AI Engineer Resume
Objective : As an AI Engineer, designed, developed, and validated AI and ML products and systems within the scope of DIHI projects, and acted as a liaison between product managers, data scientists, data engineers, and clinician users to determine the requirements for novel AI/ML models.
Skills : Programming Languages, Machine Learning Algorithms, Algorithm Development, Statistical Analysis, Big Data Technologies
Description :
- Developed and updated monitoring systems to ensure that any implemented machine learning model continues to perform as specified.
- Reviewed code and performed evaluations of previously built machine learning models before integration into technical infrastructure.
- Maintained contemporary knowledge of advances in AI and ML to ensure that emerging technologies are incorporated into DIHI development efforts
- Evaluated, monitored, maintained, and oversaw implemented machine learning systems.
- Worked with clinical and operational leaders to define relevant outcome measures to demonstrate the impact of AI integrated into care.
- Designed and conducted evaluations of AI and Generative AI products to identify strengths and weaknesses of model integrations and improve practices across DIHI.
- Collaborated with data engineering and solution architect team members to optimize technology infrastructure for rapid implementation of AI solutions.
- Defined model performance measures related to safety, efficacy, equity, and fairness to monitor and measure throughout the AI solution lifecycle and standard reporting practices to diverse stakeholders.
Experience
2-5 Years
Level
Executive
Education
MSc Robotics
AI Engineer Resume
Headline : As an AI Engineer, worked directly with the data science lead, quantitative science trainees, and clinical trainees who are involved in model development and validation, and developed utilities and frameworks to standardize and enhance the development and validation of machine learning systems.
Skills : Data Analysis, Frameworks, Computer Vision, Cloud Computing, Model Deployment
Description :
- Coordinated with R, Tableau, or other data visualization/analytical software.
- Collaborated with cross-functional teams to understand AI needs, driving significant business benefits through the integration of AI capabilities and data analytics.
- Researched and developed innovative statistical models and AI solutions to solve complex problems across various business domains.
- Communicated findings and solutions clearly to all stakeholders, maintaining high ethical standards in data usage and AI applications.
- Stayed abreast of the latest developments in data science, AI, and related technologies to enable efficient business processes and more effective problem-solving strategies.
- Led the development and deployment of advanced data products and AI solutions.
- Designed AI models to address client needs, ensuring the integration of AI solutions into business processes for optimized performance.
Experience
5-7 Years
Level
Executive
Education
BSc Math
AI Engineer Resume
Objective : As an AI Engineer, engaged diverse stakeholders in requirements gathering, technology design, development, and validation to build trust and accountability throughout the product development lifecycle, assisted with the diffusion and dissemination of AI/ ML solutions and best practices.
Skills : Big Data Technologies, Cloud Computing, Computer Vision, Data Analysis, Python, TensorFlow, Data Preprocessing
Description :
- Identified opportunities to enhance the implementation and maintenance of AI/ML systems, including automated reporting and notification to detect changes in model performance or unanticipated adverse events.
- Developed utilities to enable comparison of multiple model versions and rapid updating and evaluation of new model versions stakeholder engagement and requirements gathering.
- Worked directly with clinical and operational stakeholders to identify requirements, and map clinical and operational workflows.
- Engaged diverse stakeholders in the design, validation, and evaluation of machine learning models to build trust
- Diffused and disseminated machine learning products.
- Participated in dissemination efforts via academic writing, conference presentations, and internal and external communications related to DIHI projects.
- Computed statistics with experience developing, evaluating, and implementing models.
Experience
2-5 Years
Level
Executive
Education
BSc Math
AI Engineer Resume
Headline : As an AI Engineer, developed, evaluated, and implemented AI and machine learning models, and developed and maintained AI solution evaluation, monitoring, maintenance, and oversight frameworks and structures for DIHI innovation projects.
Skills : Natural Language Processing, Problem-Solving, Reinforcement Learning, Neural Networks, TensorFlow, PyTorch
Description :
- Developed with experience in back-end and front-end development a plus.
- Well-trained with clinical, EHR, and/or administrative health data required.
- Worked closely with clinicians and researchers across biomedical research disciplines developing solutions for use in clinical care.
- Documented and analyzed workflow and clinical processes.
- Created data solutions to support business processes.
- Educated software development, AI and machine learning, and technology infrastructure.
- Used LLMs and generative AI to develop software solutions in healthcare.
Experience
5-7 Years
Level
Executive
Education
MSc CI
Junior AI Engineer Resume
Objective : As a Junior AI Engineer, assisted with the curation and quality assurance of data across diverse clinical and operational data sources and will collaborate closely with data engineers and solution architects to ensure that machine learning models are effectively integrated into clinical care.
Skills : Communication, Teamwork, Data Analysis, Python, TensorFlow, Reinforcement Learning
Description :
- Developed frameworks to support the development, validation, impact assessment, and maintenance of data-driven software applications.
- Designed patterns, including microservice design or edge computing.
- Implemented computer vision techniques for object detection and tracking in video streams.
- Participated in code reviews and contributed to best practices for AI model development.
- Evaluated and selected appropriate machine learning frameworks and tools for specific projects.
- Implemented AI-driven solutions for anomaly detection in large datasets to enhance operational efficiency.
- Utilized cloud platforms for deploying AI models and managing computational resources efficiently.
