17 AI & Emerging Technologies jobs in Nigeria

Today

C

Rest of Nigeria (Niger) Full Time

IT & Telecoms Confidential

• Minimum Qualification :

About the Project:

Centrovance AI is an ambitious EdTech initiative designed to revolutionize assessment, recruitment, and corporate training . Our platform leverages artificial intelligence to automate testing, grading, and interviews — making them smarter, faster, and more secure.

Role Overview:

We are looking for a Lead AI/ML Engineer to spearhead the design, development, and deployment of our AI models. This is a leadership role that requires both technical depth and vision, as you'll guide the AI strategy and collaborate with a multidisciplinary team of developers, designers, and specialists.

Key Responsibilities:

• Design and implement AI/ML models for automated grading, feedback, and facial recognition.
• Develop algorithms for cheat detection, device monitoring, and performance analytics.
• Collaborate with backend ) and frontend teams to integrate AI solutions.
• Lead experimentation, testing, and optimization of AI features.
  Provide technical leadership and mentorship to junior engineers.

Qualifications:

• Strong background in Machine Learning, Deep Learning, and Computer Vision.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with AI model deployment (cloud/offline environments).
• Familiarity with NLP and education/recruitment technology is a plus.
  Leadership experience or proven ability to manage projects and mentor others.

What We Offer:

• Opportunity to lead AI innovation in one of the fastest-growing EdTech projects.
• Collaborative, mission-driven team environment.
  Early-stage influence with potential for leadership growth.

Interested candidates can reach out via LinkedIn or contact us directly at

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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.

**Job Description: Founding AI/ML Specialist

Company Description
EveryGrad is an innovative EdTech startup building an "empire of solutions" focused on empowering Nigerian university students and beyond with the tools and support they need to succeed academically and professionally. Our core brand promise is
"Your Project. Your Peace of Mind."

Role Description**
This is a remote, founding, and contract role for an AI/ML Specialist at EveryGrad. This person will be the technical leader responsible for designing, developing, and deploying the core engine of our flagship product: the EveryGrad AI. The specialist will translate complex academic requirements into precise machine learning models to power the student project generation platform.

Key Responsibilities

• Architect and implement the full AI/ML pipeline for project generation, topic research, and content structuring.
• Integrate the AI model seamlessly with the backend architecture knowledge is a plus).
• Collaborate closely with the Product Designer and Development team to deliver a cohesive, user-friendly AI product.
• Ensure the model can handle complex, localized academic data and provide high-quality, unique output.

Qualifications

• Expertise in Machine Learning, Deep Learning, and Data Science.
• Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong background in full-stack development or data integration is highly desirable.
• Proven ability to work in a structured, deadline-driven team setting.
• Excellent problem-solving and communication skills.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Compensation & Culture
This is an equity-based role as part of the founding team; no initial salary is provided. Compensation is in company shares, making you a part-owner of the company.

We are committed to a professional, high-performance culture.

Ready to Join the Empire?
This is a unique opportunity to lead the development of an AI product that will have a massive real-world impact on education.

If you are a visionary AI software developer ready to build an
"empire of solutions"
from the ground up, we encourage you to apply.

Today

D

Abuja Full Time

IT & Telecoms Confidential

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

Job Summary

We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that enhance our clients' digital transformation initiatives at Data2Bots. You will be responsible for building machine learning models, developing AI algorithms, and integrating AI capabilities into diverse client systems across multiple industries. This role is ideal for someone who enjoys problem-solving, has strong software engineering fundamentals, and is passionate about turning complex data into real-world business applications that drive measurable client outcomes.

Key Responsibilities

• Design, develop, and implement AI models, machine learning algorithms, and deep learning solutions tailored to specific client requirements and business objectives.
• Train and fine-tune machine learning models using large, complex datasets to improve accuracy and performance and deliver actionable business insights.
• Build and optimize AI-driven applications, including natural language processing (NLP), computer vision, recommendation systems, predictive analytics, and intelligent automation solutions.
• Develop and integrate AI models into cloud-based and edge computing environments, ensuring seamless deployment across client infrastructures.
• Work with structured and unstructured data from diverse sources, applying advanced data preprocessing, feature engineering, and data augmentation techniques.
• Collaborate with cross-functional teams, including data scientists, software engineers, DevOps specialists, and business analysts, to align AI solutions with client business objectives and technical requirements.
• Deploy AI models to production environments, monitor their performance in real-world scenarios, and continuously improve them based on client feedback and evolving business needs.
• Research and stay up-to-date with the latest AI advancements, frameworks, and industry best practices to enhance Data2Bots' AI capabilities and competitive advantage.
• Optimize AI models for efficiency, scalability, cost-effectiveness, and real-time processing to meet demanding client performance requirements.
• Ensure AI models adhere to ethical AI principles, fairness standards, bias mitigation techniques, and responsible AI deployment practices across all client engagements.
• Participate in client meetings, technical presentations, and solution demonstrations to communicate AI capabilities and project outcomes effectively.
• Mentor junior team members and contribute to Data2Bots' knowledge base through documentation, best practices, and technical guidelines.

