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Job Description.
Strong Data Science + ML Engineer with 7+ years of experience in traditional machine learning and statistical modelling. The candidate should have strong expertise in time series analysis, clustering, predictive analytics, forecasting, regression, classification, feature engineering, and model selection.
The role requires hands-on capability to frame business problems, choose the right algorithms, build and validate models, and work with stakeholders to deliver scalable and actionable insights.
Must Have skills:
Job ID: 148921937
Skills:
data engineering , Machine Learning, Hadoop, PostgreSQL, Sql, Tensorflow, Gcp, Pytorch, Spark, Azure, Python, AWS, Computer Vision, Scikit-learn, Ai, reinforcement learning, ETL processes, Data preprocessing techniques
Skills:
Pyspark, Machine Learning, Clustering, Sql, MLops, Time Series, Databricks, Azure, Python, GenAI, Forecasting, Bayesian optimization, Optimisation, Statistical Quality Control, CI CD, Llm, Classification, prediction, Statistical Process Control, Operations Research
Skills:
Tensorflow, Pytorch, Docker, Matlab, Python, Kubernetes, IBM CPLEX, MLflow, SciPy Optimize, R, Google OR-Tools, Gurobi
Skills:
causal inference , Sql, Databricks, Predictive Modelling, Pyspark, Machine Learning, MLops, Clustering, Python, Azure, Optimisation, Time-Series Forecasting, Segmentation, GenAI, Uplift Modelling, Classification, Regression
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