- Minimum experience in data science with a focus on machine learning and AI.
- Proven experience with MLOps tools and practices, including CI/CD for machine learning models, containerization (Docker/Kubernetes), and model serving frameworks.
- Proficiency in programming languages such as Python, pyspark, or SQL, and familiarity with machine learning libraries (, TensorFlow, PyTorch, scikit-learn).
- Strong understanding of Gen AI concepts like LLMs, Embeddings, Vector Databases, and frameworks like Langchain and LlamaIndex and its applications across various industries.
- Experience with cloud services (AWS, GCP, Azure) and their machine learning platforms.
- Ability to work independently as well as lead collaborative teams
- Willingness to travel to client sites when necessary
- Minimum experience in data science with a focus on machine learning and AI.
- Proven experience with MLOps tools and practices, including CI/CD for machine learning models, containerization (Docker/Kubernetes), and model serving frameworks.
- Proficiency in programming languages such as Python, pyspark, or SQL, and familiarity with machine learning libraries (, TensorFlow, PyTorch, scikit-learn).
- Strong understanding of Gen AI concepts like LLMs, Embeddings, Vector Databases, and frameworks like Langchain and LlamaIndex and its applications across various industries.
- Experience with cloud services (AWS, GCP, Azure) and their machine learning platforms.
- Ability to work independently as well as lead collaborative teams
- Willingness to travel to client sites when necessary
-
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Technology Consulting-DP Data Science Analyst - bangalore, India - KPMG India
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