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Machine Learning Engineer (Generative AI & Image Model Specialist)

4.00 to 8.00 Years   Nagpur,Other Maharashtra   03 Apr, 2025
DhanInfo
Job LocationNagpur,Other Maharashtra
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    We are seeking an experienced Machine Learning Engineer with a minimum of 4 yearsin developing, deploying, and managing ML models, with robust expertise in MLOps.The ideal candidate will possess advanced knowledge and hands-on experience withtraining and fine-tuning models specifically on image data, with particular proficiency inconvolutional neural network (CNN) algorithms. You will play a critical role in shapingour AI strategies, building scalable ML pipelines, and refining sophisticated AI modelsthrough continuous optimization and fine-tuning for image processing applications.ResponsibilitiesDesign, develop, train, and fine-tune advanced machine learning modelsfocusing on image datasets.Implement robust MLOps pipelines to support scalable and reliable deploymentof image-based ML models.Stay updated with the latest advancements in Generative AI, image modelingtechniques, and specifically CNN algorithm improvements.Fine-tune pre-trained models for computer vision tasks such as imageclassification, object detection, segmentation, and generative image synthesis.Collaborate closely with cross-functional teams, including data scientists,software engineers, and product managers, to deliver comprehensive image-driven AI solutions.Conduct rigorous testing, model validation, and performance monitoring toensure high accuracy and reliability of image models.Provide mentorship and guidance on best practices related to ML engineering,image processing, CNN architectures, and Generative AI.QualificationsBachelors degree or higher in Computer Science, Data Science, AI, or a relatedfield.Minimum 4 years of professional experience as a Machine Learning Engineerwith a focus on image data.Demonstrable expertise in CNN architectures and image-focused machinelearning tasks.Experience in working with large-scale ML engines and systems.Valuable contributions to open-source machine learning projects are highlydesirable.Deep understanding and practical experience in MLOps, including experiencewith Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP), CI/CDpipelines, and monitoring tools.Hands-on experience fine-tuning image-based models using frameworks likeTensorFlow, PyTorch, Hugging Face, and related libraries.Strong coding skills in Python and proficiency in software engineering bestpractices.Excellent analytical skills with the ability to translate complex businessrequirements into technical solutions.Strong cross-functional collaboration skills, excellent communication abilities, andexperience working collaboratively in agile, dynamic environments.,

Keyskills :
Machine LearningComputer VisionObject DetectionSegmentationPythonSoftware EngineeringMLOpsConvolutional Neural Network CNNGenerative AIImage ModelingImage ClassificationGenerative Image SynthesisCNN ArchitecturesTensorFlowPyTorch

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