• Application Deadline:
• Position: AI Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 years


• Location Lagos


• Job Field ICT / Computer 
  

Job Description

We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and experience with various AI frameworks and tools. This role requires hands-on experience in developing and deploying AI models, along with proficiency in programming and cloud technologies.

Key Responsibilities:

• Design, develop, and implement AI and machine learning models using supervised and unsupervised algorithms, including regression, classification, ensemble models, RNN, LSTM, and GRU.


• Utilize deep learning algorithms and artificial neural networks to develop predictive and prescriptive analytics solutions.


• Apply natural language processing (NLP) techniques for text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.


• Leverage LangChain and Open LLM frameworks for tasks such as summarization, classification, named entity recognition, and question answering.


• Develop generative AI techniques, including prompt engineering and working with Vector DB, and various large language models (LLMs) like OpenAI, LlamaIndex, Azure OpenAI, and other open-source LLMs.


• Gain hands-on experience with Generative AI technologies, including Retrieval-Augmented Generation (RAG) architecture, fine-tuning techniques, and inferencing frameworks.


• Work with big data technologies and frameworks to manage and analyze large datasets.


• Utilize Microsoft Azure for building and monitoring CI/CD pipelines, ensuring efficient and reliable deployment of AI models and applications.


• Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that meet organizational needs.


• Stay updated with the latest advancements in AI and machine learning technologies, and implement best practices.

Qualifications

• Bachelor’s degree (B.Sc., B.Eng, B.Tech., HND, etc.) in Computer Science, Engineering, Information Technology, or related field with a minimum of second class upper degree/upper credit.


• Have minimum of a credit in five (5) O ’levels subjects including Mathematics and English in one sitting only.


• Strong proficiency in programming languages such as Python and SQL.


• A minimum of 3 years of experience in predictive and prescriptive analytics, including machine learning and deep learning algorithms.


• At least 2 years of experience in NLP, text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.


• 1+ years of experience in using LangChain and Open LLM frameworks for various NLP tasks.


• Proficiency in generative AI techniques and tools, including prompt engineering, Vector DB, and large language models.


• Hands-on experience with generative AI technologies such as RAG architecture, fine-tuning, and inferencing frameworks.


• Familiarity with big data technologies and frameworks.


• Sound knowledge of Microsoft Azure, particularly in building and monitoring CI/CD pipelines.


• Excellent problem-solving skills and the ability to work independently and as part of a team.


• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.


• Experience with additional programming languages and tools relevant to AI and machine learning.


• Familiarity with other cloud platforms and AI frameworks.


• Published research or contributions to the AI community through open-source projects or academic papers.