138 AI Programmer jobs in Nigeria

About the Role

We are looking for a talented AI Developer to join our team. This role is ideal for someone who is passionate about building and deploying AI-driven solutions, working with machine learning models, and contributing to innovative projects that make real business impact.

Key Responsibilities

• Design, develop, and implement AI and machine learning models.
• Work with large datasets to train, validate, and optimize models.
• Collaborate with product and engineering teams to integrate AI solutions into applications.
• Stay up to date with the latest advancements in AI and machine learning.
• Ensure scalability, efficiency, and accuracy of deployed models.

Requirements

• Proven experience as an AI / Machine Learning Developer.
• Strong knowledge of Python and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience with NLP, computer vision, or recommendation systems is a plus.
• Understanding of cloud platforms (AWS, GCP, Azure) is an advantage.
• Excellent problem-solving skills and ability to work independently.

Perks & Benefits

• Competitive salary of ₦450,000 monthly.
• 100% Remote – flexible working environment.
• Opportunity to work on innovative projects with a global impact.
• Growth-focused team with career advancement opportunities.

Job Type: Full-time

Pay: ₦00, 0,000.00 per month

We're looking for a Fullstack AI Developer with hands-on experience building AI tools and autonomous agents from the ground up — from ideation and coding to deployment, testing, and optimization.

You'll design, build, and deploy AI-powered automation systems that integrate across ERP and eCommerce ecosystems, driving real operational impact in areas such as order management, logistics, inventory, and customer experience.

This is a highly technical, product-focused role — ideal for a builder who understands both AI engineering and real-world application performance.

Key Responsibilities

• Design, build, and deploy AI agents and multi-agent systems for automating real business processes in ERP and eCommerce environments.
• Develop, train, and optimize machine learning models, leveraging frameworks like LangChain, CrewAI, and OpenAI API.
• Architect scalable backend systems using Python (FastAPI/Django/Flask) with PostgreSQL databases and RESTful APIs.
• Integrate AI tools seamlessly into ERP, Shopify, and other commerce or logistics platforms.
• Leverage GCP and Firebase for cloud deployment, model hosting, and database synchronization.
• Manage and deploy workloads on virtual machines (e.g., Linode, Azure VM, GCP Compute) for scalability and cost efficiency.
• Build and test real-time AI-powered microservices and APIs.
• Deploy and monitor AI systems across staging and production environments with emphasis on reliability and security.
• Collaborate with internal developers, data engineers, and product teams to translate business needs into deployable AI tools.
• Continuously optimize performance, reduce latency, and improve reliability through data-driven iteration.
• Document workflows, APIs, and architecture for future maintenance and team knowledge sharing.

Technical Skills & Experience

Must-Have:

• 4–7+ years of fullstack or AI development experience.
• Proven record of building and deploying AI tools or agents end-to-end (not just integrations or proof of concepts).
• Strong in Python, FastAPI, PostgreSQL, and LangChain / CrewAI frameworks.
• Experience with GCP (Vertex AI, Compute Engine, Cloud Run, Firebase).
• Experience with virtual machine hosting (e.g., Linode, Azure, or GCP VM).
• Hands-on with RESTful API development, microservices, and cloud infrastructure.
• Knowledge of Docker and CI/CD pipelines for automated deployments.
• Practical understanding of AI model integration, orchestration, and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience working with ERP and eCommerce systems
• Ability to test, troubleshoot, and fine-tune AI-driven systems for production reliability.

Nice-to-Have:

• Experience deploying AI workflows using LangGraph, OpenDevin, or AutoGen frameworks.
• Familiarity with Firebase Functions, Cloud Storage, and Firestore for backend synchronization.
• Knowledge of GCP IAM & monitoring tools (Cloud Logging, Prometheus, Grafana).
• Understanding of prompt chaining, tool calling, and LLM orchestration design.
• Background in machine learning lifecycle management (MLOps).

