot, and enhance NLP models deployed in production
Stay current on advancements in NLP and machine learning and apply best practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field
Proven experience developing NLP models
Solid understanding of language modeling and transformer architectures
Proficiency in Python, Java, or C++
Experience with PyTorch or TensorFlow
Familiarity with FastAPI, Flask, Django, or similar web frameworks
Understanding of Agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI
Strong analytical and problem-solving skills
Excellent communication skills
PhD in Computer Science or equivalent combination of education, training, and experience is helpful for standing out
Industry experience in Artificial Intelligence projects is helpful for standing out
Track record of publishing scientific papers in top conferences and journals is helpful for standing out
Experience with distributed training and low-rank adaptation
Experience with AWS, Azure, or GCP
Knowledge of Docker and Kubernetes
Familiarity with deep learning, computer vision, or reinforcement learning

Benefits

Comp & perks

Comprehensive healthcare, dental & vision
401k plan
PTO
Flexible benefits
Innovative environment
Inclusive workplace and diverse community
Global impact opportunities