Technical Lead
4 weeks ago
Position Name - Lead Genai + NLP
Location - Range - 4+ Years
Mandatory Requirement :
- Must have Semantic modeling & NER experience
- Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases.
- Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain and GPT (or similar models) OpenCV.
They are a design-led data science firm that helps solve complex business problems with compelling data stories using insights and a low-code analytics platform. They help enterprises large and small with data insights and storytelling by leveraging Generative AI, AI/ML, Automated Analysis, and Visual Intelligence using modern charts and narratives (NLG).
Job Roles and Responsibilities:
- You will help our clients solve real-world problems by tracing the data-to-insights lifecycle.
- Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data
- Create, experiment with and deliver innovative solutions in a consultative mindset to the client stakeholders using textual data
- Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
- Total 4+ years of experience using analytical tools/languages like Python on large-scale data
- Must have Semantic modeling & NER experience
- Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases
- Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain and GPT (or similar models) OpenCV.
- Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4,Prompt Engineering
- Experience using Azure services for ML & GenAI projects is a plus
- Demonstrated ability to engage with client stakeholders
- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining
- Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.
- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
- Coding skills in one or more programming languages such as Python, SQL
- Hands-on experience with popular ML frameworks such as TensorFlow
- Expert / high level of understanding on language semantic concepts & data standardization
Hybrid (3 days Work from Office) (ref:hirist.tech)
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