Company:
InterSources Inc.
Location: Santa Clara
Closing Date: 04/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description:
Mandatory:
Good GenAI capabilities, with hands-on experience in Tradition ML/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 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.
Qualifications:
B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
6+ years of IT experience with a min of 3+ years in Data Science (AI/ML).
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.
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).
About Us:
InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
Mandatory:
Good GenAI capabilities, with hands-on experience in Tradition ML/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 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.
Qualifications:
B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
6+ years of IT experience with a min of 3+ years in Data Science (AI/ML).
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.
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).
About Us:
InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
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