Ai/ml Engineer
REMOTE
300 - 400
We are seeking a skilled Ai/ml Engineer to join our team for the project titled AI/ML Engineer (LLM, RAG, Python) - Fulltime, WW. This role involves spearheading the development of a large-scale AI/ML platform that emphasizes intelligent automation, predictive analytics, natural language processing (NLP), and generative AI capabilities. The ideal candidate will have a solid background in data engineering, model development, deployment, MLOps implementation, and system optimization, playing a pivotal role in delivering a scalable, secure, and production-ready solution. Responsibilities
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API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
Ai/ml Engineer
REMOTE
300 - 400
We are seeking a highly skilled Freelance Ai/ml Engineer to contribute to our project titled "AI/ML Engineer (LLM, RAG, Python) - Fulltime, Based-only-US" in the IT industry. This role involves developing a large-scale AI/ML platform that focuses on intelligent automation, predictive analytics, natural language processing (NLP), and generative AI capabilities. You will engage in data engineering, model development, deployment, MLOps implementation, and system optimization while collaborating with AI researchers, data engineers, software developers, and business teams to deliver a scalable, secure, and production-ready solution. Responsibilities - Design and implement robust AI/ML models that enhance intelligent automation functionalities and predictive analytics. - Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into existing business processes. - Conduct thorough testing and validation of models to ensure high performance and reliability in production environments. - Develop and maintain documentation for AI/ML processes, standards, and best practices to facilitate knowledge sharing. - Stay updated with the latest advancements in AI/ML technologies and methodologies to continuously improve project outcomes. Ways of Working - Utilize agile methodologies to manage project timelines and deliverables effectively. - Foster a culture of open communication and collaboration to enhance team performance and innovation. - Implement asynchronous work practices to accommodate diverse team schedules and maximize productivity. Collaboration & Communication - Regularly engage with stakeholders to align project goals and expectations. - Provide updates on project progress, challenges, and milestones to ensure transparency and accountability. - Participate in code reviews and knowledge-sharing sessions to promote continuous learning within the team. Growth Signals - Opportunities for professional development through exposure to cutting-edge AI/ML technologies and practices. - Potential for growth into senior technical roles or leadership positions based on performance and contributions to project success. - Participation in industry conferences and workshops to enhance skills and expand professional networks. Must-Haves
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API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
API Development
AWS
Advanced Machine Learning
Cloud Services
Corporate Strategy
Cross-functional Collaboration
Data Analysis
Data Modeling
Data Preprocessing
Deep Learning
Feature Engineering
Industry Trends
JIRA
Leadership
Machine Learning Basics
Mentoring
Model Deployment
Model Evaluation
Model Optimization
Organizational Development
P&L Management
Python
SQL
Scikit-learn
Strategic Planning
TensorFlow
Thought Leadership
Vision Setting
Azure
Business Acumen
Change Management
Data Governance
Data Visualization
Docker
Excel
Executive Presence
Financial Acumen
Flask
GCP
Git
Innovation Management
Keras
NumPy
Pandas
Stakeholder Management
Tableau
Java Developer
REMOTE
30 - 90
Java Developer - Drive Innovation & Impact Take ownership of meaningful projects while collaborating with a talented team of engineers. Perfect for developers ready to level up their career and make their mark in tech. Position Details • Experience Range: 0 to 2 years • Engagement Type: Freelance • Work Mode: Remote • Openings: 23 positions available. Key Responsibilities - Own end-to-end development of features from conception to deployment, ensuring high-quality code and timely delivery. - Collaborate with product managers and designers to translate requirements into technical solutions that meet business needs. - Write scalable, maintainable code and conduct thorough code reviews to uphold coding standards. - Mentor junior developers and contribute to team knowledge sharing, fostering a collaborative environment. - Participate in architectural discussions and propose technical improvements to enhance system performance. - Debug complex issues and optimize application performance, ensuring a seamless user experience. - Stay current with industry trends and evaluate new technologies for adoption in projects. Technical Requirements • Education: Bachelor's degree in Computer Science or Engineering. • Must-have Skills: Java, Spring Boot, Microservices, REST APIs. • Good to have Skills: Exposure to AWS/Azure/GCP, AI-driven project experience, distributed systems background. • Development Experience: Solid understanding of the software development lifecycle, testing methodologies, and CI/CD practices. • System Design: Basic knowledge of scalable system architecture and database design. • Collaboration: Experience working in Agile/Scrum environments. • Independence: Ability to work autonomously and manage project timelines effectively. What We Offer • Ownership of impactful projects with millions of users. • Collaborative environment with opportunities to influence technical decisions. • Professional development budget for courses, conferences, and certifications. • Modern tech stack and tools that engineers actually enjoy using. Must-Haves - Java, Spring Boot, Microservices Engagement & Compensation • Employment Type: Freelance • Work Mode: Remote • Openings: 23 positions available. • Experience: 0 to 2 years • Hourly Rate: $30.0-$90.0 per hour Additional Comments Contractor role (Remote). Train next-gen AI systems using Java expertise. Responsibilities: build scalable backend systems, design microservices, code reviews, and optimize performance. Required: Java, Spring Boot, Microservices, REST APIs. Preferred: AWS/Azure/GCP exposure, AI-driven project experience, distributed systems background.
