Jr. Data Scientist 00021
Westbrook, ME · On-site
... Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in ... math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML ...
Jr. Data Scientist 00021
Westbrook, ME · On-site
... Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in ... math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML ...
Jr. Data Scientist 00021
$45 - $48/hr
... Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in ... math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML ...
Jr. Data Scientist 00021
$45 - $48/hr
... Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in ... math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML ...
Computer Vision Data Scientist
Westbrook, ME · Hybrid
$128K/yr
Collaborate with cross-functional teams including engineers, clinical experts, and product ... Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.
Computer Vision Data Scientist
Westbrook, ME · Hybrid
$128K/yr
Collaborate with cross-functional teams including engineers, clinical experts, and product ... Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.
Computer Vision Data Scientist
Westbrook, ME · On-site
$128K/yr
Collaborate with cross-functional teams including engineers, clinical experts, and product ... Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.
Computer Vision Data Scientist
Westbrook, ME · On-site
$128K/yr
Collaborate with cross-functional teams including engineers, clinical experts, and product ... Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.
Programming (e.g., Python, R, JavaScript, or systems languages like C++) * Systems thinking in ... Familiarity with AI/ML development tools and computational modeling * Ability to efficiently ...
Programming (e.g., Python, R, JavaScript, or systems languages like C++) * Systems thinking in ... Familiarity with AI/ML development tools and computational modeling * Ability to efficiently ...
Python Ml Developer information
See Portland, ME salary details
$13.53 - $20.32
1% of jobs
$20.32 - $27.12
0% of jobs
$27.12 - $33.92
2% of jobs
$33.92 - $40.71
5% of jobs
$40.71 - $47.51
11% of jobs
$49.51 is the 25th percentile. Wages below this are outliers.
$47.51 - $54.31
18% of jobs
The median wage is $57.85 / hr.
$54.31 - $61.11
24% of jobs
$66.30 is the 75th percentile. Wages above this are outliers.
$61.11 - $67.90
18% of jobs
$67.90 - $74.70
13% of jobs
$74.70 - $81.50
5% of jobs
$81.50 - $88.29
3% of jobs
$13
$59
$88
How much do python ml developer jobs pay per hour?
As of Jul 11, 2026, the average hourly pay for python ml developer in Portland, ME is $59.98, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.12 per hour, depending on experience, location, and employer.
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?
| Aspect | Python Ml Developer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; Python, ML certifications | Bachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications |
| Work Environment | Software development teams, AI/ML projects | Research, data analysis, modeling teams |
| Employer & Industry Usage | Tech companies, startups, AI firms | Finance, healthcare, tech, research institutions |
| Common Search & Comparison | Yes | Yes |
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 Portland, ME? For Python Ml Developer jobs in Portland, ME, the most frequently searched job titles are:
What cities near Portland, ME are hiring for Python Ml Developer jobs? Cities near Portland, ME with the most Python Ml Developer job openings:
Other
Medical, Life
Posted 3 days ago
Job description
Job Description
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
What you can expect:
Develop classification and clustering models on tabular data to support hematology analyzer capabilities
Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist
Partner with senior team members to understand requirements, explore data, and validate model performance
Document your work clearly so it can be reviewed, reproduced, and built upon by the team
Deploy your solutions to edge hardware
What you need to succeed:
0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count)
Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy)
Solid foundation in statistics, machine learning, and algorithms
Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results
Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model
A growth mindset and willingness to learn from more senior team members
Ability to communicate analyses and results clearly to your immediate team
Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
What you can expect:
Develop classification and clustering models on tabular data to support hematology analyzer capabilities
Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist
Partner with senior team members to understand requirements, explore data, and validate model performance
Document your work clearly so it can be reviewed, reproduced, and built upon by the team
Deploy your solutions to edge hardware
What you need to succeed:
0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count)
Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy)
Solid foundation in statistics, machine learning, and algorithms
Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results
Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model
A growth mindset and willingness to learn from more senior team members
Ability to communicate analyses and results clearly to your immediate team
Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications
About WEST COAST CONSULTING
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Irvine, CA, US
Year founded
1998