1

Python Ml Developer Jobs in Maine (NOW HIRING)

next page

Showing results 1-20

Python Ml Developer information

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 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 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 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:
Infographic showing various Python Ml Developer job openings in Maine as of May 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Staff Backend Software Eng. - Data Platform

Staff Backend Software Eng. - Data Platform

WEX, Inc.

Portland, ME • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


WEX Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

10th of 17 rated payment service providers


Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
About the the Company
WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.
About the role
As a Staff Software Engineer, you will be a key technical leader responsible for the design, implementation, and maintenance of WEX's data lake platform. This role is central to our vision of creating a unified, scalable, and intelligent data infrastructure that supports both traditional analytics and next-generation AI/ML technologies.
You will drive the technical development of the platform, ensuring our systems, services, and tools are built with a strong focus on security, quality, reliability, performance, and scalability. This position requires a technically deep and hands-on leader who can balance near-term execution with long-term architectural health.
You will work closely with other senior engineers and teams across the organization, including Data & Analytics and Information Security, to understand business needs and guide the design, development, and productionalization of our data platform.
This is a fantastic opportunity for a highly motivated and experienced engineer to make a real business impact by solving large-scale, complex problems in a fast-growing tech company. We are looking for an individual who is passionate about building robust data infrastructure and can mentor the next generation of engineers.
Is this role for you?
  • YES, if: You are a Backend/Software Engineer who loves solving "Big Data" problems, building APIs for data discovery, and optimizing distributed systems.
  • NO, if: Your primary expertise is writing SQL queries, building Tableau dashboards, or managing ETL workflows without deep experience in Java or Python system architecture.

How you'll make an impact
  • Platform Strategy & Leadership: Lead the technical vision, architecture, and strategy for the Data Lake platform. Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals.
  • Technical Execution & Innovation: Design and lead the implementation of our data lake platform and services. Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices.
  • Cross-Functional Partnership: Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions. Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design.
  • Mentorship & Team Development: Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills. Foster a culture of continuous learning, innovation, and accountability for quality results.
  • Stakeholder Communication: Report on the status of development, quality, and system performance to management and partners. Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs.

Experience you'll bring
Experience:10+ years of experience in software design and development, with a focus on building large-scale, distributed systems.
Core Technical Competencies (Software Engineering Focus):
  • Strong Software Foundations: Strong fundamentals on software engineering, system architecture, and scalable production applications (Algorithms, Data Structures, and System Design).
  • Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and python. We are looking for a developer who writes clean, testable, and high-performance code, not just scripts.
  • Data as a Product: Experience building the engines and APIs that power data movement, rather than just building the pipelines themselves.

Cloud & Infrastructure:
  • Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.
  • Deep understanding of CI/CD automation, modern development tools, and frameworks.

Leadership & Soft Skills:
  • Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader.
  • Excellent analytical skills with a proven ability to identify and resolve complex technical problems.
  • Strong written and verbal communication skills, with a philosophy of continuous improvement.

Education:
Bachelor's degree in Computer Science or a related technical field. A higher degree is a plus.
Desired Attributes: Platform Engineering Focus
We are specifically seeking candidates who have a strong background in building and operating platforms, frameworks, and foundational services for data teams. The ideal engineer will have demonstrably experience in:
  • Framework Development: Creating reusable libraries, REST APIs, and services that abstract complexity and accelerate feature development for other data engineers and data scientists.
  • Platform Ownership: Taking end-to-end ownership of core platform components, including performance tuning, cost optimization, security hardening, and reliability improvements.
  • Infrastructure as Code (IaC): Deep familiarity with tools like Terraform or CloudFormation for provisioning and managing cloud-native data infrastructure.
  • Operational Excellence: Designing for operational stability, implementing robust monitoring, alerting, and logging systems, and driving adoption of self-service tooling.
  • Enabling Data Mesh Principles: Experience in building centralized governance, discovery, and quality tooling that enables decentralized data ownership (data domains).
  • Data Engineering Expertise: Experience designing, building, and optimizing modern ETL/ELT pipelines using tools like dbt, Apache Airflow, and cloud-native services.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $185,000.00 - $217,400.00

What WEX Inc. employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom