• Recommend approaches to meet technical and program requirements
• Support technical and product roadmap development 
• Perform trade studies to assess and select the right emerging technologies.
• Remain current with the state of the art within the field
• Develop technical capabilities in line with business needs
• Prototype and demonstrate advanced designs for validation and proof of concepts.
• Design and Develop state of the art solutions for airborne systems and airline applications.
• Generate technical documentation in accordance with engineering policies and procedures
• Support project planning efforts and ensure execution to schedule and budget
• Develop action plans to anticipate and respond to problems
• Communicate project status, business issues, and significant developments
• Provide vulgarization training and mentoring to less experienced engineers

Skills: Technical Analysis and Recommendation, Roadmap Development, Technology Assessment and Selection, Continuous Learning, Capability Development, Prototyping and Proof of Concept, System Design and Development, Technical Documentation and Communication

• Research and develop models and algorithms for Machine learning, AI, Deep learning...
• Build and complete infrastructure data, make development plans for artificial intelligence
• Collaborate with departments to complete and ensure progress when researching and applying AI
• Report and evaluate the operation of AI models
• Research and implement data processing methods: Collect, analyze, clean, standardize data. 
• Perform training for the AI model, test AI programs.
• Collaborate with departments to deploy the system for customers
• Assist the Digital Product Managers, Product Owners and project leader in the functional area 
• Providing follow-up and guidance of programming and implementation of new or modified programs or applications
• Guarantee a fluent execution of the product roadmap/project.

Skills: Machine Learning and AI Modeling, Data Infrastructure Development, Collaboration and Project Management, Performance Evaluation and Reporting, Data Processing and Analysis, Model Training and Testing, System Deployment and Implementation, Technical Support and Guidance.

• Recommend approaches to meet technical and program requirements
• Lead ASR/AI technical and relevant product roadmap development and perform trade studies to assess and select the right emerging technologies.
• Remain current with the state of the art within the field
• Lead and develop ARS/AI technical capabilities in line with business needs
• Prototype and demonstrate advanced designs for validation and proof of concepts.
• Design and Develop state-of-the-art solutions for airborne systems and airline applications.
• Generate technical documentation in accordance with engineering policies and procedures
• Support project planning efforts and ensure execution to schedule and budget
• Develop action plans to anticipate and respond to problems
• Communicate project status, business issues, and significant developments
• Provide training and mentoring to less experienced engineers

Skills: Technical Problem Solving, Research and Development, Leadership and Team Development, Prototyping and Design, Documentation Skills, Project Management, Communication Skills, Adaptability and Continuous Learning

• Execute complex projects – designing, creating, and innovating to meet Analytics goals
• Implement artificial intelligence and machine learning methods in combination with explanatory econometrics and statistics
• Build, maintain, and adjust predictive models, writing AI/ML code for supply chain use cases
• Support development and implementation of models for insurance loss, conversion, retention, expense, etc.
• Employ programming techniques efficiently and soundly, develop and use large datasets across multiple platforms
• Communicate with fellow team members across functions
• Whiteboarding with the client and crystallizing the best business use case to solve using AI/ML
• Doing data discovery analysis/Descriptive analysis using Python libraries for data Analysis and visualization
• Interacting with business and engineering to understand the business use case
• Communicating the findings and results of AI/ML modeling
• Supporting API design to ensure integration with downstream applications or any front End
• Ensuring that the AI/ML model is structured for onboarding on an MLOps pipeline for production deployment on the cloud

Skills: Project Execution, Artificial Intelligence and Machine Learning, Predictive Modeling, Model Development and Implementation, Programming and Data Handling, Team Communication, Client Interaction and Business Use Case Development, Data Analysis and Visualization

• Lead developer for models on AI Technology Platforms
• Ensure the Models meet functional and non-functional requirements.
• Make sure the model execution performs
• Make sure model performance consistently meets or exceeds the requirements established while accounting for Cybersecurity and Operational Excellence.
• Analyze requirements identified in close collaboration with the Business Analyst and other IT colleagues and assist in converting these requirements into an algorithmic model.
• Make sure that qualitative applications can be developed.
• Perform and document the modeling and iterations of the proposals from the Digital Product Manager or Product Owner.
• Convert the functional/technical analysis into a model within the sprint time box (Agile methodology), according to development standards and methodologies.
• Resolve the product backlog and thus deliver business value.
• Provide continuous consultancy about possible process improvements and the quality of the tools being used in order to strengthen the cooperation with the business or end user.

