Job Summary:

• Coordinate with engineering, operational, and healthcare personnel
• Identify and specify software development priorities and provide technical documentation and recommendations
• Prepare data, including sensitive patient medical records and avatar interaction data, for use in machine learning systems
• Assist in the architecture, engineering, and development of data-producing/consuming software
• Changes to legacy web application software, to optimize the use of machine learning and AI techniques
• Design and implement conversational AI systems
• Automate patient-avatar conversations using automatic speech recognition (ASR), natural language processing (NLP), and natural language generation (NLG) techniques
• Intelligently and in real-time divert interactions to human staff if the AI system has low confidence
• Dynamically learn and improve conversational AI based on the self-labeling nature of diverted interactions
• Apply advanced techniques to compensate for environmental noise and age-related changes in speech

Skills on Resume:

• Coordination (Soft Skills)
• Prioritization & Documentation (Hard Skills)
• Data Preparation (Hard Skills)
• Software Engineering (Hard Skills)
• Legacy Optimization (Hard Skills)
• Conversational AI Design (Hard Skills)
• Automation (Hard Skills)
• Real-time Management (Hard Skills)

Job Summary:

• Deploy AI models into production
• Create APIs and help business customers put results of AI models into operations
• Keep current on latest AI research relevant to WAF domain
• Identify transfer learning opportunities and new training datasets
• Set up and manage AI development and production infrastructure
• Develop features, discuss architectural designs, attend code reviews, find agile solutions to critical issues
• Contribute agile sprints by planning, organizing and completing task. 
• Report daily progress at scrum meetings and expectations at retrospective meetings
• Investigate and compare new technologies that improve performance, maintainability
• Improve quality, know-how, robustness projects and products using self-experience.
• Sharp engineering skills with strong CS fundamentals

Skills on Resume:

• AI Deployment (Hard Skills)
• API Development (Hard Skills)
• AI Research Awareness (Hard Skills)
• Transfer Learning & Dataset Selection (Hard Skills)
• Infrastructure Management (Hard Skills)
• Software Development (Hard Skills)
• Agile Project Management (Soft Skills)
• Technology Evaluation (Hard Skills)

Job Summary:

• Recommend approaches to meet technical and program requirements
• Support technical and 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
• 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 on Resume:

• Technical Acumen (Hard Skills)
• Technology Assessment (Hard Skills)
• Continuous Learning (Soft Skills)
• Adaptability (Soft Skills)
• Prototyping and Validation (Hard Skills)
• Solution Design and Development (Hard Skills)
• Documentation Skills (Hard Skills)
• Project Management (Hard Skills)

Job Summary:

• Develop novel AI models that autonomously discover the correlations between sensed data and medically relevant conditions (i.e., detecting specific diseases, predicting timing of future events).
• Work with internal teams such as Software, Hardware and Systems to ensure that these algorithms can be practically deployed with high accuracy
• Use minimal resources and maximum ease of use in existing and future products
• Design train and verify machine learning models
• Quickly prototype new ideas/technologies to create proof of concept and demos
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Effectively communicate with Engineering and Marketing teams
• Delivering high quality software design, documentation and implementation
• Designs solutions and applies BA techniques related to management science, statistical analysis, explanatory modeling, predictive modeling, and fact-based management to drive human or automated decision making.

Skills on Resume:

• AI Model Development (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Resource Optimization (Hard Skills)
• Machine Learning Model Development (Hard Skills)
• Rapid Prototyping (Hard Skills)
• Innovation and Patent Generation (Soft Skills)
• Effective Communication (Soft Skills)
• Software Engineering Best Practices (Hard Skills)

Job Summary:

• Understand given problem statements and analyze related data sets
• Identify solution design options, build models and conduct POCs
• Collect model performance data and compare with benchmarks
• Present effective data visualizations and feasible options along with recommendations to senior management
• Develop integration with business applications
• Collaborate with business analysts, application developers, QA and configuration engineers for validation and deployments
• Estimate infrastructure needs for cloud deployments
• Create technical documentation for work products delivered
• Designs solutions and applies BA methods to answer questions like why is this happening, what if these trends continue, what will happen next (predict), and what is the best outcome that can happen (optimize).
• Designs solutions and implements knowledge base (KB) technologies used to store complex structured and unstructured information used by an enterprise’s IT system.

