Machine Learning Engineer

Principal responsibilities

• Building productionready models to drive content extraction and classification from images and textbased sources
• Working closely with business teams to understand requirements and iteratively design and develop solutions
• Collaborative with product managers technical teams
• Create test and iterate new and existing products and features
• Designing and building PythonMLOCRbased components
• Not only supporting the development of the product but also the full lifecycle including the deployment testing and production support of the application

Required experience

• MUST HAVE Strong experience in Document AIIntelligent document processing using traditional models and Generative AI particularly in using open source models for achieving business outcomes
• Experience delivering to production in python with a focus on machine learning deep learning natural language processing generative AI image processing and OCR all additional positives
• Experience with some of the following frameworks TensorFlow Pytorch Hugging face Spacy OpenCV Regex or equivalents
• Experience delivering safe code to production focusing on cybersecurity and resilience of the application and APIs

Nice to Have

• Experience using PostgreSQL for data storage and management
• Proficiency with Azures core services like Azure Virtual Machines and experience with one or all of Azure CLI Azure Kubernetes Service AKS and Azure DevOps
• Experience delivering in teams releasing at a high cadence to production

Skills

Mandatory Skills : Apache Spark,MS SQL Server,Multi-Cloud and Hybrid Cloud Architecture,Architectural diagrams,PostgreSQL,Python,Performance Engineering,SQLAlchemy,Embedded Programming - ML module embedded deployment,Industrial AI - Edge,Industrial AI - Machine Learning (ML),TCO Evaluation,Technology Rationalization,R - Data Science,Apache Spark Python,AR_VR_MR