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Java
Spring Boot
Microservices
Java
Spring Boot
Microservices
Forward Deployed Engineer
REMOTE
75 - 150
As a Forward Deployed Engineer at the forefront of the IT industry, you will play a pivotal role in the Foxtrot project. This position focuses on implementing Foundry & AIP solutions, driving data integration, and enhancing platform governance. You will collaborate closely with clients, providing technical consulting and building robust systems that meet their needs. Principal Responsibilities
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Docker Compose
Git
GitHub
Integration Testing
JIRA
JavaScript Frameworks
Postman
Python Scripting
Requirements Gathering
SQL
Team Collaboration
Basic Cloud Concepts
Data Modeling
GitHub
Palantir Foundry
Palantir AIP
Python
TypeScript
PySpark
Data Engineering
Ontology Design
OSDK
Cloud Computing
Advanced SQL
Agile Methodology
Basic API Integration
Basic CI/CD
Basic Cloud Concepts
Basic Docker
Basic JavaScript
Basic Python
Data Modeling
Advanced Cloud Services
Advanced DevOps Practices
Advanced Docker
Advanced Python
Advanced SQL
Agile Methodology
Architecting Enterprise Solutions
Architecting Solutions
Basic API Integration
Basic CI/CD
Basic Cloud Concepts
Basic Docker
Basic JavaScript
Basic Python
Business Strategy Alignment
Cloud Deployment Strategies
Communications Skills
Complex System Integration
Cross-Functional Collaboration
Data Modeling
DevOps Principles
Docker Compose
Driving Innovation
Flask or Django
Full Stack Development
Git
GitHub
Industry Standards Compliance
Integration Testing
JIRA
JavaScript Frameworks
Large-Scale System Design
Mentoring Junior Engineers
Organizational Impact
Performance Optimization
Postman
Python Scripting
React.js
Requirements Gathering
Resource Allocation
SQL
Setting Standards
Stakeholder Management
Strategic Planning
Strategic Roadmap Development
Team Building
Team Collaboration
Team Leadership
Technical Documentation
Technical Leadership
Event-driven Architecture
State-machine Orchestration
Compute Modules
Marketplace Deployments
Palantir Functions & Actions
Technical Documentation
Stakeholder Communication
Basic AWS Services
Basic CSS
Basic HTML
Basic React.js
Business Process Mapping
Confluence
Data Analysis
Excel
Figma
Flask
Kubernetes Basics
Microservices Architecture
Power BI
Tableau
Tableau Advanced Functions
User Experience (UX) Principles
APIs Design
Advanced CI/CD
Advanced Change Management
Advanced Cloud Architectures
Advanced Data Visualization
Advanced Risk Management
Advanced Security Practices
Agile Project Management
Ansible
Basic AWS Services
Basic CSS
Basic HTML
Basic React.js
Board Communication
Business Process Mapping
Change Management
Cloud Cost Management
Confluence
Custom API Development
Data Analysis
Data Warehousing Concepts
Emerging Technology Trends
Excel
Figma
Flask
Global Team Management
Kubernetes Basics
Microservices Architecture
Microservices Optimization
Organizational Change Leadership
Organizational Design
P&L Management
Power BI
System Design
Tableau
Tableau Advanced Functions
Terraform
Thought Leadership
User Experience (UX) Principles
Vendor Management
Docker Compose
Git
GitHub
Integration Testing
JIRA
JavaScript Frameworks
Postman
Python Scripting
Requirements Gathering
SQL
Team Collaboration
Basic Cloud Concepts
Data Modeling
GitHub
Palantir Foundry
Palantir AIP
Python
TypeScript
PySpark
Data Engineering
Ontology Design
OSDK
Cloud Computing
Advanced SQL
Agile Methodology
Basic API Integration
Basic CI/CD
Basic Cloud Concepts
Basic Docker
Basic JavaScript
Basic Python
Data Modeling
Advanced Cloud Services
Advanced DevOps Practices
Advanced Docker
Advanced Python
Advanced SQL
Agile Methodology
Architecting Enterprise Solutions
Architecting Solutions
Basic API Integration
Basic CI/CD
Basic Cloud Concepts
Basic Docker
Basic JavaScript
Basic Python
Business Strategy Alignment
Cloud Deployment Strategies
Communications Skills
Complex System Integration
Cross-Functional Collaboration
Data Modeling
DevOps Principles
Docker Compose
Driving Innovation
Flask or Django
Full Stack Development
Git
GitHub
Industry Standards Compliance
Integration Testing
JIRA
JavaScript Frameworks
Large-Scale System Design
Mentoring Junior Engineers
Organizational Impact
Performance Optimization
Postman
Python Scripting
React.js
Requirements Gathering
Resource Allocation
SQL
Setting Standards
