InterSources Inc. is looking for a Data Scientist with strong GenAI and traditional ML/deep learning capabilities to solve complex problems using technology, specifically in areas like Artificial Intelligence and Data Analytics.
Requirements
- Good GenAI capabilities, with hands-on experience in Tradition ML/deep learning.
- Deep learning expertise is mandatory for a Data science role.
- should have a fair bit of experience in DL/neural networks or ML. 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.
- Strong programming skills in Python.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(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.
Responsibilities
- Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented).
- 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.
- 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 ML. 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.
Other
- 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML).
- Candidates should have a good appetite for research and exploration while working.
- B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
- Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).
