Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the design and implementation of AI models and systems to meet project requirements.
Lead the development and execution of AI and machine learning strategy for biometric face verification and security.
Compensation
Comp: Negotiable (Base) + Company Performance Bonus (20%) + EMI Share Options + UK iProov Benefits
Responsibilities
Define and steward the AI strategy, roadmap, and vision across core AI research, product, and production domains
Lead teams across research, production/engineering, and MLOps to deliver robust, secure, explainable models for liveness assurance and fraud detection
Oversee model development and deployment pipelines: data ingestion, training, optimization, evaluation, monitoring, and continuous improvement in adversarial biometric threat landscapes
Ensure AI is aligned with product and commercial goals, measuring ROI and outcomes of AI deployments
Drive partnerships and external collaboration with academic, industry, and regulatory stakeholders
Requirements
Master’s or PhD in computer science, machine learning, data science, or a AI related field
Lead a team of data professionals within the Group Responsible and Strategic Procurement department, defining and implementing the Group Responsible and Strategic Procurement data strategy, analytics capabilities and data governance framework.
Responsibilities
Develop and articulate comprehensive data and analytics vision and strategy aligned with the overall business objectives
Identify, design and prioritize key business questions that can be answered through data analysis, driving value creation
Champion a data-driven culture across the organization, promoting data literacy and the use of analytics for decision-making
Stay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and business intelligence
Act as a strategic advisor to Responsible and Strategic Procurement Leadership, utilizing data-driven insights to identify cost-savings opportunities, mitigate supply chain risks, and drive value creation
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field
Engineer responsible for testing AI models and software in automotive applications, developing ground truth data, reference materials, and robust testing frameworks.
Compensation
Salary: $95,000 - $145,000, annual salary
Responsibilities
Generate ground truth data and annotated datasets
Develop reference materials and testing frameworks
Engage with internal customers to identify challenges
Collaborate with universities and external partners
Provide technical evaluation of technologies
Requirements
Bachelor's or higher degree in Engineering including Computer Science, Electrical, Aerospace, and Robotics
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
Build and deploy machine learning models for dexterity-driven physical AI robots, collaborating with researchers and engineers to integrate ML into production systems.
Responsibilities
Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Provide technical guidance and mentorship to junior team members.
Requirements
Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related 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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