53 AI Ml Engineer jobs in Nigeria

Company Description

CloudPlexo is an advanced AWS partner that helps businesses unlock the power of the cloud through
Specialist in innovative public cloud solutions for our global customers. CloudPlexo is an Advanced AWS Consulting Partner. CloudPlexo focuses on helping businesses globally leverage technology efficiently on the cloud. From Cloud Storage and Backup/Recovery to AI development and cloud migration, CloudPlexo ensures that businesses achieve their IT and business objectives through digital transformation.

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. You will work closely with cloud engineers, solutions architects, and business stakeholders to build scalable, production-ready AI systems that drive real-world impact.

Key Responsibilities:

• Design, develop, and deploy machine learning models using AWS AI/ML services (SageMaker, Bedrock, Lex, Rekognition, etc.).
• Optimize and fine-tune ML models for performance, scalability, and cost-efficiency.
• Implement MLOps pipelines for automated training, deployment, and monitoring.
• Collaborate with data engineers to build robust data pipelines (Glue, Athena, Redshift, etc.).
• Work with AWS services like Lambda, Step Functions, ECS, and S3 to integrate AI/ML into cloud-native applications.
• Stay updated with the latest advancements in generative AI, LLMs, and deep learning.
• Provide technical guidance to clients and internal teams on AI/ML best practices.

Required Skills and Experience:

• 3+ years of hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python, TensorFlow, PyTorch, or scikit-learn.
• Experience with AWS AI/ML stack (SageMaker, Bedrock, Claude, Titan, etc.).
• Knowledge of MLOps tools (SageMaker Pipelines, MLflow, Kubeflow).
• Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus.
• AWS certifications (AWS Certified ML – Specialty) are highly desirable.
• Strong problem-solving skills and ability to work in fast-paced environments.

Today

Lagos Full Time

IT & Telecoms NGN 250, ,000

Easy Apply

The AI/ML Engineer will integrate advanced AI into our platforms, working on LLMs, automation engines, and applied ML systems. You'll ensure SDC Digital's products are powered by scalable and intelligent AI.

• Minimum Qualification : Diploma
• Experience Level : Mid level
• Experience Length : 3 years

Responsibilities:

• Integrate AI APIs (OpenAI, Mistral, Anthropic, LLaMA).
• Design persona logic and automation engines for our flagship system.
• Collaborate with the AI Prompt Engineer to embed prompt workflows into products.
• Work with the Solution Architect to ensure scalable AI integration.
  Apply AI models across multiple internal and client projects.

Requirements:

• 3+ years of applied AI/ML engineering experience.
• Proficiency in Python, TensorFlow/PyTorch.
• Experience integrating LLMs into SaaS platforms.
• Knowledge of vector databases (Pinecone, Weaviate).

Responsibilities

Data Engineering & Preparation: Ingest, parse (from PDFs and other formats), and structure our unique dataset of JAMB/WAEC curriculum, past questions, and textbooks into a pristine, model-ready format (JSONL).

Model Fine-Tuning: Implement and manage the fine-tuning process for open-source LLMs (e.g., Mistral 7B, Llama 4 Maverick) using Parameter-Efficient Fine-Tuning (PEFT/LoRA) techniques on a cloud GPU environment.

Quantization & Optimization: Quantize and optimize fine-tuned models (e.g., to 4-bit) for efficient on-device, offline inference in our mobile application.

API Development: Develop, test, and deploy a scalable, high-performance API (using FastAPI) that exposes the AI Tutor's core capabilities.

Prompt Engineering: Design, test, and refine sophisticated prompts and "meta-prompts" to enable the AI to perform complex tasks, such as generating step-by-step reasoning, personalized study plans, and comprehensive classroom analytics reports.

RAG Implementation: Implement a Retrieval-Augmented Generation (RAG) system using vector databases to provide the AI with deep knowledge from our textbook library.

Deployment & MLOps: Containerize the AI/ML services using Docker and manage their deployment and maintenance on our cloud infrastructure (AWS).

Qualifications

Strong proficiency in Python and common ML/Data Science libraries (PyTorch, Pandas, etc.).

* Hands-on experience with the Hugging Face ecosystem (transformers, datasets, peft).

* Demonstrable experience in fine-tuning and deploying Large Language Models (LLMs).

