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Latest Job: Machine Learning Engineer – Deep Learning & Large Language Models (MLOps) at Uniccon Group

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    Machine Learning Engineer – Deep Learning & Large Language Models (MLOps)

    • Job Type Full Time
    • Qualification BA/BSc/HND , MBA/MSc/MA
    • Experience
    • Location Abuja
    • Job Field ICT / Computer&nbsp
    • Uniccon Group is looking for a skilled Machine Learning Engineer with a strong background in deep learning and large language models (LLMs), particularly with experience in deploying and managing models using MLOps best practices.
    • The ideal candidate will have hands-on experience with Hugging Face Transformers, Docker, PyTorch, and Python, along with a deep understanding of Machine Learning and LLMs.
    • This role offers the opportunity to work on exciting projects that push the boundaries of AI and drive innovation.


    • Develop and deploy deep learning models, with a focus on large language models, using PyTorch and Hugging Face Transformers.
    • Update and Utilize currently existing Deployment architecture for efficient and scalable deep learning Inferencing.
    • Collaborate with cross-functional teams to understand project requirements and design scalable solutions that leverage LLMs.
    • Implement MLOps best practices for model deployment, monitoring, and management, ensuring reliability and scalability.
    • Optimize and fine-tune models for performance and efficiency, considering factors such as speed, accuracy, and resource utilization.
    • Conduct research to stay updated on the latest advancements in deep learning, LLMs, and MLOps, and incorporate best practices into our workflows.
    • Work closely with data engineers to ensure seamless integration of data pipelines with model deployment processes.
    • Develop automated testing and evaluation frameworks to assess model performance and identify areas for improvement.

    Qualification and Skills –

    • Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field.
    • Proven experience in developing and deploying deep learning models, with a focus on large language models.
    • Strong proficiency in PyTorch,Mlflow, Docker, Kubernetes, Hugging Face Transformers, and Python. Experience with MLOps best practices and tools for model deployment and management.
    • In-depth understanding of parallel programming and distributed deep learning training.
    • Deep understanding of large language models and their applications across various domains.
    • Solid understanding of machine learning concepts and algorithms. Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

    Method of Application

    Interested and qualified candidates should forward their CV to: [email protected] using the position as subject of email.

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