Senior Software Engineer - AI/ML

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2 years of experience in AI, with more than 4 years of hands-on experience in exploratory data analysis, data pipeline development, model development, and model evaluation
• Sound knowledge of theoretical and practical aspects of machine learning.
• Hands-on experience in developing deep learning models, preferably for Natural Language Processing applications.
• Experience with generative AI techniques and model fine-tuning.
• Proficiency in building pipelines for the use of externally hosted and locally hosted Large Language Models (LLMs).
• Comprehensive experience and detailed knowledge in implementing, enhancing, and evaluating RAG implementations/pipelines.
• Familiarity with orchestration layers such as LangChain for efficient use of LLMs.
• Experience with evaluation frameworks for Generative AI, particularly in text generation contexts (e.g., RAGAs and TruLens).
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Responsibilities

• Conduct exploratory data analysis to understand data patterns and relationships.
• Develop robust data pipelines for preprocessing and feature engineering.
• Build and evaluate machine learning models for various applications.
• Develop deep learning models, particularly for Natural Language Processing tasks.
• Utilize generative AI techniques, including advanced prompting techniques and model fine-tuning.
• Build pipelines for the use of externally hosted Large Language Models (LLMs) and preferably locally hosted LLMs.
• Implement, enhance, and evaluate Retrieval-Augmented Generation (RAG) implementations and pipelines.
• Use orchestration layers such as LangChain for efficient utilization of LLMs.
• Experience with evaluation frameworks for Generative AI, specifically in the context of text generation (e.g., RAGAs and TruLens).