What We're Looking For

• You're a hands-on builder, not just an integrator.
• You can take a concept and translate it into a deployed, working AI system.
• You understand both backend systems and AI orchestration.
• You thrive in a fast-paced, cross-functional environment.
• You care about performance, reliability, and scalability — not just results in a demo.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, AI, or related field.
• 2+ years experience developing and deploying AI-powered systems for ERP or eCommerce.
• Familiarity with logistics, supply chain automation, or retail systems.
• Experience in GCP project management and Firebase integration.
• Prior contributions to open-source AI frameworks or libraries (a plus).

Compensation & Benefits

• Competitive monthly salary (based on experience).
• Performance-based incentives and growth opportunities.

How to Apply

Send your portfolio link showcasing:

• AI projects you've built end-to-end
• ERP or eCommerce integrations you've delivered
• Tools or agents you've developed and deployed in production

Job Types: Full-time, Part-time, Contract

Pay: ₦400, ₦800,000.00 per month

Experience:

• fullstack or AI development: 4 years (Preferred)
• building and deploying AI tools or agents end-to-end: 2 years (Preferred)
• GCP (Vertex AI, Compute Engine, Cloud Run, Firebase): 4 years (Preferred)
• ERP, Logistics or eCommerce systems: 2 years (Preferred)
• Virtual machine hosting (e.g., Linode, Azure, or GCP VM): 2 years (Preferred)
• Python, FastAPI, PostgreSQL, and LangChain / CrewAI : 4 years (Preferred)

Today

Remote (Work From Home) Full Time

Healthcare NGN 250, ,000 Plus Commission

Easy Apply

AI Machine Learning & Deep Learning Python AI Frameworks (TensorFlow PyTorch Keras) Computer Vision Natural Language Processing (NLP) Complex Data Analysis Problem-Solving Google Cloud MLOps Data Versioning Tools

We are seeking a highly skilled and motivated AI Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models that form the core of our medical AI platform. You will work closely with our medical team to understand clinical needs and translate them Smart Systems.

• Minimum Qualification : Degree
• Experience Level : Mid level
• Experience Length : 3 years
• Working Hours : Full Time

Responsibilities:

• Design, train, and validate deep learning models for tasks such as medical image analysis (e.g., analyzing X-rays, MRIs), predictive diagnostics, and natural language processing (NLP) of clinical notes.
• Process and analyze large, complex medical datasets, ensuring data quality, integrity, and privacy.
• Collaborate with software engineers to integrate AI models into our production systems and clinical workflows.
• Stay up-to-date with the latest advancements in AI, machine learning,& medical technology to drive innovation within the company.
• Develop and implement algorithms for data preprocessing, feature engineering, and model optimization.
• Ensure all solutions comply with medical industry regulations and data privacy standards (e.g., HIPAA, GDPR).
  Author technical documentation, reports, and research papers on the findings and performance of the models.

Requirements:

• Minimum Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• Proven experience (3+ years) in developing and deploying machine learning & deep learning models in a professional environment.
• Strong proficiency in Python and hands-on experience with major AI frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of computer vision techniques and experience working with medical imaging data (DICOM, NIfTI).
• Familiarity with Natural Language Processing (NLP) techniques for analyzing unstructured text.
• Excellent problem-solving skills and the ability to work with complex, high-dimensional datasets.
  Strong communication skills and the ability to collaborate effectively in a cross-functional team.

Preferred Qualifications:

• Ph.D. in a relevant field.
• Experience working in the healthcare or medical technology industry.
• Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) and MLOps principles.
• A portfolio of relevant projects or a track record of publications in reputable AI/ML conferences or journals.
  Knowledge of data versioning and model management tools.

What We Offer:

• A competitive salary and comprehensive benefits package.
• The opportunity to work on a meaningful project that has a real-world impact on healthcare.
• A collaborative, innovative, and supportive work environment.
• Opportunities for professional growth and continuous learning.
• Flexible work arrangements.

