Title: AI/ML Engineer
Location: Remote
Hiring Type: W2
Contract
Job Summary:
We are looking for a versatile and experienced Machine Learning Engineer (Contractor) to support our data engineering and analytics initiatives on
GoogleCloudPlatform (GCP).
Key Responsibilities:
- Design and implement unsupervised ML models to extract insights from structured and unstructured data
- Develop generative AI solutions for data augmentation, summarization, and visual storytelling
- Create interactive and compelling visualizations using traditional and GenAI tools
- Collaborate with full-stack development and platform engineering teams to integrate ML models into production systems
- Build scalable ML pipelines using GCP-native services such as BigQuery, Vertex AI, Dataflow, and Cloud Functions
- Ensure model performance, reliability, and maintainability through iterative experimentation and optimization
- Document methodologies and present findings to both technical and non-technical stakeholders
Required Qualifications:
Need a ML Engineer not just a technical person. Experience in data analysis skills, define a problem and break it down into parts easily to be able to solve.
Strong experience with unsupervised machine learning techniques and algorithms
Hands-on experience with GCP services including BigQuery, Vertex AI, Cloud Storage, and Dataflow
Experience collaborating with full-stack teams to integrate ML solutions via APIs or microservices
Proficiency in Python (including libraries like scikit-learn, TensorFlow, PyTorch) and SQL
Experience with data visualization tools (e.g., Looker Studio, Plotly, Tableau) and GenAI platforms
Please share resume to ajay @ yottasys .com