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