Skills on Resume:

• Data Analysis (Hard Skills)
• Solution Design (Hard Skills)
• Performance Evaluation (Hard Skills)
• Data Visualization (Soft Skills)
• Integration (Soft Skills)
• Cloud Infrastructure Estimation (Hard Skills)
• Technical Documentation (Hard Skills)
• Business Analysis (Hard Skills)

Job Summary:

• Participate in design and development of new innovative products
• Innovate current technology: collect, monitor, visualize, analyze and model data and algorithms in an industrial environment to optimize production processes and develop innovative methods
• Acquire and validate knowledge from structured and unstructured data using machine learning techniques
• Design and implement software solutions based on requirements to optimize processes
• Design and develop ML models for various instruments
• Design and implement algorithms for analysis on a wide range of systems
• Design and build continuous training processes for ML models on internal and external data
• Collaborate with cross-functional teams to develop best-in-class ML solutions
• Collaborate with other software engineering teams to incorporate algorithms into commercial software and hardware products
• Innovate and invent new solutions to solve challenging problems in order to improve system performance and efficiency

Skills on Resume:

• Product Development (Hard Skills)
• Tech Innovation (Hard Skills)
• Machine Learning (Hard Skills)
• Software Engineering (Hard Skills)
• ML Model Development (Hard Skills)
• Algorithm Design (Hard Skills)
• Continuous Training (Hard Skills)
• Collaboration (Soft Skills)

Job Summary:

• Read scientific papers, summarize and compare them. 
• Implement, compare and evaluate existing algorithms. 
• Development of Proofs of Concepts from architecture to pilot. 
• Execute Data Science projects end-to-end. 
• Deployment of services (docker, nginx, flask) 
• Teach hands-on exercises in DS/ML in the lifelong learning program 
• Guide interns, bachelor/master students 
• Developing and maintaining proof-of-concept software, demos of software
• Ensuring consistent progress toward projects' goals
• Designing architectures to achieve project goals
• Contribute expertise to writing government proposals
• Programming on research projects in multiple high-level languages (e.g., Python, Java, LISP, C++)

Skills on Resume:

• Research Review & Summary (Hard Skills)
• Algorithm Implementation (Hard Skills)
• Proof of Concept Development (Hard Skills)
• Data Science Project Execution (Hard Skills)
• Service Deployment (Hard Skills)
• Teaching & Mentoring (Soft Skills)
• Software Development (Hard Skills)
• Project Management (Soft Skills)

Job Summary:

• Providing the software engineering and best practices around the end-to-end production of an AI model application
• Bringing the team’s AI models to life by working with Engineering and Product teams to develop real-time customer-facing products which are empowered by the models
• Building integrations between model serving endpoints with front-end web and mobile applications and services that consume the model output
• Integrate between the model training/inference jobs and databases, including real-time data streams
• Demonstrating the value of the AI team’s work to the business by building POCs and prototypes
• Building scalable live A/B testing architecture and implementation around model deployment so that can rapidly and continuously experiment
• Supporting what AI team build, implementing robust testing, monitoring, logging, and alert
• Analyze customer requirements – Functional and Non-Functional
• Develop components and integrations for NLP applications, specifically for conversational AI (voice and text).
• Collaborating with cross functional teams to define, design and build new chatbots/voice bot
• Manage production support issues, complete work within defined SLA

Skills on Resume:

• Software Engineering (Hard Skills)
• AI Model Deployment (Hard Skills)
• Integration (Hard Skills)
• Prototyping (Hard Skills)
• A/B Testing (Hard Skills)
• Testing and Monitoring (Hard Skills)
• Requirements Analysis (Hard Skills)
• Collaboration (Soft Skills)

Job Summary:

• Study and develop state-of-the-art natural language processing, computer vision and deep learning technologies which can be applied to structured and unstructured data.
• Feasibility studies, fast prototyping and technological transfer of new technologies.
• Analysis, design and implementation of new language processing, computer vision and deep learning architectures and algorithms to solve real-world problems.
• Generate patents for newly developed ideas and technologies.
• Participate in joint research projects with Research Centres, European consortiums and Companies.
• Know about Natural Language Processing (NLP), Digital Monitoring, Artificial Intelligence Operations (AIOps), Machine Learning (ML), Knowledge Management (KM), Knowledge Base (KB), Data Analytics (DA), Business Analytics (BA), Business Intelligence (BI), Cloud Integration, Software as a Service (SaaS), online analytical processing (OLAP).
• Performing applying the following technologies or principles for Enterprise IT Systems.
• Know about AI programming languages and tools, architectures and data modeling.
• Experience with enterprise data management, migration, and conversion.
• Uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured.