Stakeholder Management
Strategic Planning
Strategic Roadmap Development
Team Building
Team Collaboration
Team Leadership
Technical Documentation
Technical Leadership
Event-driven Architecture
State-machine Orchestration
Compute Modules
Marketplace Deployments
Palantir Functions & Actions
Technical Documentation
Stakeholder Communication
Basic AWS Services
Basic CSS
Basic HTML
Basic React.js
Business Process Mapping
Confluence
Data Analysis
Excel
Figma
Flask
Kubernetes Basics
Microservices Architecture
Power BI
Tableau
Tableau Advanced Functions
User Experience (UX) Principles
APIs Design
Advanced CI/CD
Advanced Change Management
Advanced Cloud Architectures
Advanced Data Visualization
Advanced Risk Management
Advanced Security Practices
Agile Project Management
Ansible
Basic AWS Services
Basic CSS
Basic HTML
Basic React.js
Board Communication
Business Process Mapping
Change Management
Cloud Cost Management
Confluence
Custom API Development
Data Analysis
Data Warehousing Concepts
Emerging Technology Trends
Excel
Figma
Flask
Global Team Management
Kubernetes Basics
Microservices Architecture
Microservices Optimization
Organizational Change Leadership
Organizational Design
P&L Management
Power BI
System Design
Tableau
Tableau Advanced Functions
Terraform
Thought Leadership
User Experience (UX) Principles
Vendor Management
Applied AI Forward Deployed Engineer
REMOTE
95 - 150
We are seeking a talented Applied AI Forward Deployed Engineer. This is a remote position. Responsibilities - Build and maintain production-grade infrastructure and applications using TypeScript, PySpark, React, Python, or similar technologies. - Support customer implementations on Palantir Foundry and AIP. - Design and build data integration workflows, APIs, Ontology models, and model orchestration pipelines. - Build high-code applications within Foundry using OSDK, Functions, Actions, Compute Modules, and Marketplace deployments. - Develop applied AI workflows that help customers move from data and models to operational use cases. - Translate complex business and technical requirements into scalable technical solutions. - Support event-driven architecture and state-machine orchestration use cases. - Develop platform standards, documentation, and customer-facing knowledge articles. - Work with internal stakeholders and customer teams to improve implementation speed and quality. - Use modern engineering tools such as GitHub and Atlassian for collaboration and delivery. - Act as a subject matter expert on Foundry, AIP, and applied AI implementation best practices. Must-Have Skills Palantir Foundry, Palantir AIP, Python, TypeScript, JavaScript, React, PySpark, Spark, Data Engineering, Applied AI, AI Workflows, Model Orchestration, API Development, Ontology, Data Integration, Full Stack Development, Application Development, Production Infrastructure, Cloud Computing, GitHub, Technical Documentation, Customer-Facing Engineering, Solution Design, Platform Implementation Good-to-Have Skills Foundry OSDK, Foundry Functions, Foundry Actions, Compute Modules, Marketplace Deployments, Event-Driven Architecture, State-Machine Orchestration, Machine Learning, LLM Workflows, Enterprise AI Platforms, Workflow Automation, Atlassian Suite, Systems Architecture, MLOps, Cloud Deployment, Government / Enterprise Implementation Experience, Healthcare Domain Experience, Financial Services Domain Experience, Automotive Domain Experience, Supply Chain Domain Experience Qualifications - Bachelor's degree in Computer Science, Engineering, or a related technical field Team Size 2 to 4 openings Engagement Type Freelance / Contract; FTE can be considered for the right candidate Ideal Candidate Profile The ideal candidate is a hands-on Applied AI FDE with strong Palantir Foundry experience and the ability to build real customer-facing AI and data workflows. They should be comfortable moving across software engineering, data engineering, application development, Ontology, APIs, and model orchestration. The strongest candidates will have direct Foundry or AIP experience, strong TypeScript/PySpark/React/Python skills, and experience turning complex enterprise problems into usable production systems. Industries Supported ['Automotive', 'Healthcare', 'Financial Services', 'Supply Chain', 'Government / Public Sector', 'Enterprise AI and Data Platforms'] Screening Notes Prioritize candidates who have direct Palantir Foundry and AIP exposure. Strong profiles should mention Foundry, AIP, Ontology, OSDK, Functions, Actions, Compute Modules, PySpark, TypeScript, React, data integration, model orchestration, applied AI workflows, or forward deployed engineering. Candidates without Foundry experience should be deprioritized unless they have very strong enterprise AI implementation, data engineering, full stack development, and customer-facing delivery experience.
