Purpose

We are looking for AI Architect / Solutions Lead to join our organization. Candidate must be hands on in applying AI, data mining techniques, doing statistical analysis, machine learning algorithms and building high quality prediction systems integrated with products and processes.

Responsibilities

1. Automate scoring using machine learning techniques
2. Build recommendation systems
3. Improve and extend the features used by our existing classifier
4. Develop internal A/B testing, multi arm bandits
5. Build system for automated fraud detection
6. Build complex production ready models on Deep Learning and DRL
7. Participate in Kaggle competitions and achieve good results

Requirements

1. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, RandomForests, DNN, DRL, GANs etc
2. Experience with common data science toolkits, such as R, Weka, NumPy, Spark MLLIB, H2O.ai, TensorFlow, Keras, PaddlePaddle, Pytorch, OpenGym etc
3. Understanding of emerging AI and big data platform such SageMaker, H2O, Kubeflow, Pachyderm, Kubernetes Etc will be an advantage
4. Good scripting and programming skills in one or more language like R, Python etc.
5. Proficiency in using query languages such as SQL, Hive, Pig
6. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase as well as graph databases such as Neo4j
7. Experience in at least one foundational language such as C++ or Java
8. Experience in text analyses and streaming analyses
9. Experience in computer vision, speech and video
10. Have worked on Deep Learning (CNN, RNN, GAN, DRLs)
11. Understanding and experience in performance optimization related to algorithm implementations