IB
IberdrolaManager – Environmental Remediation
Manager of Environmental Remediation overseeing site investigation and remediation projects across New York. Coordinating teams, budgets, and regulatory compliance for contaminated sites.
About the role
- Manage and scale a team of applied scientists and engineers
- Develop, train, and optimize deep learning models for safety, compliance, and fleet operations, including LLMs, transformer models, and multimodal AI
- Design and implement ML pipelines for large-scale data processing, including feature engineering, model training, and real-time inference
- Work with vision, telematics and sensor data (dashcam, GPS, IMU, accelerometers) to improve event detection models (e.g., collision detection, risky driving behavior)
- Fine-tune and distill large models (LLMs, Vision Transformers, etc.) to optimize latency and deployment efficiency on edge devices and cloud infrastructure
- Collaborate with engineering teams to deploy models into production, ensuring robustness, interpretability, and real-time performance
- Conduct A/B testing and causal inference studies to evaluate the impact of AI-driven decisions
- Stay up to date with the latest research in deep learning, generative AI, and optimization methods, bringing innovations into production
Requirements
- Bachelor’s or Master’s degree in a quantitative field (CS, AI, Math, Statistics, or related)
- Previous experience running a technical team
- 4+ years of experience in deep learning, machine learning, or applied AI
- Experience working with hardware, robotics, telematics, geospatial data, or sensor fusion
- Proficiency in Python (TensorFlow, PyTorch, NumPy, Pandas)
- Strong experience in SQL and handling large-scale datasets
- Knowledge of transformer models, LLMs, and multimodal AI
- Experience with ML model deployment on cloud platforms (AWS, GCP)
- Understanding of probability, statistics, and optimization techniques
- Ability to translate business problems into scientific solutions and communicate technical findings to stakeholders.
Benefits
- health, pharmacy, optical and dental care benefits
- paid time off
- sick time off
- short term and long term disability coverage
- life insurance
- 401k contribution
Job title
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Experience level
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