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Ultimate solution for smart kitchens. A BSH Backed Company.

Machine Learning Engineer

₹10L – ₹15L • No equity
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The Machine Learning Engineer role is responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. This requires good engineering (for example: designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

You will be working directly with our engineers to build a robust recommendation system, handle NLP problems all in all making the product more personalized based on the data we collect from thousands of users.

Key Qualifications
2+ years experience working on data science projects
Hands-on experience with NLP, mining of structured, semi-structured, and unstructured data
Proficient in using dense representation like Glove, FastText, Word2Vec for NLP pipelines.
Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques
Experience working with large, real world data — big, messy, incomplete, full of errors
Experience with machine learning tools and libraries such as Scikit-learn, R, Spark, TensorFlow, NLTK, Spacy
Intuition about algorithm and system performance and throughput
Experience Ranking entities or attributes a plus
Multimodal learning applications a plus
Architecture and system/pipeline layout experience a plus
Deep learning, computer vision, topic modeling, graph algorithms are pluses
Scala language experience a plus
Attention to detail, data accuracy, and quality of output
Strong interpersonal, written, and verbal communication skills
Ability to effectively function in a fast-paced environment with shifting priorities and simultaneous projects
Full ownership of project and its properly evaluated and deployed operation in production is a must

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