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence, machine learning, data science, or a related technical field.
• Minimum 3-5 years of proven experience in AI/ML model development, training, and production deployment in business environments.
• Expert-level proficiency in Python with extensive experience in AI/ML development; knowledge of R, Java, or Scala is advantageous.
• Hands-on experience with machine learning frameworks, including TensorFlow, PyTorch, Scikit-learn, Keras, and Hugging Face Transformers.
• Strong understanding of deep learning architectures, NLP techniques, computer vision applications, reinforcement learning, and generative AI models (GPT, BERT, CNNs, RNNs, Transformers).
• Extensive experience working with cloud platforms (AWS SageMaker, Azure ML Studio, GCP AI Platform) for AI model deployment and management.
• Knowledge of big data technologies such as Apache Spark, Hadoop, Kafka, or distributed computing frameworks for handling large-scale datasets.
• Experience with MLOps tools and practices, including MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines for model monitoring, retraining, and continuous deployment.
• Strong analytical and problem-solving skills with demonstrated ability to translate business requirements into technical AI solutions.
• Excellent communication and teamwork skills, with proven ability to explain complex AI concepts to both technical and non-technical stakeholders in client-facing environments.
• Experience working in consulting or client services environments with ability to manage multiple projects simultaneously.
• Demonstrated track record of delivering AI projects from conception to production deployment.

Preferred Qualifications

• Experience in deploying AI models in real-world applications such as intelligent chatbots, fraud detection systems, predictive analytics platforms, document processing automation, recommendation engines, and computer vision solutions.
• Familiarity with AI ethics frameworks, model interpretability tools (SHAP, LIME), explainable AI techniques, and bias mitigation strategies.
• Knowledge of edge AI deployment, IoT applications, and mobile AI optimization techniques.
• Experience with specific industry domains, including finance, healthcare, retail, manufacturing, telecommunications, or government sectors.
• Contributions to AI research publications, open-source AI projects, or technical community initiatives.
• Experience with modern data engineering tools and practices, including data lakes, data warehouses, and streaming data processing.
• Knowledge of API development, microservices architecture, and system integration for AI applications.
• Familiarity with agile development methodologies and project management tools used in consulting environments.
• Experience mentoring technical teams or leading AI initiative implementations.
  Certifications in cloud AI services (AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) or relevant AI/ML specializations.

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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

The MLOps Engineer is a key player in operationalizing machine learning workflows, ensuring the seamless transition of models from development to production while optimizing scalability, reliability, and performance. This role involves designing and maintaining robust pipelines for deploying, monitoring, and managing machine learning models in production environments, automating workflows, and integrating AI solutions with existing systems. Collaborating with data scientists, DevOps, and software teams, the MLOps Engineer ensures models remain performant, secure, and compliant throughout their lifecycle. By leveraging cutting-edge tools, implementing best practices, and addressing challenges like model drift and data inconsistencies, this role drives innovation and maximizes the business impact of AI solutions.

Required Skills

Python, C++, Java, TensorFlow, PyTorch, Scikit-learn, Apache Spark, Hadoop, AWS, GCP, Azure, Docker, Kubernetes, MLflow, Git, GitHub, GitLab CI/CD, Terraform, CloudFormation, Prometheus, Grafana, SageMaker, Vertex AI, Azure ML, Reinforcement Learning, NLP, Computer Vision, Edge AI.

Preferred Qualifications:

• Strong knowledge of distributed systems and parallel computing architectures for large-scale machine learning applications.
• Experience with edge computing and developing machine learning solutions for IoT (Internet of Things) devices.
• Familiarity with working in regulated environments, understanding compliance, security protocols, and industry standards (e.g., GDPR, HIPAA).
• Associate-level cloud certification, such as AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Cloud Professional Machine Learning Engineer.
• Experience with real-time data processing and streaming platforms, such as Apache Kafka or Apache Flink, for AI-driven applications.
• Understanding of AI model deployment and monitoring in production systems with a focus on scalability and optimization.
• Familiarity with hybrid cloud environments and multi-cloud strategies to deploy AI workloads across various platforms.

—

• 7+ years of relevant hands-on experience
• 5+ years experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance.
• 5+ years experience supporting enterprise Cloud applications or infrastructure (AWS, Azure, etc.)
• Solid understanding of Helm Charts
• Practical experience with Machine Learning on Kubernetes
• Experience managing clusters with GPU machines
• Experience building and maintaining machine learning platforms and pipelines
• Practical programming and scripting skills (Python preferred)
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail.
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
• Experience with or managing KubeFlow deployments
• Knowledge of Istio
• Comfortable provisioning and debugging complex CI/CD pipelines
• Prior experience with Terraform
• Publications or GitHub repos showcasing your skills
• Experience with TypeScript
• Prior work with LLM's and Agentic Workflows

—

Key Responsibilities:

• Design, develop, and maintain scalable ML pipelines for deploying machine learning models into production environments.
• Collaborate with data scientists and software engineers to translate research models into production-ready applications.
• Build and manage CI/CD pipelines tailored for machine learning workflows, ensuring rapid and reliable deployment.
• Implement monitoring solutions to track model performance, detect drift, and manage system health.
• Automate data ingestion, preprocessing, and feature engineering pipelines for consistent and reliable input data.
• Manage cloud-based and on-premise infrastructure using orchestration tools like Kubernetes and Terraform.

