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Weekend Machine Learning Jobs in Maine (NOW HIRING)

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

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 ...

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 ...

Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data Extraction, Transformation, and Loading: Preferred skills include expertise in writing complex SQL ...

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial Crime, Compliance, Audit, Risk, or ...

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial Crime, Compliance, Audit, Risk, or ...

... Machine learning, Data, Sql, Spark, Data analysis, Predictive modelling, Predictive analytics, Statistics Top Skills Details Python,Data science,Machine learning,Data,Sql,Spark Additional Skills ...

... Machine learning, Data, Sql, Spark, Data analysis, Predictive modelling, Predictive analytics, Statistics Top Skills Details Python,Data science,Machine learning,Data,Sql,Spark Additional Skills ...

Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of software architecture, API design, and scalable systems * Experience with CI/CD, deployment automation ...

Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of software architecture, API design, and scalable systems * Experience with CI/CD, deployment automation ...

New

Senior Software Engineer

South Portland, ME · On-site

$125K - $165K/yr

Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of software architecture, API design, and scalable systems * Experience with CI/CD, deployment automation ...

Senior Software Engineer

South Portland, ME · On-site

$125K - $165K/yr

Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of software architecture, API design, and scalable systems * Experience with CI/CD, deployment automation ...

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Weekend Machine Learning information

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Jr. Data Scientist 00021

Westbrook, ME • On-site

West Coast Consulting LLC
IT Services • 51 - 200 employees

Other

Medical, Life

Re-posted 18 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