Flow ยท 12 hours ago
Senior Deep Learning Engineer Intern (December 2024 Start)
United States
Internship
Remote
Intern, Entry, Mid, Senior Level
4+ years exp
Start in 2024 Winter
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Responsibilities
Design, develop, and implement novel AI models using TensorFlow, Neural Networks, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Chatbots, and Deep Reinforcement Learning.
Develop and optimize deep learning algorithms tailored to specific project needs.
Semantic search, similarity search, cosine similarity.
Advanced feature engineering.
Conduct AI training, fine-tuning models for high accuracy, and performance optimization.
Flawlessly integrate AI models with back-end systems using Django and related technologies.
Develop and maintain APIs for AI services, ensuring they are robust, scalable, and efficient.
Collaborate with back-end engineers to ensure smooth AI and back-end integration.
Deploy AI models to cloud platforms, configuring cloud infrastructure for optimal performance in live production environments.
Manage cloud infrastructure services for deployment, including server setup, networking, and security.
Ensure that AI models are scalable, secure, and maintainable in a cloud environment.
Implement QA practices, including unit testing, integration testing, regression testing, and API testing, to ensure the reliability of AI models and their integrations.
Work closely with cross-functional teams, including data scientists, engineers, and product managers, to develop innovative AI solutions.
Participate in brainstorming sessions and contribute to the evolution of AI strategies within the organization.
Qualification
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Required
Recently graduated with a Master's degree in Computer Science or Artificial Intelligence.
4+ years of professional industry experience in AI engineering, with a focus on novel AI architectures, novel AI modeling, deep learning, vector databases, semantic search, feature engineering, and back-end engineering.
Expert with Django for back-end engineering, AI development, AI pipelines, and API integration.
Expert in AI frameworks such as TensorFlow, PyTorch, and Keras.
Expert in Deep Learning, Neural Networks, NLP, LLMs, vector databases, vector data, vectorizer models, model fine-tuning, and Deep Reinforcement Learning.
Expert in Retrieval Augmented Generation models (RAG-based models).
Expert in advanced feature engineering.
Expert with cloud platforms for deploying AI models in live production environments.
Expert with QA practices, including unit testing, integration testing, regression testing, and API testing.
Must be able to work remotely and dedicate a minimum of 30 hours per week.
Benefits
Remote native; Location freedom
Professional industry experience in the SaaS and AI industry
Creative freedom
Potential to convert into a full-time position
Company
Flow
Flow Global Software Technologies, LLC., operating in the Information Technology (IT) sector, is a cutting-edge high-tech enterprise AI company that engages in the design, engineering, marketing, sales, and 5-star support of a cloud-based enterprise AI platform with patent pending artificial intelligence, deep learning, and other core proprietary technologies awaiting patent approval.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase
