Machine Learning Lead

Machine Learning Lead Symhas Pleasanton, CA Job Details 8 hours ago Qualifications TensorFlow Reinforcement learning Continuous Delivery (CD) implementation PyTorch Software deployment Amazon SageMaker Big data systems AI platforms (beyond public GPTs) Computational framework SQL Production systems Machine learning cloud services XGBoost Model deployment Supervised learning Monitoring system implementation System deployment Unsupervised learning Machine learning frameworks MLOps Full Job Description 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