* Solid understanding of PEFT techniques like LoRA and quantization methods.

* Experience building and deploying RESTful APIs (FastAPI or Flask is a strong plus).

* Familiarity with containerization (Docker) and cloud platforms (AWS, GCP, or Azure).

* A proactive, problem-solving mindset and the ability to work independently.

How to Apply:

Please submit your CV and a brief cover letter or a link to your portfolio/GitHub profile showcasing your relevant projects to (Email Address to be Inserted) with the subject line "AI/ML Engineer Application" before the deadline on Friday, August 22, 2025.

Onsite Job: Ikeja, Lagos

About Punch:

Punch is a full-service digital agency dedicated to creating exceptional digital experiences. We are expanding our team in Lagos and seeking experienced AI/ML Developers to join us. If you are passionate about innovation and thrive in dynamic environments, we want to hear from you.

What We Look For:

We value adaptability, a growth mindset, and a commitment to professional development. At Punch, we provide meaningful opportunities to grow your skills while working on impactful projects.

Come build with us

Responsibilities:

• Study and transform data science prototypes into scalable solutions.
• Design and develop machine learning systems and applications based on requirements.
• Research, implement, and optimize AI/ML algorithms and tools.
• Select appropriate datasets and data representation techniques.
• Run AI tests and experiments, analyze results, and fine-tune models as needed.
• Train, retrain, and improve machine learning systems when necessary.
• Extend existing machine learning libraries and frameworks to enhance capabilities.
• Conduct statistical analysis to validate and refine AI/ML models.
• Stay updated with the latest trends and advancements in AI/ML.

Required Skills and Qualifications

Technical Skills:

• Experience developing applications on Linux environments.
• Proficiency with DevOps tools: Docker, Git (GitLab, GitHub), and CI/CD pipelines.
• Familiarity with modern Computer Vision techniques.
• Understanding of high-performance computing and parallel processing.
• Knowledge of network/messaging protocols (UDP, ZeroMQ, RESTful API).
• Experience interfacing with databases (SQL, MongoDB, etc.).
• Strong command of ML frameworks (Keras, PyTorch) and libraries (scikit-learn).

Programming Skills:

• Deep understanding of data structures, data modeling, and software architecture.

Analytical Skills:

• Strong background in math, probability, statistics, and algorithms.
• Proven ability to perform statistical analysis and interpret AI/ML test results.

Professional Experience:

• Proven track record as a Machine Learning/AI Engineer or in a similar role.
• Experience building and deploying ML applications in real-world scenarios.

Benefits at Punch:

• Competitive Salary & Performance Bonuses
• Paid Time Off & Holidays
• Health & Wellness Support
• Professional Growth & Development
• Collaborative Culture & Recognition
• Operational Support & Relocation Assistance

Job Type: Full-time

Job Type: Full-time

Ability to commute/relocate:

• Lagos: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Location:

• Lagos (Preferred)

Job Type: Full-time

Job Vacancy: AI/ML Engineer

Company: ExamsTutor

Location: Lagos, Nigeria (Remote)

Job Type: Full-time

Salary: Competitive

Application Deadline: September 29, 2025

About Us

ExamsTutor is a fast growing edTech startup on a mission to revolutionize exam preparation in West Africa. We are building the region's first truly inclusive, AI-powered learning platform to ensure every student, regardless of their location, or ability, has the tools to succeed. We are a fast-paced, ambitious team dedicated to solving one of the most critical challenges in education.

Role Overview

We are looking for a highly skilled and passionate AI/ML Engineer to take on the critical task of building the "brains" of our platform: our personalized AI Tutor. You will be responsible for the entire lifecycle of our proprietary Large Language Models (LLMs), from data processing and fine-tuning to API deployment. This is a unique opportunity to work with cutting-edge models and see your work directly impact the lives of millions of students.

Key Responsibilities

* Data Engineering & Preparation: Ingest, parse (from PDFs and other formats), and structure our unique dataset and textbooks into a pristine, model-ready format (JSONL).

* Model Fine-Tuning: Implement and manage the fine-tuning process for open-source LLMs using Parameter-Efficient Fine-Tuning (PEFT/LoRA) techniques on a cloud GPU environment.

