AI Engineer

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.

Required qualifications and experience:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field with a minimum of second class upper.
• 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.

What Impact Will You Make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential.

How you’ll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. https://deloitte.zoomforth.com/du 

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. https://www2.deloitte.com/global/en/pages/careers/articles/benefits.html

Our purpose

Deloitte is led by a purpose: to make an impact that matters. Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte’s impact on the world. https://www2.deloitte.com/global/en/pages/about-deloitte/articles/impact-that-matters.html

Recruiter Tips

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to.

Please note that candidates that do not attach their resumes and academic credentials will not be considered.

Applications from all qualified individuals should be sent by 28th August 2024.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.