Job Description
Responsibilities:
- Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies
- Proven track record of leading and scaling AI/ML teams and initiatives.
- Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications.
- Expertise in ML frameworks such as Py Torch and/or Tensor Flow
- Experience with ONNX runtime, model optimization and hyperparameter tuning.
- Solid Experience of Dev Ops, SDLC, CI/CD, and MLOps practices - Dev Ops/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, Rabbit MQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack
- Experience in production-level deployment of AI models at enterprise scale.
- Proficiency in data preprocessing, feature engineering, and large-scale data handling.
- Expertise in image and video processing, object detection, image segmentation, and related CV tasks.
- Proficiency in text analysis, sentime...
- Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies
- Proven track record of leading and scaling AI/ML teams and initiatives.
- Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications.
- Expertise in ML frameworks such as Py Torch and/or Tensor Flow
- Experience with ONNX runtime, model optimization and hyperparameter tuning.
- Solid Experience of Dev Ops, SDLC, CI/CD, and MLOps practices - Dev Ops/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, Rabbit MQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack
- Experience in production-level deployment of AI models at enterprise scale.
- Proficiency in data preprocessing, feature engineering, and large-scale data handling.
- Expertise in image and video processing, object detection, image segmentation, and related CV tasks.
- Proficiency in text analysis, sentime...
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