Total 152 Education / Training job vacancies in Remote Phoenix AZ

REQUIREMENTS:

• Experience: 5+ Years
• Proven experience in generative AI, with a focus on LangChain, RAG (Retrieval-Augmented Generation) techniques.
• Proficiency with OpenAI models and frameworks (e.g., GPT-3, GPT-4, Codex).
• Strong background in working with open-source AI models and tools (e.g., TensorFlow and Hugging Face).
• Solid understanding of machine learning algorithms, natural language processing, and neural network architectures.
• Experience with any cloud platforms and services (e.g., AWS, Google Cloud, Azure) for AI model deployment and scaling.
• Proficient in programming languages such as Python, with experience in developing and deploying AI solutions.
• Excellent problem-solving skills, with a creative and analytical mindset.
• Strong communication and teamwork skills.
• Experience with AI ethics and responsible AI practices.
• Familiarity with other generative AI techniques such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
• Contributions to AI research publications or open-source projects.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 13+ Years
• Hands-on years of professional experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
• Strong expertise in client interaction and the ability to understand and address client needs effectively.
• Advanced knowledge of cloud architecture, particularly on Azure.
• Proficiency in machine learning on Azure, including the use of Azure ML services.
• Expertise in NLP concepts and techniques, such as tokenization, word embeddings, sequence modeling, attention mechanisms, and transfer learning.
• Strong programming skills in Python and proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX, as well as machine learning libraries like scikit-learn.
• Practical experience with Generative AI frameworks, including GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG).
• Strong understanding of MLOps principles and tools, with experience in implementing CI/CD pipelines, model monitoring, and automated deployment in production environments.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
• Extensive experience with computer vision algorithms and techniques, and familiarity with frameworks such as OpenCV, TensorFlow, or PyTorch for image processing and analysis.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 5+ Years
• Proficiency in ChatGPT and other large language models.
• Expertise in neural networks and traditional machine learning algorithms.
• Advanced knowledge of machine learning algorithms applicable to AGI, including meta-learning, transfer learning, and neuro-evolution.
• Experience in deep learning architectures, such as RNNs, CNNs, and attention mechanisms.
• Proficiency in reinforcement learning algorithms and techniques.
• Understanding of cognitive science principles and cognitive modeling.
• Experience in developing multi-agent systems.
• Familiarity with symbolic AI techniques.
• Knowledge of AGI safety and alignment principles.
• Experience with AGI development frameworks like OpenAI’s GPT.
• Understanding of meta-learning and self-improvement techniques.
• Awareness of ethical considerations in AGI development.
• Knowledge of AGI governance and policy.
• Experience in human-AI collaboration.
• Ability to develop AGI evaluation metrics and benchmarks.
• Track record of AGI research and innovation.
• Strong foresight and strategic thinking skills.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.