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

Shape the future of interactive AI

Revoui is on a mission to revolutionize how users interact with AI. We're building intelligent AI agents & systems that learn from past interactions to deliver smarter, more human like experiences. This is an early stage opportunity to be part of a team shaping the future of AI.

What You'll Do:

Develop and refine AI models that drive interactive experiences.

Work with human reviewers and past interaction data to improve AI responses.

Collaborate on cutting edge AI research to enhance our agents' intelligence and adaptability.

Contribute to architecture, pipelines, and model deployment strategies.

What We're Looking For:

Experience in machine learning, deep learning, or NLP.

Strong programming skills in Python, ML frameworks, Data Handling, Model Training & Evaluation.

Passion for building AI that interacts with humans naturally.

Self starter mindset, comfortable in an early stage, evolving environment.

Influence the design and direction of our AI products.

Work with a visionary team on next generation AI interaction.

PLEASE NOTE:

Resumes or cover letters generated using AI tools (e.g, ChatGPT or other AI assistants) will not be considered. We value authentic applications and want to see your true experience and skills.

About Us

At
Immigify
, we are transforming the U.S. immigration journey through smart technology and expert guidance. Our platform combines AI-powered tools with trusted human support to simplify one of life's most complex processes — immigration.

We believe immigration should be transparent, stress-free, and accessible. By blending innovation with empathy, we empower individuals, families, and businesses to focus on building their future in the United States.

At Immigify, you'll join a fast-growing, mission-driven team where your work directly impacts lives. Our culture is collaborative, innovative, and inclusive — we value people who bring fresh ideas, take ownership, and want to make a global difference.

Job Description

We are looking for a
Machine Learning Engineer
with expertise in
LangChain
to join our dynamic team. You will design, build, and deploy scalable ML solutions that power next-generation immigration tools. Working closely with data scientists, software engineers, and product managers, you'll create AI-driven applications that deliver real-world impact.

Key Responsibilities

• Design, develop, and deploy machine learning models using
Python
and
LangChain
.

• Collaborate with cross-functional teams to translate business requirements into ML solutions.

• Build, optimize, and maintain production-ready ML pipelines and LangChain applications.

• Conduct data preprocessing, feature engineering, and model performance evaluations.

• Implement best practices for model monitoring, versioning, and deployment.

• Stay current with advancements in ML, LLMs, LangChain, and generative AI.

Required Qualifications

· Minimum of 2 years' experience.

· Strong proficiency in
Python
and ML libraries (scikit-learn, TensorFlow, PyTorch).

· Hands-on experience with
Lang Chain
for building LLM-powered applications.

· Solid understanding of ML algorithms, statistical modeling, and NLP.

· Experience with data preprocessing, feature engineering, and evaluation techniques.

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

· Ability to write clean, maintainable, and well-documented code.

· Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.

Preferred Qualifications

• Minimum of 2 years' experience.

• Experience with
deep learning frameworks
and NLP/computer vision projects.

• Knowledge of
MLOps
tools and practices.

• Strong communication skills and a collaborative mindset.

What We Offer

· Competitive salary and benefits package.

· remote with flexible work hours.

· Career growth opportunities in a fast-scaling startup.

· An inclusive, innovative, and mission-driven culture.

Qualifications & Experience

This is a 12month Contractual Role, Full Time, can be done Remotely

Education:

o Bachelor's degree in Computer Science, Data Science, or related field (Master's preferred).

Experience:

Atleasst + Years In‐depth experience managing large‐scale ML deployments, advanced knowledge of CI/CD best practices, orchestrating complex pipelines, and leading MLOps projects.
Working knowledge of ML model deployment, basic CI/CD pipelines, Python/PySpark, and one cloud environment (e.g., Azure).

