Description

Cliff.ai is seeking an incredible Machine Learning Research Engineer with 6month or more of relevant experience to join the team.

About Us

Cliff.ai is the world's leading business observability platform. It is a complete paradigm shift in the way companies monitor their business processes.

We are a small team - based across London and Indore - with a big vision and are growing rapidly. We’re a Techstars company, and are backed by some of London’s biggest VCs. We have been awarded UK’s ‘Startup of the Year’ and also featured by Forbes as a startup 'set to blaze a trail'.

Cliff.ai recently got acquired by Gtmhub- the world’s best business orchestration platform, powered by the proven OKR methodology. They support over 500,000 users across 75 countries and 1,000+ organizations including Red Hat, Adobe, Societe Generale, and TomTom.

The Role

Candidate is expected to fulfill the following requirements:-

• Proficient in python & pytorch. ( Very Imp.)
• Exceptionally proficient in numpy skills . ( Very Imp.)
• Should have clear conceptual understanding of basis statistics and probability distributions.
• Very good understanding of core ML algorithms and methods:
• Linear Regression, Bayesian methods, Decision trees, KNN, Bayesian networks, bagging/boosting, Matrix factorisation, PCA, SVM, Autoencoders, topic modelling.
• Feature selection/extraction, ensembling, bias-variance tradeoff, evaluation metrics.
• Clustering methods s.a. density based clustering, gmm, kmeans.
• Experience working with Deep models. Clear conceptual understanding of training methodologies for Deep Learning. Should be aware of how and why are various preprocessing, training, evaluation methods used.
• Good conceptual understanding of RNN, CNN, attentions methods.
• Preferred to have exposure working w/ Graph algorithms.

The Details

• Reading, understanding, implementing and experimenting upon new research papers.