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Lead Data Scientist
2 months ago
- Overall 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).Soft Skills
- Strong leadership and team management skills.
- Excellent verbal and written communication skills.
- Strategic thinking and problem-solving abilities.
- Adaptability and adapting to the rapidly evolving AI/ML landscape.
- Strong collaboration and interpersonal skills.
- Ability to translate market needs into technological solutions.
- Strong understanding of industry dynamics and ability to translate market needs into technological solutions.
- Demonstrated ability to foster a culture of innovation and creative problem-solving.#Data Scientist #AIML #ComputerVision #MachineLearning #ArtificalIntelligence
