3 - 5 years

5.0 - 7.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

pythoncloud platformsmachine learningpytorchmodel developmentimage processingnatural language processingartificial intelligencesqldockerdeep learningtensorflowrdjangocomputer visionmysqlapiflaskawsopencvmlpattern recognition

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role Our Ideal Candidate We are seeking a highly skilled and innovative Machine learning Engineer to join our team. The ideal candidate will have a strong background in developing, deploying machine learning applications and customizing large language models to enterprise use cases. You will work on cutting-edge projects, collaborating with cross-functional teams to develop scalable and efficient AI solutions that solve complex business problems involving large datasets to revolutionize enterprise workflows. Responsibilities Build and optimize end-to-end machine learning pipelines for data ingestion, model training, validation, and deployment. Develop APIs and microservices to enable seamless integration of AI models into existing business applications. Develop automated testing frameworks for ML models and integrate them into pipelines for seamless model deployment. Collaborate with cross-functional teams (product, sales, technology, operations, bill review, etc.) to align AI solutions with business goals. Optimize model performance through fine-tuning. Qualifications Bachelor"™s degree in CS/AI/DS or a related field 3+ years of experience in Machine Learning (ML) model development and deployment. Proficiency in Python, PyTorch, and cloud platforms (AWS or similar). Expertise in deploying, interfacing with large language models. Experience with MLOps best practices for production-ready solutions. Strong understanding of database systems (primarily SQL) to support ML workflows. Strong problem-solving skills and the ability to work independently. Ability to deploy ML models as scalable APIs using Flask, FastAPI, or similar frameworks.

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