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GEN AI Lead
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Symhas
Pleasanton, CA (In Person)
Full-Time
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Job Description
GEN AI Lead Symhas Pleasanton, CA Job Details 2 hours ago Qualifications Time series models Predictive modeling analysis SQL Neural networks Data performance optimization Full Job Description Generative AI Lead | 6-8 Years Experience We're looking for a seasoned Machine Learning Engineer who thrives at the intersection of data, engineering, and business impact. If you love turning messy real-world problems into production-grade AI solutions — this one's for you. What You'll Do Partner directly with business stakeholders to define ML use cases, success metrics, and evaluation frameworks — translating strategy into working models Lead end-to-end data workflows: exploration, quality checks, feature engineering, and dataset preparation Build, train, and iterate on ML models; run experiments, compare candidates, and champion the best solution Package and deploy models into production-ready services using containerization and MLOps best practices Own post-deployment health — set up monitoring, track model performance, and drive continuous improvement Your Technical Toolkit Languages & Querying Python (hands-on, non-negotiable)
- SQL (joins, window functions, CTEs, query optimization) Machine Learning Regression
- Decision Trees
- Random Forest
- XGBoost
- LightGBM
- SVM
- KNN Model evaluation (Precision/Recall, F1, ROC-AUC, MSE/RMSE)
- Hyperparameter tuning
- Cross-validation Deep Learning TensorFlow
- Keras
- PyTorch
- CNNs
- RNNs
- LSTMs
- Transformers Applied to NLP, Computer Vision, and Time-Series Forecasting Data Engineering Feature engineering
- Missing data handling
- Outlier detection
- Normalization
- Data cleaning pipelines Visualization & BI Matplotlib
- Seaborn
- Plotly
- Tableau
- Power BI
- Storytelling with data Cloud & Big Data Spark
- Hadoop
- AWS (S3, SageMaker, EC2) or Azure (Databricks, Data Factory) or GCP (BigQuery, Vertex AI) Deployment & MLOps Flask / FastAPI
- Docker
- Kubernetes (a plus)
- CI/CD basics
- Airflow / Prefect Databases MySQL
- PostgreSQL
- SQL Server
- MongoDB
- Cassandra ✅ What Sets You Apart A solid conceptual grip on supervised and unsupervised learning, with real experimental work to back it up Proven experience shipping models to production in cloud-agnostic, API-first architectures Comfortable collaborating with engineering teams via version control and CI/CD workflows Generative AI exposure is a strong plus — and increasingly central to this role Industry Technology, Information and Internet Employment Type Contract