What are the responsibilities and job description for the AI/ML DATA ENGINNER position at Galactic Minds INC?
Role- AI/ML DATA ENGINNER – HIGHLY EXPERIENCED ON SQL CODING, DATABRICKS AND SNOWFLAKES
Location - Santa Clara CA(Onsite)
Type: Contract
Job Summary
We are looking for an experienced AI Data Application Engineer to build and deploy AI-driven solutions that solve real business problems. This role bridges AI/ML capabilities with production-ready systems and works closely with product, data science, and platform teams.
Key Responsibilities
Build AI-powered applications using machine learning and generative AI
- Integrate ML models, LLMs, and AI services into applications
- Develop APIs and microservices for AI solutions
- Work with data scientists to deploy models into production
- Implement prompt engineering and inference pipelines
- Ensure performance, scalability, security, and reliability
- Support real-time and batch AI use cases
- Set up monitoring for application and AI behavior
- Manage model versioning, A/B testing, and rollback
- Ensure data privacy and responsible AI compliance
- Contribute to architecture and best practices
- Troubleshoot production issues
- Mentor junior team members
Required Skills & Qualifications
Application Development
5–6 years of software development experience
- Strong skills in Python or JavaScript/TypeScript
- Experience with FastAPI, Flask, Django, or Node.js
- Good understanding of APIs, microservices, and system design
- Frontend experience (React, Angular, Vue) is a plus
AI & Machine Learning
Experience integrating ML and AI services into applications
- Understanding of ML lifecycle and inference
- Experience with LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face)
- Knowledge of prompt engineering and RAG
- Familiarity with embeddings and vector search
Data & Backend
Strong SQL and database experience (relational and NoSQL)
- Experience with Snowflake and Databricks platforms
- Experience with data pipelines and analytics systems
- Knowledge of APIs, caching, and messaging systems (Kafka, RabbitMQ)
Cloud & DevOps
Experience with AWS, Azure, or GCP
- Hands-on with Docker and Kubernetes
- Familiarity with CI/CD pipelines
- Exposure to cloud-native AI services is a plus