Machine Learning Lead

Job Description

Job Description

Employment Type: Contract · Rate: $90–115/hr (W2) · Work Mode: Onsite — Pleasanton, CA

Machine Learning Lead

We are looking for a senior Machine Learning Lead to drive ML strategy and execution at our Pleasanton, CA office. You will lead a team building and deploying scalable ML models across a range of business-critical applications, from predictive analytics to deep learning systems.

Key Responsibilities

• Lead the full ML lifecycle: data exploration, feature engineering, model training, evaluation, and production deployment
• Define and evolve the ML platform architecture and MLOps practices
• Drive adoption of modern ML techniques including deep learning, ensemble methods, and large-scale model training
• Collaborate with data engineering and product teams to deliver high-impact ML solutions
• Establish model monitoring, drift detection, and retraining pipelines
• Mentor and grow a team of ML engineers and data scientists

Requirements

• 10+ years of experience in machine learning, data science, or AI engineering
• Deep expertise in supervised, unsupervised, and reinforcement learning techniques
• Strong proficiency with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
• Hands-on MLOps experience: model serving, monitoring, CI/CD for ML (MLflow, Kubeflow, SageMaker, etc.)
• Proficiency in Python and SQL; experience with large-scale data platforms
• US Green Card or Citizenship required
• Must be willing to work onsite in Pleasanton, CA