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Palantir Foundry
Palantir AIP
Python
TypeScript
JavaScript
React
PySpark
Spark
Data Engineering
Applied AI
AI Workflows
Model Orchestration
API Development
Ontology
Data Integration
Full Stack Development
Application Development
Production Infrastructure
Cloud Computing
GitHub
Technical Documentation
Customer-Facing Engineering
Solution Design
Platform Implementation
Foundry OSDK
Foundry Functions
Foundry Actions
Compute Modules
Marketplace Deployments
Event-Driven Architecture
State-Machine Orchestration
Machine Learning
LLM Workflows
Enterprise AI Platforms
Workflow Automation
Atlassian Suite
Systems Architecture
MLOps
Cloud Deployment
Government / Enterprise Implementation Experience
Healthcare Domain Experience
Financial Services Domain Experience
Automotive Domain Experience
Supply Chain Domain Experience
Palantir Foundry
Palantir AIP
Python
TypeScript
JavaScript
React
PySpark
Spark
Data Engineering
Applied AI
AI Workflows
Model Orchestration
API Development
Ontology
Data Integration
Full Stack Development
Application Development
Production Infrastructure
Cloud Computing
GitHub
Technical Documentation
Customer-Facing Engineering
Solution Design
Platform Implementation
Foundry OSDK
Foundry Functions
Foundry Actions
Compute Modules
Marketplace Deployments
Event-Driven Architecture
State-Machine Orchestration
Machine Learning
LLM Workflows
Enterprise AI Platforms
Workflow Automation
Atlassian Suite
Systems Architecture
MLOps
Cloud Deployment
Government / Enterprise Implementation Experience
Healthcare Domain Experience
Financial Services Domain Experience
Automotive Domain Experience
Supply Chain Domain Experience
Senior Implementation Engineer
REMOTE
100,000 - 150,000
Embark on a rewarding career in the Information Technology industry as a Senior Implementation Engineer. In this role, you will be responsible for executing well-defined technical implementation tasks, contributing to national security-related analytics, and leveraging your expertise in data analytics and engineering. Your work will directly impact mission-focused projects, enhancing operational effectiveness and supporting defense acquisition processes. You will collaborate closely with senior government stakeholders and be part of a dynamic team dedicated to delivering high-quality outcomes. Key Contributions Implement technical solutions by managing small tasks and sub-features from a clearly defined backlog, ensuring all work is reviewed by a mentor. Develop maintainable outputs, including code and documentation, while adhering to established standards and performing basic validations. Troubleshoot and resolve low-complexity issues efficiently, promptly escalating any blockers with concise context to maintain project momentum. Follow best practices for version control, including branch strategies and file conventions, to ensure reproducibility and clarity in your work. Actively participate in daily and weekly updates, capturing essential notes and links for future reference to enhance team collaboration. Ways of Working Apply the team’s acceptance criteria and “definition of done” to ensure quality in deliverables. Keep changes small and manageable, ensuring all modifications are reviewed and traceable with clear commit messages. Utilize asynchronous communication methods to provide updates and summarize outcomes, next steps, and requests when working remotely. Engage in quick desk reviews and stand-up meetings to address blockers promptly in an onsite environment. Collaboration & Communication Collaborate with peers and mentors, asking clarifying questions to ensure a shared understanding of tasks. Align with adjacent roles, such as Project Managers, Quality Assurance, and Design teams, to confirm scope and acceptance criteria before initiating work. Growth Signals Successfully complete defined tasks on time with minimal rework, showcasing your