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About the role
Familiar with Python, Prolog, Haskell, Scala, Java / J2EE, JavaScript and Node.js Strong proficiency in Python Machine Learning fundamentals. Experience with Python web development (Flask or Django). Familiarity with Deep learning for NLP . Familiar with Apache Spark MLlib , Scikit Learn , Tensor Flow, torch , caffe, Roboflow, Label Img, OCR API, Google Colab / JupyterNotebook, Neural network frameworks like DarkNet - YOLO V4. Expertise with Natural Language Processing platforms like Opennlp, NLTK, spacy, Stanford NLP etc a big plus. Experience in building Artificial Intelligence Solutions especially in the area of unstructured data like Images, Video, Text. Experience with integration of data from multiple data sources . Ability to customize Machine Learning platforms and algorithms. Ability to tackle scaling challenges in response to increased usage, either through deployment and auto-scaling settings or model structure. Understands underlying algorithms behind Machine Learning . Training models and tuning their hyperparameters. Analyzing the errors of the model and designing strategies to overcome them. Knowledge of debugging and problem-solving methodology. Experience configuring bare metal GPU instances Deploying models to production. Familiarity with Windows, AWS, Linux , Unix. Familiarity with GIt , SVN , Jira Familiarity with Agile Tools and Methodologies . Good verbal and written communication skills Ability to learn technology quickly through instruction and self-training. Must be Self Motivated to get things done and a Self-starter . Education: Graduates/ Post Graduates (MCA/BCA/BE Computer Science/BE IT) Experience: 2 to 4 Yrs.
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