Data Scientist with Databricks - Expert In Recruitment Solutions
San Mateo, CA 94402
About the Job
Title: Data Scientist with Databricks
Location: Santa Clara, CA (No relocation candidates, need local, Work 5 days a week from office)
Job Description:
Team they are looking for a very Junior Data scientist
Mandatory:
• Good GenAI capabilities, with hands-on experience in Tradition Client/deep learning.
• Deep learning expertise is mandatory for a Data science role.
• Candidates should have a good appetite for research and exploration while working.
• should have a fair bit of experience in DL/neural networks or Client. Especially how CNN, RNN work. Details on How Transformers work. What are the various components in neural network design? And all optimization algorithms used in Neural nets.
Qualifications:
• B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
• 2+ years of IT experience with a min of 1+ years in Data Science (AI/Client).
• Strong programming skills in Python.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented).
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Building RAG applications independently using available open source LLM models.
• Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).
Location: Santa Clara, CA (No relocation candidates, need local, Work 5 days a week from office)
Job Description:
Team they are looking for a very Junior Data scientist
Mandatory:
• Good GenAI capabilities, with hands-on experience in Tradition Client/deep learning.
• Deep learning expertise is mandatory for a Data science role.
• Candidates should have a good appetite for research and exploration while working.
• should have a fair bit of experience in DL/neural networks or Client. Especially how CNN, RNN work. Details on How Transformers work. What are the various components in neural network design? And all optimization algorithms used in Neural nets.
Qualifications:
• B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
• 2+ years of IT experience with a min of 1+ years in Data Science (AI/Client).
• Strong programming skills in Python.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented).
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Building RAG applications independently using available open source LLM models.
• Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).
Source : Expert In Recruitment Solutions