ability to deliver quality work. Demonstrate a willingness to incorporate feedback swiftly and communicate progress and risks effectively to stakeholders. Must-Haves Proficient in AWS services, Understanding of basic networking concepts, Basic scripting capabilities, Knowledge of CI/CD practices, Experience with cloud deployment, Customer support skills, Solid database design knowledge, Experience with distributed systems, Familiar with API development, Experience with Agile methodology, Basic knowledge of HTML/CSS, Skilled in business process mapping, Understanding of change management, Knowledge of cloud architecture Engagement & Compensation Employment Type: Freelance Openings: 1 position available. Experience: 0 to years Work Mode: Onsite Location: Washington, D.C., USA Hourly Rate: $100000.0-$150000.0 per hour Additional Comments Candidates must possess an active U.S. Secret security clearance, U.S. citizenship, and a Bachelor's degree in Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent practical experience. Additionally, candidates should have 3 to 7 years of experience in technical implementation, data analytics, data engineering, or mission-focused analytics, with strong hands-on experience in SQL, Python, and/or R. The ability to work onsite in Washington, D.C. up to five days per week is essential, along with strong verbal, written, and presentation skills to effectively present findings to senior government or enterprise stakeholders.
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Proficient in AWS services
Understanding of basic networking concepts
Basic scripting capabilities
Knowledge of CI/CD practices
Experience with cloud deployment
Customer support skills
Solid database design knowledge
Experience with distributed systems
Familiar with API development
Experience with Agile methodology
Basic knowledge of HTML/CSS
Skilled in business process mapping
Understanding of change management
Knowledge of cloud architecture
Proficient in AWS services
Understanding of basic networking concepts
Basic scripting capabilities
Knowledge of CI/CD practices
Experience with cloud deployment
Customer support skills
Solid database design knowledge
Experience with distributed systems
Familiar with API development
Experience with Agile methodology
Basic knowledge of HTML/CSS
Skilled in business process mapping
Understanding of change management
Knowledge of cloud architecture
Forward Deployed Engineer / Palantir Foundry Engineer
REMOTE
90 - 140
Title: Freelance Forward Deployed Engineer / Palantir Foundry Engineer Industry: Enterprise AI and Data Platforms | Work Mode: | Location: Role Purpose Embark on your career in the Enterprise AI and Data Platforms industry as a Forward Deployed Engineer / Palantir Foundry Engineer. You will execute clearly scoped tasks under guidance, learn team standards for delivering high-quality software solutions, and contribute to reliable project outcomes. Success in this role is characterized by steadily increasing independence, clean handoffs, and effective communication in a collaborative environment. Key Contributions Implement small tasks and sub-features from a defined backlog, ensuring mentor review for quality assurance. Produce simple, maintainable outputs, such as code, documentation, and artifacts, with basic validation processes in place. Troubleshoot and fix low-complexity issues; promptly escalate blockers with concise context to ensure smooth project flow. Adhere to branch strategy, file conventions, and checklists to maintain reproducibility and consistency in your work. Participate actively in daily and weekly updates, capturing notes and links for future reference and team learning. Ways of Working Apply the team’s acceptance criteria and “definition of done” to all tasks undertaken. Keep changes small, well-reviewed, and traceable; write clear and informative commit messages for the team. Utilize async-first updates if working in a remote or hybrid setting, summarizing outcomes, next steps, and any requests for assistance. Engage in quick desk reviews and stand-up meetings to unblock tasks early when onsite. Collaboration & Communication Work closely with peers and mentors; ask clarifying questions early to ensure understanding and alignment on tasks. Align scope and acceptance criteria with adjacent roles, such as Project Management, Quality Assurance, and Design, before commencing