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Machine Learning Project Manager Jobs in Newcastle, ME

Asset management * Writing technical reports, memos, communications * Working on pilot studies ... Committed to continual learning and ongoing professional development * Possessing excellent ...

Project Support

Augusta, ME · On-site

$25 - $32/hr

Ability to navigate databases and client management programs to process and understand data ... Innovation & Learning: We encourage continuous learning and invest in your development through ...

Ability to navigate databases and client management programs to process and understand data ... Innovation & Learning: We encourage continuous learning and invest in your development through ...

... machine learning-enabled business solutions. * Partner directly with technology and business ... Project Management * Team player The statements contained herein reflect general details as ...

... machine learning-enabled business solutions. * Partner directly with technology and business ... Project Management * Team player The statements contained herein reflect general details as ...

Water Project Engineer

Topsham, ME · On-site

$78K - $125K/yr

Master planning, asset management * Writing technical reports, memos, communications * Working on ... Continual learning and ongoing professional development. * Excellent personal organization and time ...

Water Project Engineer

Topsham, ME · Hybrid

$78K - $125K/yr

Master planning, asset management * Writing technical reports, memos, communications * Working on ... Continual learning and ongoing professional development. * Excellent personal organization and time ...

Personal organization and time management skills * Ability to work and thrive in a team environment ... Committed to continual learning * Effective client relationship skills * Excellent attention to ...

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Machine Learning Project Manager information

See Newcastle, ME salary details

$42.7K

$92.6K

$148.2K

How much do machine learning project manager jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning project manager in Newcastle, ME is $92,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $108,400.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning Project Managers will continue to be essential as they oversee AI development, coordinate teams, and ensure project goals are met. Roles requiring complex problem-solving, creativity, and human judgment—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs benefit from interpersonal skills, critical thinking, and adaptability that AI cannot easily replicate.

Will AI replace PMP?

AI is unlikely to fully replace Project Management Professionals (PMP) as the role requires leadership, strategic thinking, and stakeholder communication that AI cannot replicate. Instead, AI tools can support PMPs by automating routine tasks, data analysis, and scheduling, allowing them to focus on complex decision-making and team management. Certification and experience remain essential for effective project management in an AI-enhanced environment.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large organizations or tech companies. These positions usually require advanced skills in AI, machine learning, and leadership, along with significant experience and sometimes specialized certifications. Compensation at this level reflects the complexity and strategic importance of AI initiatives within the company.

What is the difference between Machine Learning Project Manager vs Data Scientist?

AspectMachine Learning Project ManagerData Scientist
Required CredentialsBachelor's or Master's in Business, Computer Science, or related; PMP or Agile certificationsDegree in Computer Science, Statistics, or related; often a Master's or PhD
Work EnvironmentProject teams, cross-functional collaboration, client interactionsResearch, data analysis, model development in labs or offices
Industry UsageTech companies, finance, healthcare, where managing ML projects is keyData-driven roles across industries, focusing on model building and analysis

The main difference is that a Machine Learning Project Manager oversees ML projects, coordinating teams and ensuring timely delivery, while a Data Scientist focuses on developing models and analyzing data. Both roles require technical knowledge, but their core responsibilities differ significantly.

What is the salary of AI ML project manager?

The salary of a Machine Learning Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and benefits.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Auburn, ME • Remote

Other

Posted 22 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.