Experience
2-5 Years
Level
Junior
Education
MSc Robotics
AI Engineer Resume
Objective : As an AI Engineer, maintained comprehensive and contemporary knowledge of AI, ML, and statistical methods and best practices, with a focus on the development and validation of products and systems in the health setting, and reported directly to the DIHI Program Director.
Skills : Critical Thinking, Continuous Learning, Neural Networks, Reinforcement Learning
Description :
- Worked in deep learning, computer vision, NLP, or chatbot development.
- Informed with modern Cloud computing technologies, including Docker and Kubernetes.
- Well-trained with embedded systems programming in C, C++, or Rust.
- Adapted with frameworks such as Huggingface, LangChain, AutoGPT, or AgentGPT.
- Savvied with GPU programming, including CUDA or RAPIDs.
- Gathered requirements from customers and led Agile teams.
- Seasoned in the field of artificial intelligence (AI) with an in-depth knowledge of AI architecture and development.
Experience
2-5 Years
Level
Executive
Education
MSc Cyber
Associate AI Engineer Resume
Objective : As an Associate AI Engineer, possess expertise in computer science, statistics ML, and generative AI to effectively develop solutions to improve care at Duke Health. Worked closely with business unit leaders and compliance and regulatory support staff, and success in carrying out responsibilities will be strengthened by a strong interest in healthcare business, ethics, law, and policy.
Skills : Programming Language, Mathematics and Statistics, Data Analysis, Python
Description :
- Translated highly technical concepts into policy and governance documents.
- Collaborated with various IC Partners on policy and governance.
- Followed subfields, or similar subfields AI engineering, data engineering, or emerging technology.
- Forward-leaned, and recommended necessary improvements to achieve the customer’s vision.
- Created documentation around AI governance for existing and emerging AI technology.
- Collaborated with various Intel Community (IC) partners including non-DoD IC elements on information sharing.
- Created high-level and highly technical documents on AI Policy and governance.
Experience
0-2 Years
Level
Entry Level
Education
MSc Robotics
Assistant AI Engineer Resume
Objective : As an Assistant AI Engineer, utilized computing and statistics expertise to both develop AI-based solutions and assist in the design and conduct of evaluation studies to measure the effect of algorithms integrated into clinical care, helped teach interns and trainees involved in DIHI workforce development programs.
Skills : Machine Learning Algorithms, Data Handling, Statistical Analysis, Big Data Technologies
Description :
- Followed fields AI development, AI architecture, AI policy, data engineering, AI legal policy and emerging technology, data architecture, and/or library science.
- Trained with AI Assurance, AI security, and/or AI Privacy.
- Solved problems using mechanistic, bottom-up thinking and statistical, top-down approaches.
- Developed novel mechanisms by which to optimize the supply chain.
- Built and improved the intelligence behind our logistics simulations and market optimization algorithms.
- Implemented and shipped models to predict the demand for commodities at nodes in a logistics network, the availability of supply, estimated arrival times, delays, and more.
- Designed and optimized deep learning architectures for image recognition tasks, achieving high accuracy rates.
Experience
0-2 Years
Level
Fresher
Education
MSc Robotics
Senior AI Engineer Resume
Summary : As an Senior AI Engineer, participated in activities throughout the machine learning product lifecycle, including initial design, development, internal and external validation, temporal and clinical validation, impact and outcomes analyses, updating, and maintenance.
Skills : Frameworks and Libraries, Big Data Technologies, Data Analysis, Python, TensorFlow
Description :
- Built solutions involving algorithms, optimization, reinforcement learning, artificial neural networks, discrete event simulation, and case-based reasoning.
- Executed with little oversight and solved problems quickly.
- Designed, developed, and implemented machine learning and deep learning models to address various challenges and build out AI functionality for our clients.
- Trained, validated, and fine-tuned AI models using state-of-the-art techniques and libraries, and assess their performance using appropriate metrics.
- Deployed AI models into production environments, collaborated with DevOps and IT teams to ensure seamless integration, and monitored model performance in real time.
- Developed custom AI tools and libraries to streamline machine learning workflows.
- Engaged in continuous learning to stay updated with the latest advancements in AI technologies.
Experience
7-10 Years
Level
Consultant
Education
MSc Robotics
AI Engineer Resume
Objective : As an AI Engineer, worked closely with the DIHI Program Director to identify and pursue opportunities to leverage emerging statistics and machine learning methods and technologies to drive impact within Duke Health.
Skills : Natural Language Processing, Computer Vision, Data Analysis, Python, TensorFlow, Scikit-learn
Description :
- Stayed up-to-date with the latest advancements in AI and financial technology, and apply innovative solutions to solve complex HR and Payroll problems.
- Led the creation of data analytics capability for identifying key performance drivers and action plans to continuously improve performance and competitiveness.
- Collaborated with cross-functional teams, including data scientists, software developers, and business analysts, to drive AI initiatives and projects.
- Maintained comprehensive documentation of AI models, data pipelines, and processes.
- Played a crucial role in developing and implementing artificial intelligence solutions that enhance our internal corporate services, and client-facing applications, and improve our customer experiences.
- Developed and deployed machine learning and deep learning models, preferably in a financial or fintech setting.
- Developed Software Solutions, trained in cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) are advantageous.
Experience
2-5 Years
Level
Executive
Education
PhD ML