Skills: AI Model Development, Requirement Analysis, Performance Optimization, Agile Methodology, Documentation, Problem Solving, Consultation Skills, Qualitative Application Development

• Good knowledge of Artificial Intelligence, good analytical skill
• Ready to work in either Maintenance Invest projects.
• Have good agile knowledge and Experienced Data Development.
• Knowledge in incident management, Service request management and problem management.
• Quick learner and good communication Customer facing experience.
• High level of knowledge and experience in Artificial Intelligence
• Good Communication and stakeholder management skills.
• Knowing Datastage, must be fluent in AI/ML techniques
• Proficiency in R, Python, Jupyter Notebooks, Anaconda, Azure, Apache Spark, Databricks, TensorFlow, MATLAB, Kubernetes, Docker, Stream Analytics, IoT, C#, Cosmos DB, SQL Server, Hadoop, MongoDB
• Experience working in an Agile/Scrum development process
• Thrive in a startup, fast-paced environment and manage multiple projects simultaneously
• Strong team player with enthusiasm, positive attitude, and great sense of humor

Qualifications: BS in Computer Science with 5 years of Experience

• Experience building and deploying applications using one or more AWS cloud technologies
• Proficiency in Python or programming languages used for developing AI/ML models
• Full-stack engineering experience related to designing APIs and microservices, integration among AWS databases, backend services, and frontend web and apps
• AI/ML pipelines on AWS Sagemaker Pipelines and pipeline orchestration tools such as MLFlow, Apache Airflow, Kubeflow
• Data Engineering and DevOps skills in automation (e.g. BuildKite, Jenkins) and virtualisation (e.g. Docker, Kubernetes) related to model deployment and scaling
• Familiarity with different microservice deployment methodologies, including A/B testing, blue-green and canary deployments
• Experience building AI/ML-driven customer-facing products in a fast-moving B2C e-commerce or marketplace environment
• Experience working with real-time data streams, Feature Store, and/or Data Lake
• Relevant knowledge in one or a few areas of AI, Machine Learning, algorithms, statistics, optimizations, hypothesis testing
• An interest in trading, financial investments, and financial technology
• Experience with Agile methods and processes

Qualifications: BS in Mathematics with 4 years of Experience

• Experience working in a software or data team
• Experience working on DL models for use cases such as object detection, behavior recognition and text recognition
• Hands-on experience working with any frameworks for images, text or audio (e.g. OpenMMLab, OpenCV, Transformers)
• Advanced knowledge of either Tensorflow or PyTorch deep-learning framework
• Knowledge of how models are deployed for inferencing on edge devices and servers
• Ability to perform transfer learning to fine-tune models for use cases defined by business users
• Knowledgeable about DL models and able to combine modularized capabilities to define solutions to solve business user problems
• Knowledge of a second programming language (e.g. C#/.NET, Java, JavaScript) is highly favorable
• Detail-oriented, with excellent organizational skills and experience
• Critical thinking and problem-solving skills

Qualifications: BS in Statistics with 2 years of Experience

• Working heritage on major satellite Earth Observation and Navigation systems
• Experience in AI and expertise in the design of artificial intelligence algorithms
• knowledge of Artificial Intelligence, in particular MPL, CNN and RNN learning technologies
• Knowledge of Data analysis and big data technologies
• Knowledge of Cloud technologies and architectures
• Knowledge of object programming in particular Python (Pyorch) , Java, C ++ and relevant Data Science packages (such as numpy, scipy, scikit-learn, pandas...)
• Good knowledge of operating systems
• Experience in multi-core programming and optimization
• Knowledge of framework for machine learning
• Ability to work independently and collaboratively within a team
• Ability to relate to people to find information, share analysis results and facilitate problem-solving

Qualifications:  BS in Cognitive Science with 3 years of Experience

• Experience in building and testing software applications that integrate AI services and include data science models.
• Experience in applying common design principles and patterns.
• Experience working on own initiative and in a collaborative team environment.
• Experience in troubleshooting issues within development and test environments.
• Good communication skills, with the ability to communicate issues to technical people, and sometimes to non-technical people
• Knowledge and experience with algorithmic modeling using structured and unstructured data
• Experience in and/or good knowledge of business processes.
• Knowledge and experience with Python, R and/or machine learning libraries
• Knowledge and experience in creating visualizations and explanations to successfully communicate results and/or findings from applying models to solve business problems.
• Accurate, methodical and systematic way of working
• Strong analytical and problem-solving skills, excellent knowledge of English
• Able to work independently as well as in a team

Qualifications:  BA in Neuroscience with 5 years of Experience