ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in Greenville, RI

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Hands-on experience with Python and common AI/ML tooling * Strong understanding of APIs ...

Waters Corporation

AI Architect

Milford, MA

$69 - $91/hr

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Hands-on experience with Python and common AI/ML tooling * Strong understanding of APIs ...

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Hands-on experience with Python and common AI/ML tooling * Strong understanding of APIs ...

Varsity Tutors

Machine Learning Tutor

Providence, RI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Python Tutor

Providence, RI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

next page

Showing results 1-20

All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Greenville, RI

Junior Ai Machine Learning Python information

See Greenville, RI salary details

$45.1K

$91.8K

$137.9K

How much do junior ai machine learning python jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior ai machine learning python in Greenville, RI is $91,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $92,700.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Greenville, RI are hiring for Junior Ai Machine Learning Python jobs?

Cities near Greenville, RI with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Greenville, RI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $91,785 per year, or $44.1 per hour.

AI Architect

Waters Corporation

Milford, MA • On-site

Other

Posted 14 days ago

Job description

Overview
In this role, you will work in a fast-paced, agile environment alongside a diverse team with a passion for technology, transformation, and delivering results.
As part of the Waters AI Center of Excellence (CoE), you will help define and govern our enterprise AI architecture, creating the standards, patterns, and guardrails needed to scale AI solutions across the business. This includes generative AI, machine learning, automation, and future agent-based capabilities.
This is a senior, hands-on role. You'll work closely with teams across IT, Data, Security, and the business to shape AI strategy, review solution designs, establish best practices, and ensure AI solutions are secure, scalable, and aligned to business objectives.
We understand that very few people will have deep expertise across every area of enterprise AI. We're looking for someone with a strong architecture background and proven experience delivering AI solutions in a business environment. For the right person, we're prepared to invest in development and provide opportunities to build expertise in newer areas of AI as our capabilities continue to grow.
Here at Waters, we look for people who enjoy solving complex problems, can work effectively across teams, and stay focused on delivering outcomes.
Responsibilities
  • Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities
  • Develop architectural standards, patterns, and reference architectures for AI solutions.
  • Work alongside engineering, data, security, and business teams to design scalable and secure AI solutions
  • Establish and evolve AI governance processes, ensuring alignment with enterprise standards and long-term technology strategy
  • Review AI solution designs and provide architectural guidance throughout delivery.
  • Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness
  • Lead proof-of-concepts and technical evaluations of new AI technologies and platforms
  • Support the development of operational approaches for deploying, monitoring, and maintaining AI solutions in production
  • Partner with security and governance teams to ensure AI solutions meet regulatory, compliance, and data protection requirements
  • Promote responsible and secure use of AI across the organization
  • Provide technical leadership and mentoring within the AI CoE and wider technology community
  • Stay informed on AI developments and assess their relevance to Waters

Qualifications
  • Bachelor's or Master's degree in a relevant field or equivalent practical experience.
  • 10 years + experience in enterprise, solution, cloud, data, or application architecture roles
  • Proven experience designing, implementing, or supporting AI, machine learning, or generative AI solutions within an enterprise environment
  • Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns
  • Experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Understanding of the lifecycle and operational management of AI solutions in production environments
  • Hands-on experience with Python and common AI/ML tooling
  • Strong understanding of APIs, distributed systems, microservices, and modern software architecture principles
  • Experience working with data platforms, data pipelines, and enterprise data architectures
  • Exposure to agentic AI, AI orchestration frameworks, intelligent automation, or related technologies would be beneficial
  • Understanding of AI governance, security, risk, and Responsible AI principles.
  • Strong communication skills and the ability to engage effectively with both technical and non-technical stakeholders
  • Experience influencing technical direction, facilitating workshops, and mentoring others
Interested, but don't tick every box?
Please don't rule yourself out. We're looking for strong architects with practical AI experience who can help us build and scale AI capabilities across Waters. While experience in AI is important, we don't expect candidates to have worked with every technology, framework, or architectural approach listed above. If you've successfully delivered AI, machine learning, data science, or generative AI solutions and have a solid architecture background, we'd encourage you to apply. We'll support the successful candidate with ongoing development as our AI capabilities continue to evolve
Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.
Key Words
Enterprise Architect; Solution Architect; Agentic AI; GenAI; RAG; Architecture Governance; Data Architecture; AI Platform

Apply