Machine Learning Engineer (Generative AI &)
- Kpr sugar apperals
- 4 to 8 Yrs
- Nagpur
- 3 months ago
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Job Description
- We are seeking an experienced Machine Learning Engineer with a minimum of 4 years in developing, deploying, and managing ML models, with robust expertise in MLOps. The ideal candidate will possess advanced knowledge and hands-on experience with training and fine-tuning models specifically on image data, with particular proficiency in convolutional neural network (CNN) algorithms. You will play a critical role in shaping our AI strategies, building scalable ML pipelines, and refining sophisticated AI models through continuous optimization and fine-tuning for image processing applications. Responsibilities Design, develop, train, and fine-tune advanced machine learning models focusing on image datasets. Implement robust MLOps pipelines to support scalable and reliable deployment of image-based ML models. Stay updated with the latest advancements in Generative AI, image modeling techniques, and specifically CNN algorithm improvements. Fine-tune pre-trained models for computer vision tasks such as image classification, 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 to ensure 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. Qualifications Bachelors degree or higher in Computer Science, Data Science, AI, or a related field. Minimum 4 years of professional experience as a Machine Learning Engineer with a focus on image data. Demonstrable expertise in CNN architectures and image-focused machine learning tasks. Experience in working with large-scale ML engines and systems. Valuable contributions to open-source machine learning projects are highly desirable. Deep understanding and practical experience in MLOps, including experience with Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and monitoring tools. Hands-on experience fine-tuning image-based models using frameworks like TensorFlow, PyTorch, Hugging Face, and related libraries. Strong coding skills in Python and proficiency in software engineering best practices. Excellent analytical skills with the ability to translate complex business requirements into technical solutions. Strong cross-functional collaboration skills, excellent communication abilities, and experience working collaboratively in agile, dynamic environments.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Engineer (Generative AI &)Contact Details:
Company: DhanInfoLocation(s): Nagpur+ View Contact
Keyskills: Machine Learning Computer Vision Object Detection Segmentation Python Software Engineering Image Classification TensorFlow PyTorch
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