AI/ML Consultant

VDart Inc; Irvine (CA); Híbrido; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

VDart Inc. is seeking an experienced AIML Engineer to drive design, development, deployment and scaling of AI/ML solutions across enterprise applications in Irvine, CA. The role emphasizes ML, DL, NLP, Generative AI, MLOps, and cloud-based AI platforms.

You will lead technical teams, mentor junior members, and collaborate with stakeholders to deliver AI-driven business outcomes while ensuring governance and security compliance. This hybrid role requires about three days on-site per week.

Formación

• Experience designing and deploying AIML/ML solutions across enterprise apps.
• Hands-on with ML/DL, NLP, CV and predictive analytics.
• Strong in MLOps, model governance and AI governance.

Responsabilidades

• End-to-end AIML solution development from problem definition to production deployment.
• Design, develop and optimize ML/DL and Generative AI models.
• Build scalable AI applications using LLMs, RAG, vector databases, and agent frameworks.
• Collaborate with stakeholders to translate requirements into AI solutions.
• Drive AI architecture decisions, model selection and feature engineering.
• Establish MLOps practices for deployment, monitoring and retraining.

Conocimientos

ML algorithms

Deep Learning

NLP

Vector Databases

Prompt Engineering

RAG

AI Architecture

Leadership

Model Evaluation

Herramientas

TensorFlow

PyTorch

Keras

OpenAI

Azure OpenAI

LangChain

Pinecone

Docker

Kubernetes

Descripción del empleo

Job Title: AI/ML Consultant.

Location: Irvine, CA (3 days onsite/week)

Duration: FTE.

Job Description:

We are seeking an experienced AIML Engineer to drive the design development deployment and scaling of Artificial Intelligence and Machine Learning solutions across enterprise applications. The ideal candidate will possess strong expertise in Machine Learning Generative AI MLOps and Cloud based AI platforms along with proven experience leading technical teams and delivering business focused AI solutions.

Key Responsibilities

• End to end AIML solution development from problem definition to production deployment
• Design develop and optimize Machine Learning Deep Learning and Generative AI models
• Build scalable AI applications utilizing LLMs RAG architectures Vector Databases and Agentic AI frameworks
• Collaborate with business stakeholders to translate requirements into AI driven solutions
• Drive AI architecture decisions model selection feature engineering and performance optimization
• Establish MLOps practices for model deployment monitoring retraining and governance
• Mentor AIML engineers data scientists and junior team members
• Ensure adherence to Responsible AI model governance privacy and security standards
• Lead technical discussions client engagements estimations and solution proposals
• Stay current with emerging AI technologies and recommend innovation opportunities

Required Technical Skills:

AIML Data Science

• Machine Learning algorithms Classification Regression Clustering Forecasting
• Deep Learning using TensorFlow PyTorch or Keras
• NLP Computer Vision and Predictive Analytics
• Feature Engineering and Model Optimization

Generative AI

• Handson experience with OpenAI Azure OpenAI Claude Gemini or similar models
• Prompt Engineering
• Retrieval Augmented Generation RAG
• Embeddings and Semantic Search
• Vector Databases Pinecone Chroma FAISS Weaviate
• LangChain LangGraph AutoGen CrewAI or equivalent frameworks
• AI Agents and Agent Orchestration

MLOps Cloud

• ML lifecycle management and model monitoring
• CICD pipelines for AI applications
• Azure ML AWS SageMaker Databricks or Vertex AI
• Docker Kubernetes GitHub Actions Jenkins
• Model deployment version control and observability

Programming Data Engineering

• Python Mandatory
• SQL and NoSQL Databases
• Pandas NumPy ScikitLearn
• Spark, PySpark preferred
• API development using FastAPI or Flask

Leadership Expectations:

• Lead and mentor teams of AIML engineers and data scientists
• Conduct technical reviews and solution governance
• Drive best practices for AI development and deployment
• Manage stakeholder expectations and project delivery
• Support presales estimations and solution workshops