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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:
Machine Learning, Python, Generative AI, LLMs, Statistical Modeling
Skills:
Pyspark, Tensorflow, Pytorch, Flask, Python, AWS, Apis, Hadoop, Sql, Gcp, Spark, Databricks, FastAPI, Azure, data science techniques, decision science approaches, Statistical Modeling, ML services, multimodal AI, big data ecosystems, Generative AI, Agentic AI frameworks, LLMs, cloud platforms, Optimization Techniques, AI ML data science pipelines
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:
Pytorch, Kubernetes, Matlab, Python, Tensorflow, Docker, Google OR-Tools, SciPy Optimize, R, MLflow, Gurobi, IBM CPLEX
Skills:
Tensorflow, Pytorch, Docker, Matlab, Python, Kubernetes, IBM CPLEX, MLflow, SciPy Optimize, R, Google OR-Tools, Gurobi
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