Gen AI Developer (Experience 8 - 15 Years)

Volto Consulting; Bellevue (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Volto Consulting is seeking a Gen AI Developer with 8-15 years of experience to work across Bellevue, WA and Richardson/Plano, TX. You will design, fine-tune, and deploy generative AI models, including LLMs and diffusion-type systems, while building data pipelines and MLOps capabilities.

You will collaborate with product and engineering teams, optimize models for performance and cost, and stay ahead of the latest Gen AI research.

Qualifications

• Experience in machine learning or data science.
• Hands-on with generative models and LLMs.
• Proficiency with ML frameworks (TensorFlow, PyTorch, JAX).
• Familiarity with cloud environments (AWS Sagemaker, Azure ML, GCP).
• Strong Python programming skills and related libraries.
• Experience with RAG and vector databases.

Responsibilities

• Design, fine-tune, and deploy generative AI models for applications.
• Train and optimize large language models for NLP tasks.
• Develop robust data pipelines for model training and inference.
• Deploy ML models in production with TensorFlow/PyTorch/Hugging Face.
• Optimize performance, scalability, and cost on cloud platforms.
• Collaborate with product, data, and software teams to align AI solutions.
• Stay updated with Gen AI research and deploy retraining/versioning.
• Ensure systems meet ethics and compliance requirements.

Skills

Machine Learning

Generative Models

LLMs

ML Frameworks

Cloud Platforms

Python

NLP

CV/Multimodal

Hugging Face

LangChain

NVIDIA BioNeMo

Docker

Kubernetes

CI/CD

RAG

Vector Databases

Tools

TensorFlow

PyTorch

JAX

AWS Sagemaker

Azure ML

GCP AI Platform

Docker

Kubernetes

Hugging Face Transformers

Job description

Gen AI Developer
(Experience 8 - 15 Years)
(Bellevue, Seattle, Everett, Renton, WA )/ (Richardson, Plano, Dallas, TX)
Fulltime - Need only Independent VISA Holders

Job Description

Must Have Technical/Functional Skills

Experience in machine learning, data science, or related fields.
Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).
Strong Programming Skills In Python (preferred) Or Similar Languages.
Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment.
Understanding of NLP, computer vision, or multimodal AI techniques.
Strong problem-solving skills and a passion for AI-driven innovation.
Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Experience

Experience in machine learning, data science, or related fields.
Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).

Responsibilities

• Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
• Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI.
• Data Pipeline Management: Develop and maintain robust data pipelines for model training and inference.
• Integration and Scalability: Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face.
• Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, GCP).
• Collaboration and Innovation: Work with product managers, data engineers, and software developers to align AI solutions with business objectives.
• Stay updated with the latest research and advancements in Gen AI and ML.
• System Monitoring and Maintenance: Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
• Ensure systems meet ethical, privacy, and compliance standards.