AIML Engineer
AIML Engineer
Posted on :
20-06-2025
Employer Active
1 Vacancy
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Job Description
Key Responsibilities
- Develop and deploy AI/ML models for sustainability analytics ESG data processing and carbon footprint estimation.
- Design predictive models for energy efficiency renewable energy forecasting and environmental impact assessment.
- Process clean and analyze large-scale sustainability datasets (LEED ESG reports GRESB CDP Scope 1 2 3 emissions data).
- Implement machine learning algorithms for lifecycle assessment (LCA) and climate risk modeling.
- Utilize big data platforms and cloud-based AI services (AWS GCP Azure) for scalable solutions.
- Automate LEED certification scoring and compliance checks using AI algorithms.
- Optimize carbon footprint tracking and ESG risk assessment models for corporate sustainability strategies.
- Develop APIs and AI-powered dashboards for sustainability reporting and visualization.
- Deploy AI models using MLOps frameworks such as MLflow Kubeflow Docker and Kubernetes.
- Collaborate with data scientists sustainability experts and software engineers to enhance AI solutions for environmental impact.
Required Qualifications & Skills
- Education: or B.E. in Computer Science Artificial Intelligence Machine Learning Data Science or a related engineering field.
- 3-7 years of experience in AI/ML model development for sustainability energy analytics or ESG solutions.
- Proficiency in Python TensorFlow PyTorch Scikit-learn and XGBoost.
- Strong understanding of machine learning algorithms deep learning architectures and big data processing.
- Experience with data science platforms and sustainability databases (CDP SASB GRI GRESB).
- Hands-on experience with cloud computing (AWS GCP Azure) and MLOps frameworks.
deep learning,data science platforms,xgboost,scikit-learn,java,python,pytorch,tensorflow,models,data,mlops,cloud computing,big data processing,sustainability databases,analytics,aws,machine learning
Employment Type
Full Time
Key Skills
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