* Quantization & Optimization: Quantize and optimize fine-tuned models (e.g., to 4-bit) for efficient on-device, offline inference in our mobile application.

* API Development: Develop, test, and deploy a scalable, high-performance API (using FastAPI) that exposes the AI Tutor's core capabilities.

* Prompt Engineering: Design, test, and refine sophisticated prompts and "meta-prompts" to enable the AI to perform complex tasks, such as generating step-by-step reasoning, personalized study plans, and comprehensive classroom analytics reports.

* RAG Implementation: Implement a Retrieval-Augmented Generation (RAG) system using vector databases to provide the AI with deep knowledge from our textbook library.

* Deployment & MLOps: Containerize the AI/ML services using Docker and manage their deployment and maintenance on our cloud infrastructure (AWS).

Required Skills & Qualifications

* Strong proficiency in Python and common ML/Data Science libraries (PyTorch, Pandas, etc.).

* Hands-on experience with the Hugging Face ecosystem (transformers, datasets, peft).

* Demonstrable experience in fine-tuning and deploying Large Language Models (LLMs).

* Solid understanding of PEFT techniques like LoRA and quantization methods.

* Experience building and deploying RESTful APIs (FastAPI or Flask is a strong plus).

* Familiarity with containerization (Docker) and cloud platforms (AWS, GCP, or Azure).

* A proactive, problem-solving mindset and the ability to work independently.

Why Join ExamsTutor?

* Competitive salary

* Cutting-Edge Tech

* Growth Opportunity

* Strong Team

How to Apply:

Please submit your CV and a link to your portfolio/GitHub profile showcasing your relevant projects to with the subject line "AI/ML Engineer

Application deadline: September 29, 2025.

Molaprise - Lagos, ,, Nigeria

AI/ML ENGINEER

Location: (Ghana/Nigeria) - Hybrid

Type: Fulltime / Consultant

About the Role:

We're seeking a curious and data-driven AI/ML Engineer who thrives on uncovering patterns where others see noise. You'll join a small, high-trust team focused on applying AI/ML in novel, real-world contexts. Your work will go beyond experiments — you'll help design intelligent systems that learn, adapt, and evolve in production environments.

What You'll Do:

Model Development & Experimentation

• Research, design, and train machine learning models for predictive analytics, anomaly detection, and optimization tasks
• Build prototypes and run experiments to validate hypotheses and model performance
• Continuously refine algorithms for accuracy, scalability, and efficiency

Data Analysis & Insights

• Explore large, complex datasets to uncover actionable insights
• Translate findings into features, signals, and improvements that enhance product functionality
• Ensure data quality, integrity, and preprocessing pipelines for ML readiness

Cross-Functional Collaboration

• Work closely with product managers, engineers, and domain experts to integrate models into production systems
• Communicate complex ML concepts to both technical and non-technical stakeholders
• Support ongoing monitoring, evaluation, and retraining of deployed models

Deployment & Optimization

• Implement scalable ML solutions in real-world environments
• Leverage cloud ML platforms and APIs for training, deployment, and monitoring
• Optimize runtime performance to balance accuracy, speed, and cost

What You Bring:

• 3+ years of hands-on experience in machine learning, applied AI, or data science
• Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Demonstrated ability to design experiments, analyze results, and iterate quickly
• Comfort working independently in unstructured problem spaces and ambiguous environments
• A mindset of curiosity, experimentation, and continuous learning

Why Join Us?

• Be part of a phase 2 initiative, applying AI/ML to cutting-edge, real-world problems
• Work in a high-trust, collaborative environment where your contributions drive impact
• Hybrid flexibility with consultant or full-time options
• Competitive compensation and opportunities for ownership of AI/ML strategy

Compensation DOE

Posted: Friday, September 12, 2025

Job # 59

Job Overview

Role: AI/ML Engineer – Adeon AI Health App

Objective:

To design, build, and deploy machine learning models that power Adeon AI's core features, including body part scanning, retina AI analysis, asthma detection (via cough and breathing sounds), and blood pressure estimation.

