ZipRecruiter

Log In

1

Python Ml Developer Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

... ML engineers on deployment-related tasks. Qualifications : Required : • Master's degree in ... in Python for data analysis and model development (NumPy, pandas, scikit-learn). • Working ...

Northeastern University

Data Scientist

Portland, ME · On-site

... with ML engineers on deployment-related tasks. • Ability to clearly communicate analytical ... in Python for data analysis and model development (NumPy, pandas, scikit-learn). • Working ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

FirstLight

Carrier Voice Engineer

Brunswick, ME · On-site

$75K - $95K/yr

Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly ... Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash ...

Td

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

... ML expertise, and the ability to independently translate business requirements into actionable ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

... ML expertise, and the ability to independently translate business requirements into actionable ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Maine

Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Maine?

For Python Ml Developer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Maine look for?

The top searched job categories for Python Ml Developer jobs in Maine are:

What cities in Maine are hiring for Python Ml Developer jobs?

Cities in Maine with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Maine as of June 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for its AI Solutions Hub at the Roux Institute in Portland, Maine. This role is designed for early-career data scientists to contribute to the development and delivery of AI and data science solutions across various industries while gaining exposure to production systems and modern AI practices.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Qualifications:
Required:
• Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply