We are seeking a skilled Data Analyst to migrate data from one Atlassian Jira instance to another. The ideal candidate will ensure data integrity and accuracy during the migration process. This role requires experience with data migration and a strong understanding of the Atlassian Jira platform. The candidate should be able to work independently and efficiently to complete the task within the specified timeframe.

I’m looking to complete Data Engineering work.The work will require 1 freelancer. I anticipate the project will last 1 to 3 months. I have 3 base44 apps that I am looking for the engineer/dev to help complete.

Experienced Dev Ops from start to finish, We are seeking a skilled Python and React Developer Expert for Web Based Trading Application Platform to create a robust and user-friendly application for both web and mobile users. The ideal candidate will have experience in developing and launching apps from start to finish. Knowledge of stocks and options is necessary or trading experience is a MUST. If you do not know how to trade stocks or options, you will be required to take a strategy class (fee paid by the applicant freelancer) with founder owner, to learn how the trading strategy works, in-order to be hired. Deliverables • Ensure existing application functionality and performance as per founder owners requirements • Strategy is proprietary and is confidential for period of 30 years • All coding is live over anydesk each day, all coding sessions are recorded over zoom

AEI Initiatives is developing Core-E, a governance architecture for stability-preserving optimization in consumer systems — letting optimization work without destabilizing the people and systems it affects. Phase I is NSF-funded feasibility research applied to grocery systems. This is a U.S. based, remote position. The Role: Lead the technical execution of Phase I validation work: - Measuring real action-effect parameters against retail data - Analyzing closed-loop optimizer–governor dynamics - Characterizing the regime boundaries where governance nets positive versus where it fails Required Qualifications - Graduate degree (MS/PhD) in operations research, applied mathematics, control theory, statistics, econometrics, or a related quantitative field - Demonstrated experience with time-series modeling, stochastic systems, or parameter estimation from messy real-world data - Ability to reason about feedback loops — whether coupled dynamical systems converge, oscillate, or degrade - Experience with simulation, Monte Carlo validation, or sensitivity analysis - Production-quality, documentable Python -**Above all: intellectual honesty. You’ll run tests that may prove the hypothesis wrong, and we need someone who reports what the data actually says. Nice to Have (Not Required) - Grocery, retail, or supply-chain optimization experience - Familiarity with control-barrier functions, runtime assurance, or AI safety - Background in econometrics or causal inference Time & Terms - Approximately 0.25 FTE (~10 hours/week) - 6-month duration - Contingent on NSF Phase I award (expected notification Q3 2026) - Structurable as W-2 employee, independent contractor, or subaward depending on your situation What Makes You the Right Fit You’re the person who, when shown a model that doesn’t behave as expected, gets *more* curious, not defensive. You understand that “the data says no” is a publishable result. You think in systems, not just in metrics. And you’re willing to work on something genuinely uncertain because the uncertainty is the point. *To apply, contact Valentina by submitting a job proposal.

