Data Scientist

10 hours ago

Bangalore Rural District Karnataka, India Saaki Argus & Averil Consulting Full time

Job Role - Data Scientist

Job Location
- Bangalore

Role Summary:
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 mind set to client stakeholders using textual data.

Desired Profile:

- Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute
- 3-6 years of experience using analytical tools/languages like Python on large-scale data
- Must have Semantic modelling & NER experience
- Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases
- Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering
- Must have worked using Azure services for ML & GenAI projects
- Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains
- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.
- 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. Experience in productionizing & retraining models
- Total work experience of 3 to 6 years, 3+ years in Advanced NLP, 1-year experience in GenAI
- 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
- Expert / high level of understanding on language semantic concepts & data standardization
- Proven track record of successful models and practical implementation
- Hands-on experience with popular ML frameworks such as TensorFlow
- Familiarity with any Cloud services such as AWS, Sage Maker etc. is an added advantage
- Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain.

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