Responsibilities:

• 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.

Good To Have:

• Experience with big data frameworks such as Spark and Hadoop.
• Experience with containerizing applications using docker.

Requirements:

• 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 normalisation.
• 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.

How to Apply

Please send your resume to jobs@capestart.com

Consider the below given points while applying

• Resume in MS Word or PDF format as an attachment to the email.
• Subject of the email mentioning the job you are applying for.