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5.0 - 9.0 years
0 Lacs
chennai, tamil nadu
On-site
As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...
Posted 3 weeks ago
3.0 - 7.0 years
0 Lacs
karnataka
On-site
As a Deep Learning Engineer at CureBay, you will be an integral part of the team working on AI-driven solutions that leverage multi-modal deep learning techniques for tasks such as image, video, object detection, and audio classification. Your role will involve designing and implementing deep learning models, integrating attention mechanisms, and optimizing models for speed, accuracy, and robustness. Collaboration with cross-functional teams to deploy models into production will also be a key aspect of your responsibilities. **Key Responsibilities:** - Design and implement deep learning models for various tasks including image, video, object detection, and audio classification. - Integrate a...
Posted 1 month ago
4.0 - 8.0 years
0 Lacs
pune, maharashtra
On-site
You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an...
Posted 3 months ago
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