ML Research Lead
REMOTE
As an ML Research Lead, you will be at the forefront of driving innovation in the Information Technology industry. Your role will involve steering research initiatives and developing machine learning strategies that align with the project goals. This position is crucial for translating complex data into actionable insights, fostering a culture of continuous improvement and excellence in AI research. Responsibilities
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post-trained
released an open model
hands-on SFT
DPO
RLHF
open-weights base
public artifact
Advising Executive Leadership
Board-Level Engagement
Building Global Research Networks
Change Leadership
Corporate Strategy Alignment
Cross-Functional Program Management
Defining Future Research Directions
Defining Research Excellence Standards
Driving Innovation Culture
Driving Organizational Change
Establishing Industry Leadership
Establishing Research Culture
Executive Stakeholder Engagement
Global Research Influence
Global Research Initiatives Management
Global Research Policies
Industry Benchmarking
Industry Standards Development
Influencing Public Policy
Leading Major Research Initiatives
Legacy Building
Long-Term Organizational Impact
Long-term Strategic Planning
Mentorship Programs
P&L Accountability
Research Ecosystem Development
Research Impact Measurement
Setting Research Priorities
Strategic Partnerships Development
Strategic Vision Communication
Sustainable Research Practices
Transformational Change Leadership
Transformational Leadership
Transforming Research Landscape
Vision Setting for Research
Visionary Research Strategy
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
AI for Social Good
Advanced AI Ethics
Advanced Algorithmic Fairness
Advanced Research Metrics
Automation Tools
Corporate Governance
Corporate Philanthropy
Corporate Social Responsibility
Cross-Cultural Leadership
Cross-Industry Collaborations
Data Privacy Standards
Data-Driven Decision Making
Emerging Technologies
Enterprise Resource Planning (ERP)
Expansion into Emerging Markets
Funding Acquisition Strategies
Global Compliance Standards
Global Research Community Leadership
Global Research Initiatives
Innovative Research Frameworks
Interdisciplinary Approaches
JIRA for Research Projects
Major Policy Influence
Mergers and Acquisitions
Organizational Change Management
Organizational Resilience
Public Speaking
Research Impact Strategy
Setting Industry Standards
Thought Leadership Publications
post-trained
released an open model
hands-on SFT
DPO
RLHF
open-weights base
public artifact
Advising Executive Leadership
Board-Level Engagement
Building Global Research Networks
Change Leadership
Corporate Strategy Alignment
Cross-Functional Program Management
Defining Future Research Directions
Defining Research Excellence Standards
Driving Innovation Culture
Driving Organizational Change
Establishing Industry Leadership
Establishing Research Culture
Executive Stakeholder Engagement
Global Research Influence
Global Research Initiatives Management
Global Research Policies
Industry Benchmarking
Industry Standards Development
Influencing Public Policy
Leading Major Research Initiatives
Legacy Building
Long-Term Organizational Impact
Long-term Strategic Planning
Mentorship Programs
P&L Accountability
Research Ecosystem Development
Research Impact Measurement
Setting Research Priorities
Strategic Partnerships Development
Strategic Vision Communication
Sustainable Research Practices
Transformational Change Leadership
Transformational Leadership
Transforming Research Landscape
Vision Setting for Research
Visionary Research Strategy
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
AI for Social Good
Advanced AI Ethics
Advanced Algorithmic Fairness
Advanced Research Metrics
Automation Tools
Corporate Governance
Corporate Philanthropy
Corporate Social Responsibility
Cross-Cultural Leadership
Cross-Industry Collaborations
Data Privacy Standards
Data-Driven Decision Making
Emerging Technologies
Enterprise Resource Planning (ERP)
Expansion into Emerging Markets
Funding Acquisition Strategies
Global Compliance Standards
Global Research Community Leadership
Global Research Initiatives
Innovative Research Frameworks
Interdisciplinary Approaches
JIRA for Research Projects
Major Policy Influence
Mergers and Acquisitions
Organizational Change Management
Organizational Resilience
Public Speaking
Research Impact Strategy
Setting Industry Standards
Thought Leadership Publications
SAP SD Consultant
ONSITE

Bangalore, Karnataka, India

11 - 16
