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Experience: 7+ years
Notice Period: Immediate joiners
Work Timings: Normal working Hours
Location: Gurgaon
Work Mode: Hybrid
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).
Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics).
Skills: data visualization,statistical modeling,data analysis,tensorflow,big data technologies,ai/ml,data mining,pytorch,spark mllib,machine learning models,artificial intelligence,machine learning,problem solving,predictive analytics,etl,warehousing,ml,data science,big data ml libraries,data modeling,scikit-learn,sql,gcp,python,cloud services (gcp, aws, azure),azure,big data,apache spark mllib,ai,aws,statistical methods
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