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Data Scientist

Min Experience

3 years

Location

Santa Clara, CA

JobType

Contract

About the job

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About the role

- 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/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 application independently using available open source LLM models. - Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks)

About the company

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It's true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Skills

python
tensorflow
pytorch
deep learning
supervised learning
unsupervised learning
reinforcement learning
federated learning
time series forecasting
bayesian statistics
optimization
nlp
rag