Expertise in Data Science &
AI/ML: 6-8
years’ experience designing, developing, and deploying scalable AI/ML
solutions for Big Data, with proficiency in Python, SQL, TensorFlow,
PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib).
Cloud Proficiency: Proven
experience with cloud-based Big Data services (GCP preferred, AWS/Azure a
plus) for AI/ML model deployment and Big Data pipelines.;
understanding of data modeling, warehousing, and ETL in Big Data contexts.
Analytical & Communication
Skills: Ability to extract actionable insights from large datasets, apply
statistical methods, and effectively communicate complex findings to both
technical and non-technical audiences (visualization skills a plus).
Requirements
Expertise in Data Science &
AI/ML: 6-8
years’ experience designing, developing, and deploying scalable AI/ML
solutions for Big Data, with proficiency in Python, SQL, TensorFlow,
PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib).
Cloud Proficiency: Proven
experience with cloud-based Big Data services (GCP preferred, AWS/Azure a
plus) for AI/ML model deployment and Big Data pipelines.;
understanding of data modeling, warehousing, and ETL in Big Data contexts.
Analytical & Communication
Skills: Ability to extract actionable insights from large datasets, apply
statistical methods, and effectively communicate complex findings to both
technical and non-technical audiences (visualization skills a plus).
Posted By:Logic Planet It Services
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