Senior Software Engineer - AI/ML - CREQ187850 Description 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 (, RAGAs and TruLens). 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 (, RAGAs and TruLens). Primary Location Colombo, Western Province, Sri Lanka Job Type Experienced Primary Skills , Years of Experience 5 Qualification 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 (, RAGAs and TruLens). 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 (, RAGAs and TruLens). Travel No
