Machine Learning Engineer - midlevel

• 2+ years of ML + NLP experience.


• Programming in Python.


• Knowledge of SQL and NoSQL databases.


• Expert ability to write robust code in Python.


• Experience working with structured and unstructured data including data extraction, integration, and normalization.


• Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy.


• Expert skill at manipulating data frames using Pandas and arrays using NumPy.

Good To Have:

• Experience with big data frameworks such as Spark and Hadoop.


• Experience with containerizing applications using docker.

• Understanding business objectives and formulating the problem as a Machine Learning problem.


• In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries.


• Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning.


• Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots).


• Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV.


• Hands-on experience in any public cloud environment (AWS, GCP or Azure).


• Ability to build robust data processing and analytics pipelines.


• Operationalize ML models into production environment(s).


• Strong knowledge of software fundamentals, data structures and algorithms.


• Strong analytical and problem-solving skills.


• Quick learner passionate about Machine Learning and Data Science.