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# Machine Learning Engineer - AI Company

- **Company:** Jackson International, Inc.
- **Location:** Lincoln, MA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Data Transformation, Python (Programming Language), Machine Learning, NumPy, Software Engineering, Unstructured Data, Data Processing, Feature Engineering, Large Language Models, Deep Learning, Model Validation, Knowledge Representation, Pandas, Scikit Learn, Kubernetes, Information Technology, Data Management, Docker
- **Published:** May 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=33c1b023e8e46bfb

## About the Role

Do you have experience in Technical Proficiency?, Do you have a Bachelor's degree?, * Optimize Data Processing and Model Performance: Conduct comprehensive data management including preprocessing, feature engineering, and model evaluation to improve accuracy and efficiency.

 * Technical Proficiency with an NLP focus: Demonstrate solid machine learning engineering experience, particularly with NLP applications and unstructured data in a cloud environment. Fluency in Python is essential.
 * Understand Large Language Models: Intimately familiar with the model deployment process, optimization of LLM parameters for specific behaviors, and a general understanding of LLM functionality and use cases. Previous experience with AI/LLM governance and guardrail development is a big plus.

Soft Skills:

 * Ability to context switch as needed
 * Ability to communicate findings and recommendations clearly and constructively to peers, management, partners, and customers
 * Ability to effectively explain highly technical details to less technically focused decision makers
 * Ability to compartmentalize different projects with different goals
 * Able to communicate clearly and precisely - not just abstractions and "lines-and-boxes"

Specific Technologies:

 * Python
 * Python Data Science Stack - NumPy, Pandas, Scikit Learn, various deep learning and NLP libraries including demonstrable experience with libraries relevant to data manipulation.
 * Langraph, LlamaIndex, and/or other agentic libraries
 * Docker, Docker Compose, K8s, and related container orchestration technologies
 * Hands-on experience running local LLMs using technologies such as Ollama and Transformers
 * Have a comfort level building and training and/or fine-tuning models, not just calling cloud APIs, but you're resourceful enough to recognize when you can get away with using cloud APIs.
 * Aren't afraid of digesting academic papers, but you understand that it's building things that matters.
 * Have an understanding of both the fundamentals and applications of different NLP approaches.

Nice-To-Haves:

 * Some familiarity with knowledge representation
 * Previous experience with consulting on Defense projects involving software development, data science support, especially at service labs or joint commands., Applicants should have a bachelor's degree in Computer Science or similar. An MS or PhD in Computer Science, Statistics, Physics, Mathematics or any related Engineering field preferred. Candidates should have a minimum 5 years of experience in similar roles., * Bachelor's (Required)

Experience:

 * Machine learning: 5 years (Required)
 * Python: 5 years (Required)

## Description

* Collaborate Across Teams: Work with cross-functional, geographically distributed teams to integrate ML models into our existing systems and workflows, enhancing product capabilities.


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