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Junior Ai Machine Learning Python Jobs in Rhode Island

Varsity Tutors

Data Science Tutor

Providence, RI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ...

IGT

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications ... Python * SQL * Amazon S3 * Git * REST APIs * CI/CD pipelines What Makes You Successful * You enjoy ...

Progressive Gaming

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications ... Python * SQL * Amazon S3 * Git * REST APIs * CI/CD pipelines What Makes You Successful * You enjoy ...

Greystone of Lincoln

Junior Accountant

Lincoln, RI · On-site

$50K - $70K/yr

... learning to maintain cost accounting records, support the financial close process, and produce ... Basic knowledge of Python or SQL for data manipulation (a plus for future reporting automation, not ...

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Junior Ai Machine Learning Python information

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 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 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 are popular job titles related to Junior Ai Machine Learning Python jobs in Rhode Island? For Junior Ai Machine Learning Python jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Rhode Island look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Rhode Island are:
What cities in Rhode Island are hiring for Junior Ai Machine Learning Python jobs? Cities in Rhode Island with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

Senior Banking Data Engineer

washingtontrust

Westerly, RI • Hybrid

$95/hr

Other

Re-posted 26 days ago

Job description

Washington Trust is seeking an accomplished and forwardthinking Senior Banking Data Engineer to support and advance the organization’s enterprisewide data and analytics capabilities. As a key member of our Management Information Systems (MIS) function, the Senior Banking Data Engineer will design, build, and modernize scalable data platforms that power decisionmaking across all business lines and corporate functions.

This role serves as a technical leader and trusted partner to stakeholders throughout the enterprise, driving the evolution of our cloudbased data environment, ensuring data quality and governance, and enabling advanced analytics, reporting, and business intelligence solutions. The Senior Banking Data Engineer will play a critical role in shaping Washington Trust’s data architecture strategy, mentoring team members, and delivering innovative solutions that support operational excellence, customer insights, and enterprise performance.

This is a hybrid position with periodic on-site work in our office in Westerly, RI.

Key Responsibilities
  • Serve as the primary architect and builder of Washington Trust’s modern data ecosystem, establishing the foundational patterns, standards, and frameworks for all future data engineering initiatives.
  • Act as the technical authority for data engineering, providing architectural direction and influencing data strategy across technology and business teams.
  • Lead modernization initiatives using Azure Data Services and Microsoft Fabric.
  • Architect, implement, and maintain scalable data models, data lakes, data warehouses, and semantic layers that support enterprise data needs.
  • Design, develop, and optimize endtoend data ingestion, transformation, and integration pipelines spanning multiple business domains.
  • Collaborate with leaders and teams across the organization to understand data needs and translate business requirements into robust technical solutions.
  • Champion a dataproduct mindset, creating reusable, governed, and welldocumented data assets that support analytics, risk, finance, and operations.
  • Develop and deploy high-performing, maintainable code using SQL, TSQL, Python.
  • Implement Continuous Integration / Continuous Deployment pipelines and DevOps best practices to improve efficiency, reliability, and automation across data environments.
  • Champion data quality by implementing standardized validation rules, lineage tracking, and monitoring frameworks.
  • Develop, support, and enhance enterprise data visualization and reporting solutions using Power BI, including dataset creation, semantic modeling, and dashboard optimization.
  • Collaborate with Enterprise Risk & Technology teams to uphold data standards, regulatory expectations and protection protocols.
  • Enforce change management protocols, ensuring deployments, enhancements and modifications follow approval workflows, documentation standards, testing processes and compliance requirements.
  • Mentor analysts, developers, and data users to elevate data literacy and engineering practices enterprisewide.
Education
  • Bachelor’s degree in computer science, data science, information technology, or a related field.
  • Master’s degree or relevant certifications (Azure, Data Engineering, Cloud Architecture) is a plus.
Technology Experience
  • 7+ years of progressive data engineering experience, preferably in banking, financial services, or regulated industries.
  • Deep expertise in Azure data services (ADF, Synapse, ADLS, Azure SQL) and strong familiarity with Microsoft Fabric.
  • Proven experience designing and integrating APIs, Logic Apps, Functions, SaaS systems, and modern cloud data architectures.
  • Advanced proficiency in SQL/TSQL and Python for data engineering, automation, and analytics.
  • Strong understanding of data modeling (dimensional, relational, domaindriven), warehousing concepts, and performance optimization.
  • Experience delivering enterprise BI solutions using Power BI, including models, datasets, and governance layers.
  • Background with DevOps practices including automated builds, testing, and deployments.
Qualifications
  • Demonstrated ability to translate complex enterprise data needs into scalable architecture and efficient engineering solutions.
  • Strong knowledge of data governance, metadata management, data lineage, and data quality frameworks.
  • Familiarity with AI/Machine Learning concepts and cloudenabled analytics tools (Azure ML, Fabric Data Science experiences).
  • Exceptional problemsolving, analytical, and criticalthinking abilities.
  • Effective communicator capable of engaging with executives, technical teams, and diverse business stakeholders.
  • Collaborative leader with an ownership mindset and a passion for innovation and continuous improvement.
  • Comfortable operating in a fastpaced, evolving environment where enterprise data capabilities are growing rapidly.

Compensation: A goodfaith, reasonable estimate of the base salary range for this role is $165,000 to $195,000 per year and the actual offer will depend on factors such as experience, skills, training, certifications, and education.

This base salary reflects one component of our competitive compensation package. This position may be eligible for an annual bonus and includes a comprehensive benefits package.

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