Lead ML Engineer

4 months ago

Chennai, India Rapid Acceleration Partners Full time
AboutCompany:RAP RapidAcceleration Partners provides practical AI solutions for digitalbusiness transformation. RAP has developedRAPFlow an AI orchestration platform for building contentintelligence solutions and RAPBot an RPA tool for endtoendautomation to democratize AI. RAP s vision is to provide a unifiedIntelligent Process Automation platform centered around ComputerVision and Natural Language Processing combining it withRPA.
If youare passionate about being part of a fastgrowing team gearedtowards redefining how IPA solutions aredelivered and have that X Factor to contribute to a worldclassproduct we have a place for you Visit formore details aboutRAP.

Responsibilities& Capabilities: 1.Develop ML solutions to business problems (prototypes toproductiongrade) including i. Exploringstateoftheart popular/proven models and determining the Model(s)most suitable for the data available and the nature of the businessproblem. ii. Creating a data flow thatcombines multiple models rules and post/preprocessing steps toimplement the solution. iii. Developingmicroservices that scale efficiently (latency throughput andresource utilization) for model serving & inferencing.2. Quickly create prototypes of ModelsSolutions 3. Customer interactions primarilyfor independently handling demos of prototypes / proofsofconcept topotential Customers/Stakeholders 3. Adopt& build over the latest Deep Learning/Machine Learningtechnologies & research papers4. Work closelywith Application teams in transitioning prototypes to commercialproducts 5. Independently work from datacollection and preparation/annotation to validation of outcomes.6. Help defineand implement ML development processes and infrastructure
MustHave: 1 years experience performing at least 3out of 6 responsibilities as mentioned earlier 4 years of experience in AI AI/ML expertise areas: Computer Vision withDeep Learning. Experience with LLMs object detection classificationrecognition; document layout and understanding tasks OCR/ICR. Thorough understanding of the full MLpipeline starting from data collection to model building toinferencing Good experience in MLOps forproduction.

mlops,prototypes,inferencing,ocr,solutions,llms,classification,icr,models,computervision,deep learning,data flow,machine learning,objectdetection,data collection,ml development processes,develop mlsolutions,full ml pipeline,annotation,ml

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