Futran Tech Solutions Pvt. Ltd.
Lead / Sr . AI-ML Engineer
Futran Tech Solutions Pvt. Ltd., New York, New York, us, 10261
Mandatory Skills : ML engineer,Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.),SOTA models NLP , OCR ,Deep learning Domain .
Job description : (Minimum 10 years in IT (Python) , 5+ years in AI-ML Engineering ).
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 library's and write packages for reproducing components
Manage production pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Technical Requirements:
Proven track record as a ML engineer
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 ML & Deep Learning domain
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 NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR
Good to have:
8+ years of relevant experience in ML Engineering
Prior substantial experience regarding document processing
Mandatory Skills
AI -ML Engineer , Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.),SOTA models NLP , OCR.
Additional Skills
Python Application Programming
Job description : (Minimum 10 years in IT (Python) , 5+ years in AI-ML Engineering ).
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 library's and write packages for reproducing components
Manage production pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Technical Requirements:
Proven track record as a ML engineer
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 ML & Deep Learning domain
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 NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR
Good to have:
8+ years of relevant experience in ML Engineering
Prior substantial experience regarding document processing
Mandatory Skills
AI -ML Engineer , Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.),SOTA models NLP , OCR.
Additional Skills
Python Application Programming