Lead Software Engineer AIML

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

As Lead Security Engineer you will design and optimize large-scale AI/ML platforms and LLM-powered applications.

Key Responsibilities

Architect and deploy state-of-the-art LLM architectures (e.g. GPT LLaMA Mixtral) using techniques like LoRA and RLHF for domain-specific tasks.
Develop advanced prompt engineering strategies and orchestrate LLM-powered applications using frameworks like LangChain or LlamaIndex.
Design and manage data pipelines for collection cleaning and preparation of high-quality datasets.
Implement Retrieval-Augmented Generation (RAG) systems managing vector databases and embedding models.
Build and maintain scalable secure inference pipelines while continuously monitoring for model drift.
Apply optimization techniques such as quantization and pruning to improve model efficiency.
Ensure all AI solutions meet cybersecurity standards and compliance requirements.
Stay current with advancements in NLP transformer architectures and generative AI research.

Required Skills

Formal Training or certification with 5 years of experience in high-impact AI capabilities for enterprise environments.
Advanced proficiency in Python and deep learning frameworks (PyTorch TensorFlow JAX).
Strong understanding of transformer architectures LLMs and Hugging Face ecosystem.
Hands-on experience with frameworks and libraries including TensorFlow PyTorch BERT/LLMs Hugging Face OpenCV scikit-learn SKLearn Pandas Flask and React.
Experience with cloud-based ML platforms (AWS Sage Maker Google Vertex AI Azure ML) containerization (Docker) and orchestration (Kubernetes).
Hands-on experience designing and deploying RAG systems using Lang Chain Llama Index Pinecone or Faiss.
Expertise in secure model deployment access control and data governance.
Excellent leadership communication and collaboration skills.

Preferred Skills

Experience with multi-modal AI integration and advanced optimization techniques.
Familiarity with CI/CD pipelines automation tools and frontend frameworks.
Certifications in AI/ML cloud platforms Kubernetes or cybersecurity.
Advanced degree (masters or PhD) in Computer Science AI Data Science or related field.
Exposure to regulated industries and compliance frameworks.

Required Experience:

DescriptionAs Lead Security Engineer you will design and optimize large-scale AI/ML platforms and LLM-powered applications.Key ResponsibilitiesArchitect and deploy state-of-the-art LLM architectures (e.g. GPT LLaMA Mixtral) using techniques like LoRA and RLHF for domain-specific tasks.Develop advanc...

Description

As Lead Security Engineer you will design and optimize large-scale AI/ML platforms and LLM-powered applications.

Key Responsibilities

Architect and deploy state-of-the-art LLM architectures (e.g. GPT LLaMA Mixtral) using techniques like LoRA and RLHF for domain-specific tasks.
Develop advanced prompt engineering strategies and orchestrate LLM-powered applications using frameworks like LangChain or LlamaIndex.
Design and manage data pipelines for collection cleaning and preparation of high-quality datasets.
Implement Retrieval-Augmented Generation (RAG) systems managing vector databases and embedding models.
Build and maintain scalable secure inference pipelines while continuously monitoring for model drift.
Apply optimization techniques such as quantization and pruning to improve model efficiency.
Ensure all AI solutions meet cybersecurity standards and compliance requirements.
Stay current with advancements in NLP transformer architectures and generative AI research.

Required Skills

Formal Training or certification with 5 years of experience in high-impact AI capabilities for enterprise environments.
Advanced proficiency in Python and deep learning frameworks (PyTorch TensorFlow JAX).
Strong understanding of transformer architectures LLMs and Hugging Face ecosystem.
Hands-on experience with frameworks and libraries including TensorFlow PyTorch BERT/LLMs Hugging Face OpenCV scikit-learn SKLearn Pandas Flask and React.
Experience with cloud-based ML platforms (AWS Sage Maker Google Vertex AI Azure ML) containerization (Docker) and orchestration (Kubernetes).
Hands-on experience designing and deploying RAG systems using Lang Chain Llama Index Pinecone or Faiss.
Expertise in secure model deployment access control and data governance.
Excellent leadership communication and collaboration skills.

Preferred Skills

Experience with multi-modal AI integration and advanced optimization techniques.
Familiarity with CI/CD pipelines automation tools and frontend frameworks.
Certifications in AI/ML cloud platforms Kubernetes or cybersecurity.
Advanced degree (masters or PhD) in Computer Science AI Data Science or related field.
Exposure to regulated industries and compliance frameworks.

Required Experience:

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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