Job Description

Job Role - Data ScientistJob Location- BangaloreRole 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.

• 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 strong experience in NLP/NLG/NLU applications using any popular Deep l earning frameworks like PyTorch, Tensor Flow, BERT, Lang chain and GPT (or similar models) Open CV
• 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
• Experience with application development practices at scale, from problem definition to deployment
• Familiarity with any Cloud services such as AWS, Sage Maker etc. is an added advantage
• Develop and apply Statistical Modelling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications
• Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain.

Saaki Argus & Averil Consulting