As an SAP SD Consultant, you will play a pivotal role in the S/4HANA Cloud Public Edition Implementation project within the IT industry. Your expertise in SAP Sales and Distribution modules will enable transformational change, ensuring that our systems meet the highest standards of efficiency and effectiveness. You will collaborate closely with cross-functional teams, contributing to the success and growth of our organization. Responsibilities - Lead the implementation and configuration of SAP SD modules, ensuring alignment with business requirements and processes. - Collaborate with business stakeholders to gather and analyze requirements for system enhancements and optimizations. - Conduct thorough testing and validation of SAP SD solutions, ensuring high-quality deliverables. - Provide training and support to end-users, facilitating a smooth transition to the new system. - Troubleshoot and resolve issues related to SAP SD functionality, ensuring minimal disruption to business operations. - Stay updated on SAP best practices and industry trends, leveraging this knowledge to drive continuous improvement. Ways of Working You will work onsite in Bangalore, Karnataka, India, fostering collaboration and innovation among team members and stakeholders. Your role will involve direct communication with various departments, aligning technical solutions with business goals. Collaboration & Communication Engagement with key stakeholders, including project managers, business analysts, and technical teams, will be essential. You will be expected to present findings and recommendations effectively, ensuring clarity and understanding across diverse audiences. Growth Signals Opportunities for professional development will be available as you advance in your role. You will have the chance to take on more complex projects, mentor junior consultants, and potentially transition into leadership roles within the organization. Must-Haves
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Advanced SAP Configuration
Basic Configuration
Basic SAP BW
Basic SAP CRM
Basic SAP FI/CO
Basic SAP HCM
Basic SAP MM
Basic SAP PP
Basic SAP S/4HANA
Basic SAP SD
Basic SQL
Business Process Mapping
Cross-Module Integration
Data Migration
Enterprise Architecture
Problem Solving
Requirements Gathering
SAP
SAP Business Process Improvement
SAP Business Strategy
SAP Change Management
SAP Integration
SAP Module Integration
SAP Process Optimization
SAP Project Management
SAP Solution Architecture
SAP System Architecture
Standards Setting
Team Collaboration
Agile Methodology
Basic Data Analysis
Basic Data Visualization
Basic User Training
Change Management
Cross-Functional Leadership
JIRA
Microsoft Excel
Organizational Change Strategy
SAP Analytics Cloud
SAP Authorizations
SAP Business Workflow
SAP Cloud Platform
SAP Data Governance
SAP Fiori
SAP Performance Tuning
SAP Risk Management
SAP Roadmap Development
SAP Solution Manager
Stakeholder Engagement
Technical Documentation
Advanced SAP Configuration
Basic Configuration
Basic SAP BW
Basic SAP CRM
Basic SAP FI/CO
Basic SAP HCM
Basic SAP MM
Basic SAP PP
Basic SAP S/4HANA
Basic SAP SD
Basic SQL
Business Process Mapping
Cross-Module Integration
Data Migration
Enterprise Architecture
Problem Solving
Requirements Gathering
SAP
SAP Business Process Improvement
SAP Business Strategy
SAP Change Management
SAP Integration
SAP Module Integration
SAP Process Optimization
SAP Project Management
SAP Solution Architecture
SAP System Architecture
Standards Setting
Team Collaboration
Agile Methodology
Basic Data Analysis
Basic Data Visualization
Basic User Training
Change Management
Cross-Functional Leadership
JIRA
Microsoft Excel
Organizational Change Strategy
SAP Analytics Cloud
SAP Authorizations
SAP Business Workflow
SAP Cloud Platform
SAP Data Governance
SAP Fiori
SAP Performance Tuning
SAP Risk Management
SAP Roadmap Development
SAP Solution Manager
Stakeholder Engagement
Technical Documentation
ML Research Lead
REMOTE

250 - 400
Work Mode: Remote | Location: USA, Europe ML Research Lead — Open-Source AI Tutoring Model The engagement: We are assembling a consortium to bid for major philanthropic funding to build anopen-source AI model for K-12 math tutoring. Multi-year program, well-funded. We are looking for a named ML research lead to anchor the model-development side. What this is: Anamed, credentialed role on the proposal — your CV plus a short Letter of Commitment, needed by the endof July. This isnot a full-time hire on that date; the role formalizes if we win Must-haves 1. You have post-trained and released an open model. Hands-on SFT, DPO, or RLHF on an open-weights base (Llama / Qwen / Gemma-class), with apublic artifact — released weights, a model card, or a paper. "Released" is the key word: something we can open and read, not internal-only work. 2. A public artifact dated before May 2026. The release, paper, or model card needs to pre-date that point. (This is a firm eligibility line for the funder, not a preference.) 