Skills on Resume:

• NLP & AI Expertise (Hard Skills)
• Feasibility Assessment & Prototyping (Hard Skills)
• Architectural Design (Hard Skills)
• Patent Development (Hard Skills)
• Collaboration & Research (Soft Skills)
• Tech Proficiency (Hard Skills)
• AI Programming & Modeling (Hard Skills)
• Data Management (Hard Skills)

Job Summary:

• Design and develop ML models for various software applications
• Design and implement algorithms for analysis on a wide range of systems
• Design and build continuous training processes for ML models on internal and external data
• Write exceptional code, ensure the quality of code and write documentation
• Lead and perform data analysis, troubleshooting and debug applications
• Collaborate with cross-functional teams to develop best-in-class ML solutions
• Collaborate with other software engineering teams to incorporate algorithms into commercial software products
• Innovate and invent new solutions to solve challenging problems in order to improve system performance and efficiency
• Demonstrated experience in successful software projects
• Uses statistics, data analysis, machine learning and related methods to understand and analyse actual phenomena with data.
• Applies principles of management and utilization of resources resulting in successful data-science and big-data projects.

Skills on Resume:

• ML Model Development (Hard Skills)
• Algorithm Design (Hard Skills)
• Continuous Training (Hard Skills)
• Software Development (Hard Skills)
• Data Analysis (Hard Skills)
• Collaboration (Soft Skills)
• Software Integration (Hard Skills)
• Innovation (Soft Skills)

Job Summary:

• Lead developer for models on AI Technology Platforms and ensure the Models meet functional and non-functional requirements. 
• Make sure the model execution performs as expected and 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)
• Development standards and methodologies in order to 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.
• 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 so as to guarantee a fluent execution of the product roadmap/project.

Skills on Resume:

• AI Model Development (Hard Skills)
• Requirement Analysis (Hard Skills)
• Model Performance Optimization (Hard Skills)
• Agile Methodology (Hard Skills)
• Development Standards (Hard Skills)
• Consultancy and Process Improvement (Soft Skills)
• Communication and Collaboration (Soft Skills)
• Programming Guidance (Hard Skills)

Job Summary:

• Work on innovative research projects with industry/academic partners on topics such as continuous improvement and validation of AI models for e-mobility and automated driving
• Generate ideas for AI-driven innovative products, digital services, and business models, and determine feasibility and value added in mixed teams with business and engineering experts
• Support (embedded) SW developers in designing, building, deploying, testing, validating, and maintaining AI algorithms and ML models in Schaeffler mechatronic systems and products
• Design and challenge future proof functional solutions that take into account the global context of all different business lines in order to have a solid basis for future implementations.
• Update and maintain professional knowledge and demonstrate up-to-date expertise on the company processes within the functional domain in order to do profound research and recommend solutions and improvements for the benefit of the organization.
• Implement the requirements and features, set and report on deliverables and timelines.
• Adhere to best practices for development within the Agile framework
• Ensure all projects are current and in source control.
• Provide inputs and proof of concept work to demonstrate The Art of the Possible and help stakeholders understand what can be achieved using these technologies
• Track and monitor AI / ML model performance over time to ensure customer satisfaction
• Coordinate with relevant contractors/partners to ensure best in class architectures and designs

Skills on Resume:

• Research (Hard Skills)
• Ideation (Hard Skills)
• AI Development (Hard Skills)
• Strategic Planning (Hard Skills)
• Continuous Learning (Hard Skills)
• Project Management (Hard Skills)
• Version Control (Hard Skills)
• Communication (Soft Skills)