work. Growth Signals Complete well-defined tasks on time with minimal rework required. Incorporate feedback swiftly and communicate progress and risks succinctly to the team. Engagement & Compensation Employment Type: Freelance Openings: 2 positions available. Experience: 0 to years Compensation: Hourly Rate: $90.0-$140.0 per hour Must-Haves Setting standards for engineering practices, Cross-functional collaboration skills, Proficient in advanced cloud services, Experienced in advanced DevOps practices, Skilled in strategic planning, Palantir, Knowledge of organizational design, Familiar with advanced security practices, Experience with microservices optimization, Awareness of emerging technology trends Additional Comments
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Setting standards for engineering practices
Cross-functional collaboration skills
Proficient in advanced cloud services
Experienced in advanced DevOps practices
Skilled in strategic planning
Palantir
Knowledge of organizational design
Familiar with advanced security practices
Experience with microservices optimization
Awareness of emerging technology trends
Setting standards for engineering practices
Cross-functional collaboration skills
Proficient in advanced cloud services
Experienced in advanced DevOps practices
Skilled in strategic planning
Palantir
Knowledge of organizational design
Familiar with advanced security practices
Experience with microservices optimization
Awareness of emerging technology trends
Staff AI QA and Evaluation Specialist
HYBRID
110 - 155
Own rubric design, test datasets, model evaluation, and release-readiness reviews for AI features. Cinder Ridge Financial is hiring a Staff AI QA and Evaluation Specialist to support financial services operations initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact.
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AI governance / compliance
Automation
Context engineering
Machine learning
Natural language processing (NLP)
Computer vision / visual image recognition
Function calling / tool use
Experiment tracking (MLflow / Weights & Biases)
Voice AI / speech AI
AI image generation & editing
AI governance / compliance
Automation
Context engineering
Machine learning
Natural language processing (NLP)
Computer vision / visual image recognition
Function calling / tool use
Experiment tracking (MLflow / Weights & Biases)
Voice AI / speech AI
AI image generation & editing
Principal AI Program Manager
REMOTE
120 - 165
Coordinate delivery of AI workstreams across product, engineering, analytics, and governance functions. Cinder Ridge Financial is hiring a Principal AI Program Manager to support financial services operations initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact.
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Amazon Web Services (AWS)
Artificial intelligence
MLOps / AI platform engineering
Retrieval-augmented generation (RAG)
SQL
Multimodal models
Vector databases
Pipeline orchestration (Kubeflow / Airflow / Prefect)
Model monitoring
AI video generation & editing
Amazon Web Services (AWS)
Artificial intelligence
MLOps / AI platform engineering
Retrieval-augmented generation (RAG)
SQL
Multimodal models
Vector databases
Pipeline orchestration (Kubeflow / Airflow / Prefect)
Model monitoring
AI video generation & editing
Lead Healthcare AI Specialist
HYBRID
105 - 150
Develop compliant healthcare AI workflows for clinical text, operations reporting, and regulated review. Cinder Ridge Financial is hiring a Lead Healthcare AI Specialist to support financial services operations initiatives in the US market. The role will partner with product, engineering, analytics, and business stakeholders to deliver production-grade AI capabilities with measurable operational impact.
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AI governance / compliance
AI model training / RLHF
Data science
Prompt engineering
Scalability / systems design
EU AI Act compliance
OpenAI / Anthropic / Gemini API integration
LLM evaluation frameworks
Infrastructure as code (Terraform / Pulumi)
Stable Diffusion / diffusion models
AI governance / compliance
AI model training / RLHF
Data science
Prompt engineering
Scalability / systems design
EU AI Act compliance
OpenAI / Anthropic / Gemini API integration
LLM evaluation frameworks
Infrastructure as code (Terraform / Pulumi)
Stable Diffusion / diffusion models