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Machine Learning Contract Jobs in Providence, RI

Varsity Tutors

Statics and Dynamics Tutor

Providence, RI · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Varsity Tutors

Statics Tutor

Providence, RI · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Encore Fire Protection

AIA Billing Specialist

Pawtucket, RI

$18.75 - $25.25/hr

We are looking for a Contract Billing Specialist who wants to be right at the center of that engine ... That's why we've built a culture that encourages experimentation, learning, and improving together.

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All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Providence, RI

Machine Learning Contract information

See Providence, RI salary details

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How much do machine learning contract jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for machine learning contract in Providence, RI is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $25.72 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Providence, RI? The most popular types of Machine Learning jobs in Providence, RI are:
What are popular job titles related to Machine Learning Contract jobs in Providence, RI? For Machine Learning Contract jobs in Providence, RI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Providence, RI look for? The top searched job categories for Machine Learning Contract jobs in Providence, RI are:
Machine Learning Contract jobs near you

Principal Data Engineer - FLINK

Citizens Bank

Johnston, RI • On-site

Full-time

Re-posted 13 days ago

Job description


Principal Data Engineer - Real-Time Streaming (Flink)
Role Summary
As a Principal Data Engineer (Real-Time Streaming - Flink), you will be chartered with designing, developing, and operating real-time data systems that drive critical business outcomes. You will lead a team of data engineers and partner with stakeholders to build scalable, event-driven streaming architectures that enable low-latency data access across Citizens business operations.
In addition to core data engineering responsibilities, this role emphasizes Flink-based streaming platforms, event-driven data flow, and highly resilient distributed systems, ensuring that data is continuously processed, governed, and made actionable in near real time.
Specialized Responsibilities
  • Serve as a key contributor to the development of real-time data solutions, partnering with stakeholders to define streaming use cases, SLAs, and latency expectations.
  • Design and implement event-driven streaming architectures using Flink and related ecosystem technologies.
  • Engineer and optimize low-latency, high-throughput data pipelines for operational and analytical workloads.
  • Develop and maintain stateful stream processing applications, including windowing, joins, aggregations, and complex event processing.
  • Continuously assess data flow across systems, identifying latency bottlenecks, failure points, and data integrity risks, with a focus on real-time processing gaps.
  • Implement observability, monitoring, and alerting for streaming systems to ensure availability, performance, and SLA adherence.
  • Ensure operational resiliency and stability, including checkpointing, fault tolerance, exactly-once semantics, and recovery strategies in Flink pipelines.
  • Lead the development of streaming data models and schemas aligned to business outcomes and event contracts.
  • Govern and evolve event schemas and contracts to support enterprise-wide interoperability and data consistency.
  • Guide engineering teams on best practices for distributed streaming systems, including back-pressure management, scaling, and partitioning strategies.
  • Partner with architecture and platform teams to define standards for real-time data platforms, security, and regulatory compliance within a banking environment.
  • Mentor engineers and drive adoption of streaming-first design patterns within Agile delivery teams.

Preferred Technical Expertise
  • Advanced expertise in Flink
  • Strong experience with event streaming platforms
  • Deep understanding of distributed systems design, including fault tolerance, scaling, and high availability
  • Experience building stateful stream processing pipelines with windowing, joins, and event-time processing
  • Proficiency in low-latency pipeline design and performance optimization
  • Experience with cloud-native streaming architectures
  • Strong programming skills in Java, Scala, and/or Python with streaming frameworks
  • Familiarity with schema management
  • Experience integrating streaming data with downstream systems (data lakes, data warehouses, APIs, analytics platforms)
  • Knowledge of real-time analytics and monitoring tools
  • Understanding of data governance, lineage, and compliance in real-time data environments

Business Outcomes and Impact
  • Enable real-time decision-making across banking operations
  • Reduce data latency from hours to seconds/minutes, improving responsiveness of business processes
  • Improve data reliability and trust through resilient, fault-tolerant streaming pipelines
  • Support digital and event-driven business models, including real-time customer experiences
  • Increase operational efficiency by unifying batch and streaming data architectures
  • Strengthen regulatory and risk capabilities through timely and accurate data availability
  • Drive enterprise scalability, enabling growth in transaction volumes and data complexity

Preferred Qualifications
  • 8+ years of data engineering experience with demonstrated leadership in streaming data platforms
  • Hands-on experience implementing Flink in production environments
  • Experience in financial services or banking, with understanding of real-time data use cases such as payments, fraud, or trading
  • Experience managing or mentoring engineering teams in Agile delivery environments
  • Familiarity with machine learning integration in streaming pipelines (real-time scoring/inference)
  • Experience with BI and analytics tools to consume streaming outputs
  • Bachelor's degree required; Master's preferred in Computer Science, Engineering, or related discipline
  • Certifications in Big Data, AWS, Streaming Technologies, or Agile methodologies preferred

Modernization and Architecture Expectations
  • Champion shift from batch-centric architectures to event-driven, streaming-first platforms
  • Define and implement enterprise streaming architecture patterns
  • Establish standards for data contracts, schema evolution, and event governance
  • Build scalable, cloud-native streaming platforms aligned to enterprise architecture strategy
  • Integrate streaming with AI/ML platforms to enable real-time inference and intelligent automation
  • Drive platform reliability and engineering maturity, including automated testing, CI/CD, and infrastructure-as-code for streaming pipelines
  • Promote reusability and modular design in streaming components to accelerate delivery across teams
  • Ensure all solutions meet security, compliance, and risk requirements specific to financial institutions

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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