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$60 - $120/hourpayPythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS Developmentmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

We’re looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You’ll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and s

We are currently hiring Python Developers. As a Python Developer, you will be responsible for developing and maintaining Python-based applications. At least 5 years of relevant experience as a full stack developer.

Maintain secure credential handling, logging, and audit trails in line with HITRUST/HIPAA compliance. We are seeking a Python Automation Developer to build and maintain intelligent automation solutions focused on Revenue Cycle Management (RCM) in the healthcare industry. Design, implement, and maint

Aretum is seeking a skilled and motivated Senior Python Developer. As a Senior Python Developer, you will assist in leading the integration of a custom application with other client based systems. Mentor peers and junior developers in Python design.

Python Developer – APIs & Integrations.

Java development background who transitioned to Python/AWS. Java into Python and AWS cloud development. Python | Java | AWS | Lambda | Step Functions | Terraform | IaC | Kafka | API Development | CloudWatch | System Design | Cloud Technologies.

Job Description Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough. #ZR

We are seeking a skilled Python Backend Developer to join our team and contribute to the development and maintenance of high-quality backend applications. Job Title: Python Backend Developer. The ideal candidate will have strong experience in Python development, particularly in building RESTful APIs

You are an experienced web developer.

Job Description 100% Remote. 7.5 hours per day must work in the CST Time Zone 8:00 AM-4:30 PM CST Our direct client has an opening for a UiPath Developer 65886 This client is in Nashville, Tennessee, this contract is 5 months, with the option of extension. Please send us your rate and resume if you are interested. Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath’s automation platform. Key Duties and Responsibilities Design, develop, test, and implement UiPath automation solutions for state government business processes. Build and maintain automations including attended, unattended, and scheduled bots for repetitive, rules-based workflows. Analyze business requirements and translate them into scalable automation solutions using UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies. Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation. Create reusable automation components, libraries, templates to support enterprise automation initiatives. Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services. Implement secure automation practices aligned with state cybersecurity, privacy, and compliance standards. Perform testing, debugging, troubleshooting, and ongoing maintenance of automation solutions. Monitor bot performance, resolve production issues, and optimize automation reliability and efficiency. Develop technical documentation and workflow diagrams. Support citizen service modernization initiatives through intelligent automation technologies. Agentic AI Responsibilities Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities. Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls. Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows. Build human-in-the-loop workflows that combine AI agents with employee oversight and approval processes. Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications. Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability, bias mitigation, security, and compliance with government policies. Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery. Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies. Preferred Technical Skills UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding REFramework and enterprise RPA design patterns API integrations, REST/SOAP services, SQL databases OCR technologies and intelligent document processing Generative AI, LLM integration, prompt engineering, and AI orchestration Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript Cloud platforms and enterprise authentication/security concepts Agile/Scrum development methodologies

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Required skills for Java/software programmers:Bachelors degree or Masters degree in Computer Science, Computer Engineerin

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. For data science/machine learning positions required skills include a bachelors degree o