Key Duties & Responsibilities

1. Model Development

2. Develop and fine-tune computer vision models for:

3. Skin/body anomaly detection from images
4. Retina scan analysis using fundus images
5. Train and validate audio-based models for:
6. Cough sound analysis (asthma indicator)

7. Breathing pattern classification

8. Data Management

9. Acquire, clean, label, and preprocess datasets (e.g. HAM1000, Coswara, EyePACS)

10. Ensure data is anonymized and meets health data compliance (e.g. HIPAA, NDPR)

11. Model Optimization for Mobile

12. Convert models to TensorFlow Lite, ONNX, or Core ML

13. Optimize for edge inference: low-latency, memory efficiency

14. Integration with App Backend

15. Work with mobile/backend engineers to integrate ML inference into:

16. Android/iOS apps via Flutter or React Native

17. AWS services like Lambda, SageMaker, or API Gateway

18. Set up inference endpoints if using cloud hosting

19. Validation & Testing

20. Conduct cross-validation and real-world scenario testing

21. Collaborate with health advisors to verify clinical relevance

22. Benchmark models for accuracy, precision, recall, latency

23. Monitoring & Improvement

24. Implement performance monitoring and logging of AI models in production

25. Continuously iterate based on feedback and real user data

26. Documentation & Deployment

27. Maintain clean documentation of models, training pipelines, and APIs

28. Create reproducible training workflows (preferably using MLflow, DVC, or SageMaker pipelines)

Required Skills

• Proficient in Python, TensorFlow, PyTorch, or Keras
• Experience in computer vision and audio signal processing
• Familiar with deploying models to mobile or edge devices
• Experience with cloud AI platforms (AWS SageMaker, GCP Vertex AI)
• Strong understanding of model evaluation and error analysis

Preferred Experience

• Working with medical imaging datasets (e.g., dermatology or ophthalmology)
• On-device AI model deployment (TensorFlow Lite, Core ML)
• Previous work on mobile health or telemedicine apps
• Familiarity with health data privacy and regulatory standards

Job Types: Full-time, Temporary

Pay: ₦250, ₦300,000.00 per month

Experience:

• AI models: 3 years (Preferred)

Company Description

CloudPlexo is an advanced AWS partner that helps businesses unlock the power of the cloud through Specialist in innovative public cloud solutions for our global customers. CloudPlexo is an Advanced AWS Consulting Partner. CloudPlexo focuses on helping businesses globally leverage technology efficiently on the cloud. From Cloud Storage and Backup/Recovery to AI development and cloud migration, CloudPlexo ensures that businesses achieve their IT and business objectives through digital transformation.

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. You will work closely with cloud engineers, solutions architects, and business stakeholders to build scalable, production-ready AI systems that drive real-world impact.

Key Responsibilities:

• Design, develop, and deploy machine learning models using AWS AI/ML services (SageMaker, Bedrock, Lex, Rekognition, etc.).
• Optimize and fine-tune ML models for performance, scalability, and cost-efficiency.
• Implement MLOps pipelines for automated training, deployment, and monitoring.
• Collaborate with data engineers to build robust data pipelines (Glue, Athena, Redshift, etc.).
• Work with AWS services like Lambda, Step Functions, ECS, and S3 to integrate AI/ML into cloud-native applications.
• Stay updated with the latest advancements in generative AI, LLMs, and deep learning.
• Provide technical guidance to clients and internal teams on AI/ML best practices.

Required Skills and Experience:

• 4+ years of hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python, TensorFlow, PyTorch, or scikit-learn.
• Experience with AWS AI/ML stack (SageMaker, Bedrock, Claude, Titan, etc.).
• Knowledge of MLOps tools (SageMaker Pipelines, MLflow, Kubeflow).
• Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus.
• AWS certifications (AWS Certified ML – Specialty) are highly desirable.
• Strong problem-solving skills and ability to work in fast-paced environments.

Role Description

This is a full-time on-site role for a Machine Learning Engineer located in Lagos. The Machine Learning Engineer will be responsible for designing and implementing machine learning models, analyzing data sets to identify patterns and trends, and developing algorithms to optimize performance. The individual will collaborate with cross-functional teams to integrate machine learning solutions and participate in the testing and deployment of new models. The role requires staying up-to-date with the latest advancements in the field to ensure the use of cutting-edge techniques.

Qualifications

• Strong skills in Pattern Recognition and Neural Networks
• Proficiency in Computer Science and Algorithms
• Solid understanding of Statistics and data analysis
• Experience in developing and deploying machine learning models
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in the technology or software development industry is a plus