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Technical Lead
3 months ago
Position: Lead Genai + NLP
Location: Range - 4+ Years
Mandatory Requirement:
- Must have experience in Semantic modeling & NER.
- Experience with pre-trained models, understanding state-of-the-art in embeddings, and their applicability for use cases.
- Strong experience in NLP/NLG/NLU applications using Deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, GPT, and OpenCV.
About the client:
They are a design-led data science firm specializing in solving complex business problems through compelling data stories, insights, and a low-code analytics platform. Their expertise includes Generative AI, AI/ML, Automated Analysis, and Visual Intelligence using modern charts and narratives (NLG).
Job Roles and Responsibilities:
- Assist clients in solving real-world problems by navigating the data-to-insights lifecycle.
- Understand business challenges, analyze the data landscape, and apply Machine Learning & Advanced Analytics to textual data.
- Create, explore, and implement innovative solutions for clients using textual data.
Qualification and Experience:
- Background in Computer Science/Computer Applications or a quantitative discipline from a reputed institute.
- Minimum 4 years of experience in using analytical tools like Python on large-scale data.
- Experience with Semantic modeling & NER.
- Strong experience in NLP/NLG/NLU applications using Deep learning frameworks.
- Knowledge of Gen AI models like Mistral, Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering.
- Familiarity with Azure services for ML & GenAI projects is beneficial.
- Ability to communicate effectively with client stakeholders.
- Understanding of various techniques such as Linear Regression, Gradient Descent, Forecasting, Cluster Analysis, among others.
- Integration of NLP models into business workflows and project impact analysis.
- Comprehensive knowledge of NLP and machine learning.
- Proficiency in programming languages like Python, SQL.
- Hands-on experience with ML frameworks such as TensorFlow.
- Expertise in language semantic concepts and data standardization.
Other Details:
Hybrid work model (3 days Work from Office)