•

Key Skills:

o Proficiency with Azure MLOps components (Azure Machine Learning, Feature Store, Azure DevOps).

o Experience in Python/PySpark for model or pipeline scripting.

o Familiarity with big‐data frameworks (Apache Kafka, Spark) is highly desirable.

o Statistical modelling knowledge to understand how models work and diagnose issues post‐deployment.

o Solid SQL abilities for data manipulation and pipeline integration.

o Effective communication and teamwork skills (collaborating with Data Scientists, Data Engineers, and business stakeholders).

o Understanding of cloud security principles and data governance

Role Description

This is a full-time remote role for a Machine Learning Engineer. The Machine Learning Engineer will be responsible for designing, developing, and implementing machine learning models to solve complex business problems. Daily tasks include data analysis, feature engineering, model training and validation, and deploying models into production. Collaboration with data scientists, software engineers, and business stakeholders is essential to deliver machine learning solutions that drive business value.

Qualifications

• Proficiency in programming languages such as Python and R
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn
• Strong understanding of statistical and mathematical principles
• Experience with data analysis, data preprocessing, and data visualization
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Excellent problem-solving skills and ability to work independently and remotely
• Strong communication skills to collaborate with cross-functional teams
• Master's degree in Computer Science, Data Science, Machine Learning, or related field preferred
• Experience in the performance improvement or marketing industry is a plus

Job Title: Machine Learning Engineer (Healthcare)

Location: Remote (Nigeria / Global)

Company: Amylase Inc.

About Amylase

Amylase Inc. is a tech company applying engineering principles to solve healthcare problems. Amylase is reimagining the future of medicine with our flagship product, an intelligent EMR and clinical copilot that seamlessly integrates into one system. Our mission is to transform healthcare from a system of fragmented clinical tools and operations into a connected, intelligent ecosystem. We are at the earliest stage; meaning you'll help shape the architecture, models, and infrastructure of a platform that could define the next decade of healthcare.

Role Overview

We are looking for a Machine Learning Engineer to join our founding team and lead the development of the AI brain behind our flagship product. You will design and deploy models for clinical data processing, predictive analytics, natural language understanding (medical notes and prescriptions), and decision support for healthcare providers. This role is perfect for someone who thrives in
early-stage startup environments
, can work across research and production, and wants to see their work directly impact doctors, patients, and health systems.

Responsibilities

• Build and optimize ML models for:
• Clinical text understanding
  (NLP for doctor's notes, prescriptions, discharge summaries).
• Predictive analytics
  (e.g., risk scoring, disease progression forecasts).
• Recommendation systems
  (drug interactions, referral suggestions, HMO approval pathways).
• Collaborate with backend engineers to integrate ML into the EMR (real-time inference pipelines).
• Develop data pipelines to clean, normalize, and anonymize healthcare data (structured + unstructured).
• Research state-of-the-art techniques (LLMs, transformers, multimodal AI for imaging + text) and adapt them to production.
• Ensure compliance with healthcare standards (HIPAA/GDPR) when handling sensitive data.
• Contribute to technical strategy: choosing frameworks, cloud infrastructure, and ML deployment best practices.

Qualifications

Required:

• Strong experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on work with
  NLP
  (transformers, BERT/GPT-style architectures).
• Experience deploying ML models into production (e.g., via Docker, FastAPI, Kubernetes).
• Knowledge of
  data engineering
  concepts (ETL, databases, APIs).
• Ability to work in a fast-paced startup environment with attention to details.

Preferred:

• Prior experience in
  healthcare ML
• Familiarity with regulatory environments
• Experience with
  cloud ML platforms
  (AWS Sagemaker, GCP Vertex AI, Azure ML).
• Understanding of
  medical ontologies
  (SNOMED CT, ICD-10, RxNorm).

What We Offer

• A competitive salary, early-employee equity & meaningful ownership.
• Opportunity to shape the
  core AI product
  of a global healthtech startup.
• Remote-first culture with global collaboration.
• Direct impact: your models will be used by doctors and hospitals to save lives.

How to Apply

Send your CV and GitHub/portfolio to Amylase inc. with the title 'ML Engineer Position'