Junior Machine Learning Engineer

CAE • Tampa, FL

4d • Onsite

About The Position

We are seeking a skilled Machine Learning Engineer to join our growing AI & Data Science team in R&D. This role is ideal for someone passionate about solving complex problems using data-driven approaches and deploying scalable machine learning solutions in production environments. Additionally, this role will focus on designing scalable NLP systems powered by state-of-the-art transformer models, optimizing inference performance, and integrating LLMs into real-world products. You’ll collaborate with cross-functional teams to deliver intelligent, language-driven solutions that enhance user experience and business outcomes. This position is onsite with locations in Tampa FL, Arlington TX, or Orlando FL.

Requirements

• Bachelor’s degree in Computer Science, Machine Learning, or a related field. Master’s degree is a plus.
• 0–2 years of experience in software development or machine learning projects (internships or academic projects count).
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Basic understanding of REST APIs and microservice architecture.
• Exposure to MLOps tools and practices (e.g., MLflow, Airflow) is a plus.
• Experience with Hugging Face Transformers, LangChain, or OpenAI APIs is beneficial but not required.
• Comfortable working with cloud platforms (AWS, GCP, or Azure), Linux, and container tools like Docker.
• Experience with SQL/NoSQL databases such as MySQL or MongoDB is a plus.
• Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Nice To Haves

• Exposure to deep learning, NLP, or computer vision through coursework or projects.
• Interest in feature engineering and model interpretability.
• Basic understanding of prompt engineering and optimization.
• Familiarity with multi-modal models and distributed training concepts is a plus.
• Experience with Git and CI/CD pipelines is helpful.
• Ability to learn quickly and work in a collaborative, agile development environment.

Responsibilities

• Assist in the development and testing of machine learning models for real-world applications under the guidance of senior engineers.
• Support the creation and maintenance of data pipelines and model training workflows using modern tools and frameworks.
• Participate in model evaluation and validation, helping to analyze performance metrics and suggest improvements.
• Help monitor deployed models and contribute to maintaining their reliability and accuracy.
• Contribute to the fine-tuning and deployment of large language models (LLMs) for tasks such as summarization, question answering, and chatbots.
• Learn and apply tools like ONNX, TensorRT, or vLLM to support efficient model serving.
• Assist in implementing retrieval-augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone).
• Collaborate with team members to optimize model inference for performance and cost.
• Work closely with cross-functional teams to understand project requirements and contribute to ML solutions.
• Stay informed about emerging trends and technologies in machine learning and AI.
• Document work, including model development and evaluation processes, for reproducibility and team knowledge sharing.

Benefits

• Comprehensive and competitive benefits package and flexibility that promotes work-life balance
• A work environment where all employees are valued, respected and safe
• Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
• Recognition, professional development, advancement and having fun!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees