AI Developer
Aziro Technologies Llc
Palo Alto, United States of America
3 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Palo Alto, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Program Optimization
Computer Programming
Continuous Integration
Data Governance
Data Security
Data Structures
Python
Machine Learning
Natural Language Processing
Performance Tuning
TensorFlow
Unstructured Data
Web Services
Data Processing
Google Cloud Platform
Chatbots
PyTorch
Retrieval-Augmented Generation
Large Language Models
Spark
Model Validation
Pandas
Scikit Learn
Kubernetes
Data Analytics
Machine Learning Operations
REST
Software Version Control
Docker
Microservices
Job description
We are seeking an experienced AI Developer / Machine Learning Engineer to join our client, in Palo Alto. This role focuses on building intelligent systems that enhance data security, automation, and analytics capabilities across enterprise platforms., * Design, develop, and deploy AI/ML models for real-world enterprise use cases
- Build and optimize machine learning pipelines for large-scale data processing
- Develop LLM-based applications (e.g., chatbots, copilots, automation tools)
- Work with structured and unstructured data to deliver predictive insights and anomaly detection
- Collaborate with data engineers and platform teams to integrate AI models into production systems
- Implement model evaluation, monitoring, and performance tuning
- Develop APIs and services to expose AI capabilities across internal platforms
- Ensure scalability, reliability, and security of AI solutions
Requirements
- 5+ years of experience in AI/ML development or Data Science
- Strong programming skills in Python
- Hands-on experience with ML frameworks:
- TensorFlow / PyTorch / Scikit-learn
- Experience with LLMs (Large Language Models) and NLP techniques
- Experience with LangChain / vector databases / embeddings (nice to have)
- Strong understanding of data structures, algorithms, and model optimization
- Experience working with cloud platforms (AWS / Azure / Google Cloud Platform)
- Familiarity with REST APIs and microservices architecture
- Experience with data processing tools (Spark, Pandas, etc.)
- Preferred Qualifications
- Experience working in data security / cybersecurity domain
- Knowledge of MLOps (CI/CD for ML models, model versioning, monitoring)
- Exposure to RAG (Retrieval-Augmented Generation) architectures
- Experience with Kubernetes / Docker
- Prior experience in enterprise SaaS environments
Key Traits
- Strong problem-solving and analytical mindset
- Ability to work in a fast-paced, collaborative environment
- Excellent communication and stakeholder engagement skills
- Self-driven and capable of working independently
Nice to Have
- Experience with AI agents / automation frameworks
- Exposure to data governance / compliance / security models
