Lead AI/ML and data science solutions to accelerate research and improve decision-making in advanced synthesis.
Compensation
The full-time annual base pay for this position in The Netherlands is expected to range between 84.000, - EUR and 117.600,- EUR.
Responsibilities
Lead the application of AI/ML, advanced analytics, and data science solutions to address high-value scientific and operational challenges.
Partner with R&D scientists and Advanced Synthesis stakeholders to translate complex business needs into scalable digital solutions.
Design and implement predictive models, optimization tools, and decision-support systems that improve scientific outcomes and operational efficiency.
Collaborate with data engineering, digital, and technical teams to deliver robust end-to-end solutions from concept through deployment.
Drive innovation by evaluating and introducing emerging AI/ML methodologies, technologies, and best practices.
Requirements
PhD in Data Science, Computer Science, AI/ML, Chemistry, Chemical Engineering, Bioconjugation, or a related scientific discipline, or equivalent experience.
Own and drive the AI and automation strategy for the Spark Earnings Excellence team, delivering AI/ML solutions across enterprise scale.
Compensation
The annual salary range for this position is $110,000.00 - $220,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Set and own the multi-year AI and automation vision across Spark Earnings Excellence pillars
Architect scalable data, platform, and governance foundations that enable AI at enterprise scale
Ship agentic AI for use cases like payment validation, defect root-cause analysis, reconciliation, anomaly detection, and audit reporting
Drive portfolio prioritization through rigorous business cases balancing impact, effort, and risk
Lead cross-functional Engineering, Data Science, and platform teams from concept to production with measurable outcomes
Requirements
Bachelor's in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
Master's in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
Nice to have: PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
Design, prototype, implement, evaluate, and optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Compensation
Base salary: starting at $160,000 base plus bonus potential
Responsibilities
Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
Build, test, deploy and maintain production systems.
Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
Support maintenance and optimization of cloud-native EDW and ETL solutions.
Requirements
Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
Lead measurement and insights work for generative music experiences, designing large-scale analyses, integrating evaluation signals, and building metrics and decision systems for Spotify's Artist-First AI Music lab.
Compensation
The United States base range for this position is $144,714–$206,735 USD, plus equity.
Responsibilities
Lead foundational measurement and insights work for generative music experiences
Design and run large-scale analyses and evaluations of generative music systems
Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops
Identify behavioral and market dynamics that shape sustainable consumer demand and creator participation
Build practical, scalable metrics and decision systems that define what "good" looks like for AI music
Support enterprise AI/ML architecture initiatives, governance frameworks, and agentic AI capabilities across federal modernization programs.
Compensation
Salary Range: $120k - $155k
Responsibilities
Support AI/ML architecture design and engineering activities across enterprise architecture and modernization initiatives.
Assist in developing and maintaining enterprise AI architecture baselines, target-state architectures, and transition roadmaps.
Contribute to solution architecture efforts for AI-enabled systems, integrating cloud-native services and advanced analytics platforms.
Support the development and maintenance of AI model governance frameworks, including model lifecycle management, risk assessments, and compliance monitoring.
Assist in designing scalable data pipeline architectures to support AI/ML training, inference, monitoring, and continuous improvement.
Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
Master’s degree in Computer Science, Engineering, Information Technology, or related discipline
Nice to have: Master’s degree
Nice to have: AI/ML platforms and services including Azure AI, Azure Machine Learning, Amazon SageMaker, OpenAI services
Nice to have: Generative AI and large language model (LLM) technologies
Develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry, applying advanced mathematical techniques and modern software engineering practices.
Compensation
$105,000.00 - $140,000.00 - $154,000.00 annually
Responsibilities
Apply advanced mathematical and statistical techniques to solve complex engineering problems.
Develop production-quality software solutions.
Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
Analyze large datasets and imagery to improve system accuracy and performance.
Participate in system design, code reviews, and technical architecture discussions.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
CLIENT
Kforce/United Airlines
POSITION
GenAI Solutions Architect
LOCATION
Remote
DURATION
6 Month C2H
BILL RATE
$95/hr C2C
INTERVIEW TYPE
Video
VISA RESTRICTIONS
Must be able to convert without sponsorship
REQUIRED SKILLS
Required Qualifications
8+ years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles.
Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines.
Hands-on experience architecting Generative AI solutions in enterprise environments.
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
Experience with Agentic AI frameworks and autonomous workflow orchestration.
Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies.
Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization.
Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations.
Excellent communication, presentation, and stakeholder management skills.
Technical Requirements
Experience with several of the following technologies:
Large Language Models (OpenAI, Claude, Gemini, Llama, etc.)
RAG Architecture
Agentic AI Frameworks
Vector Databases:
Pinecone
Weaviate
Chroma
FAISS
Google Vertex AI
AWS SageMaker
Hugging Face
LangChain
LangGraph
LlamaIndex
Python
Machine Learning & Deep Learning Frameworks
Cloud Platforms (AWS, GCP, Azure)
API Design & Integration
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