Proficiency in Programming: Python and SQL are essential. Experience with other languages like Scala or Java is a plus.
Robust Expertise in AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, and similar frameworks are crucial.
Experience with Big Data ML libraries (e.g., Spark MLlib) is highly desirable.
Big Data Expertise: Proven experience working with distributed computing systems and Big Data technologies such as Hadoop, Spark, Hive, and Kafka.
Familiarity with cloud-based Big Data services (e.g.,AWS EMR, Google Cloud Dataproc, Azure HDInsight) is a significant advantage.
Cloud Platforms: Familiarity with Google Cloud Platform (preferred), AWS, and/or Azure for model deployment and data pipelines, with a focus on their Big Data and AI/ML services.
Data Visualization Skills: Experience with Power BI, Tableau, or similar tools to effectively communicate data insights.
Knowledge of NLP/Computer Vision: Hands-on experience in Natural Language Processing or Image.
Recognition methodologies is a plus, especially in the context of large datasets.
📌 Data Science & AI Engineer (Gurugram)
🏢 TENARAI TECHNOLOGIES PRIVATE
📍 Gurugram
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