Machine Learning Engineer

Note: 2 PROFESSIONAL JOB REFERENCES WITH ONLY COMPANY EMAILS (NO PRIVATE EMAILS ARE ALLOWED) TECHNICAL REQUIREMENTS: Proven track record as a Machine Learning Engineer with 4 years of corporate experience in ML. Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace, etc.). Excellent exposure TO LARGE SCALE MODEL DEPLOYMENT STRATEGIES AND TOOLS. Excellent knowledge of Machine Learning & Deep Learning domains. Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale. Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, Docker and Django. Experience with SOTA models related to Natural Language Processing (NLP) like Classification, Summarization, Phrase extraction, Table Extraction and OCR. RESPONSIBILITIES: Play a central role in all stages of the AI product development life cycle , including: Designing Machine Learning systems and model scaling strategies . Run necessary ML tests and benchmarks for model validation. Fine-tune, retrain and scale existing model deployments. Extend existing ML libraries and write packages for reproducing components. Manage production pipelines for enterprise scale projects. Perform code reviews & optimization for your projects and team. GOOD TO HAVE: Prior substantial experience regarding document processing