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Pay and Benefits: • Competitive compensation, including base pay and annual incentive, • Comprehensive health and life insurance and well-being benefits, based on location, • Pension / Retirement benefits, • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being., • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact you will have in this role: Model Risk Management, MRM is responsible for overseeing enterprise-wide model risk management and supporting front-line units in managing model risk. MRM provides oversight of day-to-day model risk management activities to identify, measure, monitor, and manage risk related to the design, development, and implementation and use of models. Per the Federal Reserve Supervision and Regulator guidance (SR 11-7), Model Validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Effective validation helps to ensure that models are sound, identifying potential limitations and assumptions and assessing their possible impact. All model components, inputs, processing, outputs, and reports, are subject to validation and applies equally to models developed in-house and to those purchased from or developed by vendors or consultants. The Model Validation team is also responsible for evaluating the Model Performance Monitoring Plan for each model, and continuously assessing the results to ensure that models are performing as expected. Your Primary Responsibilities: • Perform hands-on validations and reviews, and write quality model validation reports., • Collaborate with the Project Management Office (PMO) to maintain a viable model validation schedule, coordinate and oversee model validation, and review performed by the model validators to ensure timeliness, quality, and effective challenge., • Work with the model owner, model developer, and model user on all aspects of model validation and issue resolution., • Collaborate with the Operations & Management Assurance (OM&A) team to ensure the highest quality of validation, annual review, and Model Performance Monitoring (MPM) reports., • Prepare model validation and review presentations to the Model Risk Governance Council (MRGC) meetings for model approval, model issue tracking, and resolution., • Present model validation, review results, and finding resolutions to the Model Risk Governance Council (MRGC)., • Challenge model performance and methodologies at Model Risk Governance Council (MRGC) review meeting., • Knowledge of the financial market and products. Experience in model validation and or model development. Familiarity with regulatory requirements on Model Risk Management(SR 11-7 and CCAS rules)., • Proficiency in programming languages (For example, SQL,Python, R, SAS, C/C++)., • Aligns risk and control processes into day-to-day responsibilities to monitor and mitigate risk; escalates appropriately NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications: • Minimum of 6 years of related experience, • Bachelor's degree preferred or equivalent experience Talents Needed for Success: • Fosters a culture where honesty and transparency are expected., • Stays current on changes in his/her own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date., • Invests effort to individually coach others., • Builds collaborative teams across the organization., • Communicates openly keeping everyone across the organization informed. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Risk Management Model Validator Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Pay and Benefits: • Competitive compensation, including base pay and annual incentive, • Comprehensive health and life insurance and well-being benefits, based on location, • Pension / Retirement benefits, • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being., • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact You will have in this role: Model Risk Management, MRM is responsible for overseeing enterprise-wide model risk management and supporting front-line units in managing model risk. MRM provides oversight of day-to-day model risk management activities to identify, measure, monitor, and manage risk related to the design, development, and implementation and use of models. Per the Federal Reserve Supervision and Regulator guidance (SR 11-7), Model Validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Effective validation helps to ensure that models are sound, identifying potential limitations and assumptions and assessing their possible impact. All model components, inputs, processing, outputs, and reports, are subject to validation and applies equally to models developed in-house and to those purchased from or developed by vendors or consultants. The Model Validation team is also responsible for evaluating the Model Performance Monitoring Plan for each model, and continuously assessing the results to ensure that models are performing as expected. Your Primary Responsibilities: • Perform hands-on validations and reviews, write quality model validation reports, and provide model approvals., • Collaborate with the Project Management Office (PMO) to maintain a viable model validation schedule, coordinate and oversee model validation, and review performed by the model validators to ensure timeliness, quality, and effective challenge., • Work with the model owner, model developer, and model user on all aspects of model validation and issue resolution., • Prepare model validation and review presentations to the Model Risk Governance Council (MRGC) meetings for model approval, model issue tracking and resolution. Present results and finding resolutions to the Model Risk Governance Council (MRGC)., • Collaborate with the Operations & Management Assurance (OM&A) team to ensure the highest quality of validation, annual review, and Model Performance Monitoring (MPM) reports., • Interface with the auditors and regulators on all aspects of model validation., • Challenge the model performance and methodologies