AI Engineer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Artificial Intelligence
Cloud Computing
Continuous Delivery
Continuous Integration
Database
Deep Learning
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Natural Language Processing
Optimization
PostgreSQL
Python
TensorFlow
Vector Databases
Vertex

Job Details

JOB: AI Engineer

EXPERIENCE : 7-12 Years

LOCATION: REMOTE

SKILLS: Implement and manage vector databases to enhance AI-driven retrieval efficiency.
Ensure seamless integration of AI solutions with Google Cloud Platform services like BigQuery, Airflow, and cloud-based tools.
Cloud Platforms: Google Cloud Platform (Google Cloud Platform), BigQuery, Vertex AI, AI Platform
Databases: Vector Databases (e.g., Pinecone, FAISS, Weaviate), PostgreSQL
Cost Optimization: Cloud resource optimization strategies, serverless computing
Strong expertise in RAG models and Gemini AI for AI-driven applications.
Hands-on experience with vector databases and AI-based retrieval systems.
Proficiency in Python, TensorFlow, and other AI/ML frameworks.
Solid understanding of machine learning, deep learning, and NLP concepts.
Experience working with Google Cloud Platform services, including BigQuery, Airflow, and cloud optimization techniques.
Experience in LLMs (Large Language Models) and generative AI frameworks.
Familiarity with MLOps, CI/CD pipelines, and cloud-based model deployment.
Previous experience in optimizing AI workloads on Google Cloud Platform and other cloud platforms.

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