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Job Description:
#About The Role
-We’re hiring for a passionate AI Engineer who will be instrumental in contributing to our existing production systems that enable teams to derive value from leveraging AI powered intelligent actionable insights.You will explore and implement ways to generate insights about our product and recommendation processes and leverage existing systems to develop scalable end-to-end AI and deliver excellent business outcomes for need of the hour industry problems.
#Required Technical And Professional Expertise
-(1-3) years of experience writing production quality Python code
-1+ years of Demonstrated industry experience in Machine Learning, NLP, Deep learning and related fields in AI
-1+ years of experience with MongoDB or any NoSQL database
-Expertise in Data Interpretation and Visualization skills using various visualization tools/libraries like Matplotlib, Seaborn, Plotly, Tableau etc.
-Solid understanding of various classical ML learning techniques like but not limited to supervised and unsupervised algorithms like Regression, SVM, K-NN, Decision trees, Naive Bayes, Random forest, Clustering etc and implementing the same in a production setting
-Proficient in standard Natural Language Processing Techniques (NLP) techniques and a minimum of 1+ years of experience in building and deploying NLP Models at scale
#Required Educational Qualifications
-B.Tech/BS in Computer Science/Computer Engineering/Machine Learning/Artificial Intelligence or any allied fields
About Company:
EvaBot is the Sales Intelligence layer across your sales cycle that automates all the research and delivers actionable insights across the sales cycle. EvaBot uses public data (via an instant live scan across 200+ data sources), uncovers private data (via an unique AI chat) and captures proprietary data from emails and calls to create a single live view for every prospect/customer. Sales teams use Eva to scale personalized outreach, drive multithreading and build more champions faster, driving pipeline velocity.
