Lead ML Engineer
3 weeks ago
If you are passionate about being part of a fastgrowing team geared towards redefining how IPA solutions are delivered and have that X Factor to contribute to a worldclass product we have a place for you Visit for more details about RAP.
Responsibilities & Capabilities: 1. Develop ML solutions to business problems (prototypes to productiongrade) including i. Exploring stateoftheart popular/proven models and determining the Model(s) most suitable for the data available and the nature of the business problem. ii. Creating a data flow that combines multiple models rules and post/preprocessing steps to implement the solution. iii. Developing microservices that scale efficiently (latency throughput and resource utilization) for model serving & inferencing. 2. Quickly create prototypes of Models Solutions 3. Customer interactions primarily for independently handling demos of prototypes / proofsofconcept to potential Customers/Stakeholders 3. Adopt & build over the latest Deep Learning/Machine Learning technologies & research papers 4. Work closely with Application teams in transitioning prototypes to commercial products 5. Independently work from data collection and preparation/annotation to validation of outcomes. 6. Help define and implement ML development processes and infrastructure
MustHave: 1 years experience performing at least 3 out of 6 responsibilities as mentioned earlier 4 years of experience in AI AI/ML expertise areas: Computer Vision with Deep Learning. Experience with LLMs object detection classification recognition; document layout and understanding tasks OCR/ICR. Thorough understanding of the full ML pipeline starting from data collection to model building to inferencing Good experience in MLOps for production.
mlops,prototypes,inferencing,ocr,solutions,llms,classification,icr,models,computer vision,deep learning,data flow,machine learning,object detection,data collection,ml development processes,develop ml solutions,full ml pipeline,annotation,ml
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