AI Engineer
October 14
Description
• Develop and deploy AI applications using advanced programming skills in Python and experience with frameworks like LangChain, llama-index, etc. • Integrate state-of-the-art generative AI technologies, including LLMs, to enhance our product offerings and consulting services. • Collaborate with cross-functional teams, including Data Scientists and Data Engineers, to design scalable solutions that address complex business challenges. • Apply knowledge of NLP concepts such as embeddings, retrieval augmented generation, and named entity recognition to improve AI application performance. • Ensure efficient model productionization in collaboration with MLOps and Data Engineering teams. • Deploy and manage AI solutions using Kubernetes, ensuring high availability and performance. • Keep abreast of the latest AI technology trends and advancements to drive innovation within the organization.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field with a strong focus on AI/ML and NLP. • At least 2 years of relevant experience in developing AI applications, with a portfolio demonstrating expertise in generative AI and NLP. • Advanced proficiency in Python and familiarity with NLP libraries and frameworks. • Experience with big data technologies (e.g., Apache Spark), cloud platforms (AWS, Azure, GCP), and data lake/delta lake architectures. • Strong understanding of Kubernetes, containerization, and orchestration techniques. • Excellent problem-solving skills, creativity in applying AI/ML techniques to business problems, and effective communication and teamwork abilities
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