3. Willing to be named, with CV + Letter of Commitment by the end of July. A listed research contributor on the proposal — not a background advisor. 4. No conflicting commitment. Not currently bound to an organization that would prevent you from serving as a funded contributor on this bid. Strongly preferred (bonus, in priority order) - Education / tutoring experience with LLMs - Mathematics specifically - Alignment / behavior tuning — especially teaching a modelwhen to withhold the answer and guide the student rather than just solve it (this is our core technical problem) Nice-to-have - Experience releasing under permissive open licenses (Apache 2.0 / CC-BY-4.0) - Familiarity with the OLMo / Tülu open post-training stack - US-based or able to work to US-K12 field-testing timelines Key Question for the Candidate What model have you post-trained and released (SFT/DPO/RLHF), on what base, and can you share the weights, model card, or paper — dated before May 2026?
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post-trained and released an open model
hands-on SFT
DPO
RLHF
public artifact
released weights
model card
paper
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
post-trained and released an open model
hands-on SFT
DPO
RLHF
public artifact
released weights
model card
paper
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
Forward Deployed Engineer / Palantir Foundry Engineer
REMOTE

90 - 140
We are seeking a Forward Deployed Engineer / Palantir Foundry Engineer to join our team and drive transformational change in the Information Technology industry. In this role, you will lead complex initiatives, build world-class systems, and help shape the future of our engineering organization. Responsibilities - Define and execute a multi-year technical strategy across the engineering organization, ensuring alignment with business goals and objectives. - Lead the architecture and design of mission-critical systems that support millions of users, focusing on scalability and reliability. - Drive the adoption of emerging technologies and establish engineering standards across various teams to enhance productivity and performance. - Collaborate with C-level executives to influence the product roadmap and assess technical feasibility for upcoming projects. - Spearhead major technical initiatives, including platform modernization, scalability projects, and system migrations, ensuring timely delivery and high quality. - Build and scale high-performing engineering teams through effective hiring, mentoring, and process optimization methodologies. - Represent the company at industry conferences and technical advisory boards, promoting our innovations and technical capabilities. Ways of Working - Work in a flexible remote environment that fosters collaboration and innovation. - Engage with cross-functional teams to align on strategic initiatives, ensuring clear communication and effective execution. Collaboration & Communication - Partner with various stakeholders, including product management and executive leadership, to develop and implement technical strategies. - Foster an inclusive engineering culture that encourages open dialogue and feedback, enhancing team collaboration. Growth Signals - Opportunities for advancement into senior technical leadership roles, with a focus on expanding your influence within the organization. - Continuous learning and development through participation in industry conferences and technical workshops. Must-Haves
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Python
TypeScript
JavaScript
React
PySpark
Spark
Data Engineering
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
Model Orchestration
Event-Driven Architecture
State-Machine Orchestration
Enterprise Data Platforms
Machine Learning
AI Workflows
AIP Implementation
Atlassian Suite
Systems Architecture
Workflow Automation
Government / Enterprise Implementation Experience
Healthcare Domain Experience
Financial Services Domain Experience
Automotive Domain Experience
Supply Chain Domain Experience
Python
TypeScript
JavaScript
React
PySpark
Spark
Data Engineering
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
Model Orchestration
Event-Driven Architecture
State-Machine Orchestration
Enterprise Data Platforms
Machine Learning
AI Workflows
AIP Implementation
Atlassian Suite
Systems Architecture
Workflow Automation
Government / Enterprise Implementation Experience
Healthcare Domain Experience
Financial Services Domain Experience
Automotive Domain Experience
Supply Chain Domain Experience
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
Read More
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