3.0 - 6.0 years

0.0 Lacs P.A.

Pune, Maharashtra, India

Posted:6 hours ago| Platform: Linkedin logo

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Skills Required

learningengineeringprogrammingpythontensorflowpytorchmlprocessingvisionalgorithmsstylingaidatamodeltrainingoptimizationtuningefficiencydeploymentintegrationmonitoringmaintenanceevaluationupdatingtechnology

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Role: Machine Learning Engineer Experience: 3-6 years Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Location: Pune Programming Languages  Python: Proficiency is explicitly required. Machine Learning Frameworks  TensorFlow, PyTorch, Or similar frameworks: Experience with other popular machine learning libraries is acceptable. Areas of Expertise  Machine Learning: General expertise in designing, developing, and deploying ML models.  Natural Language Processing (NLP): Specific experience in this domain is highlighted.  Computer Vision: Hands-on experience in this area is a key requirement.  Recommendation Systems: Knowledge of building personalized recommendation algorithms, especially for fashion styling.  Generative AI: Familiarity with generative AI models is a significant advantage.  Large Language Models: Experience with foundational models like GPT-4 or similar is essential. Other Technical Skills Data Collection, Cleaning, and Pre-processing: Ability to work with fashion-related datasets (e.g., clothing items, accessories, trends, customer preferences). Model Training and Optimization: Expertise in training, fine-tuning, and optimizing AI models for performance and efficiency. Model Deployment and Integration: Skills in deploying models into production environments and collaborating with engineering teams. Performance Monitoring and Maintenance: Continuous evaluation and updating of deployed models. Industry Trend Awareness: Staying updated with advancements in machine learning and fashion technology. Educational Background Preferred: Candidates with specialization or coursework in Machine Learning or Artificial Intelligence. Show more Show less

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