Machine Learning Engineer

Job Title:
Innovative Machine Learning Engineer – Drive Next-Gen AI Solutions

Overview:
Are you passionate about transforming cutting-edge data science into tangible, real-world solutions? We’re seeking a highly skilled Machine Learning Engineer to join our dynamic R&D AI Center of Excellence. In this pivotal role, you will build and operate the infrastructure that powers our most advanced machine learning and computer vision models—from scalable training pipelines to on-device deployment on edge hardware. If you thrive in a collaborative environment and are excited about working on high-impact projects in diagnostics and microscopy, this opportunity is for you.

Required Skills:

• Proficiency in Python for machine learning and software development
• Experience with Spark and distributed computing frameworks such as Ray
• Strong understanding of SQL for data management
• Familiarity with ML frameworks like PyTorch and foundation/vision models
• Hands-on experience with cloud platforms, especially AWS (EC2, S3, Lambda)
• Proven ability to deliver solutions into production environments
• Expertise in containerization (Docker) and infrastructure-as-code tools (Terraform, CloudFormation)
• Knowledge of GPU/CUDA optimization techniques, including TensorRT and DLA inference tuning
• Linux expertise
• Excellent problem-solving, analytical, and collaboration skills

Nice to Have Skills:

• Experience with computer vision, microscopy, or scientific imaging data
• Familiarity with NVIDIA edge platforms (Jetson Orin/Thor) and related SDKs (Nsight, DeepStream)
• Experience creating and deploying serverless applications via AWS Lambda
• Knowledge of Databricks, MLflow, and ML tech stacks
• Experience with distributed systems like Ray and advanced ML deployment techniques

Preferred Education and Experience:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (Master’s or PhD preferred)
• 3+ years of professional experience in machine learning engineering, particularly in production environments

Other Requirements:

• Location: Hybrid – Westbrook, ME; willingness to commute or relocate
• Start Date: ASAP
• Duration: 5 months (extendable based on project needs)
• This position is W2 only; C2C candidates will not be considered

DeWinter Group and Maris Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.