About Sybal Corp: Sybal Corp is building the world's first governance-focused AI infrastructure platform through its Proof of Governance® (PoG™) platform. We serve defense, government, and highly regulated commercial organizations that require governance intelligence, oversight, and audit readiness. Position Overview: The Engineering Operations & Technical Program Management serves as the bridge between executive leadership and the engineering organization. This role is responsible for engineering accountability, project execution, technical oversight, roadmap delivery, and alignment between business objectives and technical implementation. This position oversees engineering execution, validates technical work, manages project delivery, and ensures developers, DevOps engineers, QA engineers, and AI/ML engineers remain accountable for timelines, quality, and outcomes. Primary Responsibilities: • Lead day-to-day engineering operations and project execution. • Manage engineering schedules, priorities, and sprint planning. • Review engineering deliverables for completeness and quality. • Evaluate technical designs and implementation approaches. • Translate business requirements into technical requirements. • Serve as the primary liaison between founders and engineering teams. • Hold engineers and contractors accountable for commitments and deadlines. • Manage offshore and domestic technical resources. • Coordinate work across Software Engineering, DevOps, QA, and AI/ML teams. • Track project risks, dependencies, and milestones. • Establish engineering KPIs and reporting processes. • Support technical due diligence discussions with investors and partners. Required Qualifications: • 8+ years of software engineering experience. • 3+ years leading engineering teams or technical projects. • Strong understanding of AWS, cloud architecture, APIs, DevOps, and modern software development practices. • Experience managing Agile/Scrum development teams. • Experience with Jira, GitHub, Azure DevOps, or similar tools. • Ability to evaluate code quality, technical designs, and engineering estimates. • Experience managing remote and distributed engineering teams. • Excellent communication skills. Preferred Qualifications • Startup leadership experience. • Experience with AI, AI Dev Automation (Claude, Open AI), Machine Learning, and NLP platforms. • Experience supporting government, defense, or regulated industries. • Experience with FedRAMP, CMMC, SOC 2, or NIST environments. • PMP, Scrum Master, or Agile certifications. What Success Looks Like: • Increased engineering accountability. • Improved visibility into project status and delivery timelines. • Better communication between leadership and engineering teams. • Improved release quality and predictability. • Reduced technical debt and project execution risk. • Scalable engineering processes supporting company growth.

I am looking for an experienced ASR engineer to build a production-ready speech-to-text system for a low-resource language. I already have approximately 3,000 prepared audio segments, totaling about 10 hours of audio, with clean and consistent transcripts ready for immediate use. Data preparation and segmentation are already handled. The initial 10 hours of audio will serve as the first milestone. After that, the engineer will be expected to continue training and improving the model with additional data until the system reaches a target WER of 10% or below. Your responsibility will focus on: Fine-tuning a Whisper-based model for high transcription accuracy Optimizing word error rate (WER) over time Providing inline/embedded start timestamps per phrase Building an efficient inference pipeline for both real-time and batch transcription Structuring evaluation and improvement workflows Preparing the system for deployment and integration into a web platform Providing clear documentation and guidance so I can independently continue training and improving the model over time without ongoing engineer involvement The goal is to reach strong accuracy at launch, with a clear process for continued improvement as more data becomes available. Please describe your experience with Whisper fine-tuning or similar ASR model training in your proposal.

Frontend: React Native (Expo SDK 54), TypeScript Backend: Firebase — Firestore, Cloud Functions (Node, v1), Firebase Auth, Firebase Storage Architecture: Multi-tenant data model (multiple client organizations sharing one Firestore database, isolated by security rules) Auth: Email/password via Firebase Auth, role-based access (general contractor / subcontractor roles) Firebase / React Native SaaS (Contract, with potential for ongoing work)

Help us migrate our AWS assets to a different provider to help augment our capabilities and reduce overall cost. Needs to be done relatively quickly for cost reasons.

We are a growing B2B SaaS company looking for a data scientist to help us understand revenue, pipeline, customer behavior, and growth performance. Our data lives across HubSpot, Salesforce, Stripe, marketing platforms, spreadsheets, and internal databases. We need someone who can clean messy data, find patterns, and turn analysis into clear business decisions. The first project will focus on: Lead source performance Sales funnel and pipeline bottlenecks Customer segmentation Retention and churn signals LTV, CAC, and revenue forecasting Weekly KPIs for leadership You should be strong with SQL, Python, Pandas, data cleaning, statistical analysis, dashboards, and business reporting. Experience with SaaS, RevOps, GTM analytics, marketing analytics, CRM data, or subscription revenue data is a strong plus. We are not looking for someone who only builds charts. We need someone who can connect the data to the business problem and explain what should happen next. To apply, please share one real project where you used data science or analytics to solve a business problem. Include the industry, data sources, methods used, and business result.

In need of a developer to edit a pre-existing database, and be able to deploy the updates to a server with an updated client side installer. We currently need to add some deleted buttons to a tab. Add in filters to a materials list. Fix the user log-ins to were they can change their current password, and or clear the user names from the database entirely. TeamsMeeting, or GoogleMeeting required before hand over. Hourly rate may be required before the full installment of budget is paid, to insure competency of the required job. Hourly rates are negotiable.