at monthly MRGC review meeting., • Perform ad hoc analysis to identify model limitations and performance issues. Recommend action plan for remediation., • Review Model Performance Monitoring (MPM) metrics and plans according to firmwide Model Performance Monitoring (MPM) standards and opine on the appropriateness of the metrics and plans., • Present Model Performance Monitoring (MPM) reviews, oversight results, and finding resolutions to the Model Risk Governance Council (MRGC)., • Challenge Model Performance Monitoring (MPM) reports at monthly Model Risk Governance Council (MRGC) review meeting., • Review low-tier models and non-models and enforce established controls., • Knowledge of the financial market and products. Experience in model validation and or model development. Familiarity with regulatory requirements on Model Risk Management(SR 11-7 and CCAS rules)., • Proficiency in programming languages (For example, SQL,Python, R, SAS, C/C++)., • Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior. NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications: • Minimum of 8 years of relevant professional experience., • Master's or Ph.D. in Finance, or a related STEM discipline Talents Needed for Success: • Serves as a trusted coach or mentor within the organization., • Communicates openly keeping everyone across the organization informed. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Help shape the next generation of insurance intelligence. Verisk's Actuarial Transformation team is seeking an Actuarial Analyst II to bring strong pricing, data, and actuarial fundamentals to the development of AI-powered solutions for the property and casualty insurance industry. In this role, you'll work at the intersection of actuarial science, data, and emerging technology, helping transform Verisk's trusted loss costs, data, and insights into intuitive AI-enabled experiences. From natural language interfaces to agentic workflows, you'll contribute as these capabilities evolve from early concepts into practical tools that help insurers work smarter and make more informed decisions. You'll gain hands-on exposure across the product lifecycle, collaborate with actuarial and technical partners, and build valuable technical expertise while continuing your progress toward ACAS. The Opportunity: Verisk's ISO loss costs and robust statistical data have empowered the P&C industry for decades. New technology promises to help insurers operationalize this data in new ways. For example, natural language chat can augment legacy reports and dashboards. Agentic workflows can help solve repetitive, manual processes. And users can take advantage of semi-structured data across multiple data sources more easily than ever. You'll play a direct role in building the pieces that make this possible for our client insurers. Achieving this reality requires thoroughness, care, and good actuarial fundamentals that the insurance industry demands. We've already proven this is possible: we recently launched an MCP connector exposing our underwriting intelligence. You'll join at a stage where the roadmap is being actively built out, giving you visibility into how a new product area takes shape from early proof points to steady delivery of value. The Team: You will report directly to the initiative lead on our Actuarial Transformation team, which is a team of actuaries focused on the user experience for our products. This position is hybrid from the Jersey City, NJ office or remote from elsewhere with an expectation of working Eastern Time Zone hours. You'll work closely with the operational teams who produce our data and the developer teams who help ship it through customer-facing infrastructure, giving you exposure across the full lifecycle of how our actuarial data reaches customers. • Support the AI & data transformation roadmap for ISO loss costs and related data, helping scope tasks and track progress against deliverables., • Help design and build actuarial workflows and data logic for AI-facing and customer-facing tools. You'll apply your growing actuarial knowledge to help ensure the "intelligence" behind our AI tools is accurate and useful., • Assist in testing and validating new components and automation, helping identify where solutions add real value versus where they need refinement., • Collaborate with operational and technical teams to understand how our data assets are built and how they connect to customer-facing infrastructure., • Take ownership of well-defined pieces of larger projects, with support and mentorship from your manager as you build toward greater independence. As the world of AI is new and fast-moving, you are not expected to be a technology expert. You are expected to bring strong actuarial fundamentals and a genuine curiosity about how those fundamentals translate into AI-driven tools. You'll build both skill sets simultaneously in this role. • Bachelor's degree in actuarial science, mathematics, statistics, or a related major., • 1-2 years of P&C actuarial experience, ideally with exposure to pricing or underwriting functions., • Actively pursuing ACAS, with at least 3 exams., • Familiarity with actuarial software and tools (e.g., R and/or Python, SQL, Excel)., • Strong learning agility and willingness to work independently on well-scoped tasks while knowing when to ask for guidance., • Familiarity with ISO loss costs and/or ISO data products is a plus., • Interest or experience in generative AI tools is a plus; candidates should be able to speak to how they've used AI on or off the job., • Comfort working with ambiguity and non-standardized processes; eagerness to learn from complex, diverse datasets., • Good interpersonal, oral, and written communication skills, with the ability to explain technical concepts clearly to teammates. We value people who can contribute to a culture of actuarial excellence and an appreciation for our industry. For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.