
Senior Machine Learning Analyst
11 hours ago
Are you a seasoned data professional with a passion for advanced forecasting and machine learning?
We are seeking a highly skilled Senior Data Scientist / ML Engineer to join our team and help design and operationalize cutting-edge forecasting solutions at scale. This role combines hands-on machine learning expertise with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.
Job Requirements- Develop and deploy production-grade forecasting models that meet business needs
- Create end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
- Build probabilistic models to quantify forecast uncertainty and drive informed decision-making
- Craft clean, modular, object-oriented code following industry best practices
- Implement MLOps best practices including model versioning, monitoring, and continuous integration/continuous deployment (CI/CD)
- Leverage distributed training frameworks for scalable model development and collaborate with cross-functional teams to align solutions with business objectives
Key Skills and Qualifications:
- Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn
- Hands-on experience with deep learning frameworks (preferably PyTorch)
- Experience with distributed training and large-scale datasets
- Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines)
- Solid understanding of statistical modeling, regression, and time series analysis
Required Background:
- 3–6 years of relevant experience in Data Science / ML Engineering
Preferred Education:
- MS or BS in Computer Science or related field from a reputable institution
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