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Python Ml Developer Jobs in Maine (NOW HIRING)

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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 ...

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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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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
Senior AI Programmer Analyst

Senior AI Programmer Analyst

University of New England

Biddeford, ME • On-site

$46.50 - $63/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 9 days ago

University Of New England rating

6.2

Company rating: 6.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

481st of 552 rated colleges and universities

Job description

Position Details
Position Information
Position Type
Professional Staff
Faculty Track
Position Title
Senior AI Programmer Analyst
Employment Status
Full Time
Months
12
Campus
Portland, ME
Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university's academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles
About the University of New EnglandUNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.
Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE's fantastic benefits package.
Responsibilities
AI Development & Implementation
  • Design, build, test, and deploy AI/ML models, pipelines, and applications
  • Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
  • Write clean, maintainable code (primarily in Python) following best practices
  • Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
  • Build and maintain data pipelines to support model training and deployment

Enterprise Integration & Collaboration
  • Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
  • Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
  • Support data quality efforts and develop monitoring tools to track model performance

AI Governance & Responsible Use
  • Apply responsible AI principles, including fairness, transparency, and data privacy
  • Conduct model evaluations, bias assessments, and risk analyses
  • Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
  • Contribute to AI governance frameworks and documentation

Technical Leadership & Engagement
  • Serve as a technical resource and mentor for AI-related work
  • Lead knowledge-sharing activities and promote AI literacy across the organization
  • Partner with stakeholders to define use cases and translate technical concepts into clear solutions
  • Participate in projects, working groups, and AI strategy initiatives
  • Other duties as assigned

Qualifications
Bachelor's degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
  • Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
  • Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
  • Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
  • Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
  • Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
  • Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
  • Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
  • Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
  • Commitment to data privacy, information security, and institutional policy compliance.

Preferred Qualifications
  • Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
  • Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
  • Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
  • Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
  • Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
  • Experience supporting or participating in major enterprise system implementations or upgrades.
  • Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
  • Experience with agile or iterative delivery methods in an enterprise systems context.

EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.
Vaccination Statement (PLEASE NOTE)
Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.
Additional Note
This position is not eligible for H-1B visa sponsorship.
Posting Detail Information
Posting Number
2022PS0908P
Open Date
06/02/2026
Close Date
Open Until Filled
Yes

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