
AI/ML - Lead
2 days ago
Responsibilities
- 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker)
- Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio).
- Knowledge of 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.
Qualifications
- Overall 5 to 7 years of experience, out of which in 4+ 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 PyTorch and/or TensorFlow.
- Experience with ONNX runtime, model optimization and hyperparameter tuning.
- Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, 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, sentiment analysis, language modeling, and other NLP applications.
- Experience with speech recognition, audio classification, and general signal processing techniques.
- Experience with RAG, VectorDB, GraphDB and Knowledge Graphs.
- Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).
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