Job Type: Full-time

Pay: ₦1,220,000.00 per month

Application Question(s):

• What is the most impressive job you've done in the past with machine learning?
• How long have you been working with python?

Application Deadline: 30/09/2025

Today

Remote (Work From Home) Full Time

IT & Telecoms NGN 400, ,000 Negotiable

Easy Apply

Python Pandas NumPy Scikit-learn TensorFlow PyTorch Keras XGBoost LightGBM Deep Learning (CNN RNN Transformers BERT) Natural Language Processing (NLP) Computer Vision (CV) Recommender Systems Model Evaluation (ROC-AUC F1 PR Curves) Docker Kubernetes MLflow Kubeflow Apache Airflow AWS SageMaker Azure ML GCP AI Platform CI/CD for ML (GitHub Actions Jenkins) Model Monitoring & Drift Detection Data Preprocessing & Feature Engineering SQL Spark MLlib Generative AI (HuggingFace LangChain OpenAI APIs) SHAP LIME AI Fairness 360

Alpha Global is hiring a skilled AI/Machine Learning Engineer to develop intelligent systems that power real-world business solutions. You'll be responsible for building, optimizing, and deploying machine learning models at scale. This role is ideal for professionals with 3-5+ years of hands-on experience in production-level AI/ML engineering using cloud-native platforms and modern ML frameworks.

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

Responsibilities:

• Build, train, and deploy models for classification, clustering, regression, and recommendations
• Work with data engineers to prepare datasets and pipelines for training
• Tune models and monitor real-time performance in production
• Deploy models using AWS SageMaker, Azure ML, or Google AI Platform
• Use Docker and Kubernetes for containerised ML deployment
• Document model design, training process, and testing outcomes
• Conduct A/B testing and participate in retraining cycles
• Lead architecture of AI/ML workflows and infrastructure
• Optimise models for performance, interpretability, and scalability
• Drive MLOps adoption with tools like Kubeflow and Airflow
• Guide integration of AI services into broader systems and APIs
• Explore advanced deep learning methods (e.g., Transformers, CNNs, NLP pipelines)
• Mentor junior team members and contribute to team-wide knowledge sharing
  Stay current on AI advancements and recommend innovation opportunities

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
• Minimum 3-5 years of professional experience in machine learning engineering
• Proven track record of deploying ML models in production
• Languages: Python (required), R (optional), Java/Scala (bonus)
• ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
• Data Tools: Pandas, NumPy, Apache Spark MLlib
• Cloud Platforms: AWS SageMaker, Azure ML, Google AI Platform
• Containerization: Docker, Kubernetes
• Orchestration: Kubeflow, Apache Airflow
• Strong analytical and critical thinking abilities
• Clear communication in remote, cross-functional environments
• Self-driven with a research and innovation mindset
  Precision-oriented with quality-focused execution

Certifications (Preferred):

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
  Microsoft Certified: Azure AI Engineer Associate

Good-to-Have Skills:

• Experience with NLP, computer vision, or deep learning architectures
• Familiarity with MLOps pipelines and deployment strategies
  Knowledge of model interpretability and explainability tools

Why Join Us?

• Remote-first role with global exposure to high-impact AI projects
• Opportunities for certifications and continuous learning
• Competitive salary aligned with European market benchmarks
  Collaborative and cutting-edge engineering culture

Remuneration: NGN 500,000 – 1 Million Monthly Gross

How to Apply: Apply by sending your CV and cover letter. Highlight your ML/AI experience, model deployment history, and relevant certifications.

Project: EU Support to Democratic Governance in Nigeria Programme (EUD SDGN) PHASE II
Brief description of the project:
This technical assistance contract is aiming to lead the implementation of activities under Component 1 of the Programme –Support to INEC. This will require close synergy, coordination and collaboration with other components of the programme, with high priority on delivering as one. Furthermore, the Component 1 of the programme will, under the supervision of the Delegation, support monitoring and evaluation as well as communication and visibility activities across the six components to ensure a coherent and efficient programme delivery.

The
purposes
of this contract are as follows:

• To engender the conditions for inclusive, transparent, credible, and peaceful elections and a more inclusive decision-making process with the meaningful participation of all sectors of society, including women, youth, and other marginalised groups.
• In collaboration with the technical team of the Chairman of the electoral management Body (INEC) already embedded in the programme– Chief Technical Adviser, Special Adviser and Chief Press Secretary - provide capacity development support, technical assistance, policy and expert advice to the electoral management Body – the Independent National Electoral Commission (INEC).
• To contribute to the implementation of the EU Electoral Observation Missions (EU EOM) recommendations, as well as EU EOM follow up mission recommendations.
• Under the direction of the EU Delegation, support Monitoring and Evaluation as well as communication and visibility activities across the programme components.

DAI is looking to recruit: Senior Non-Key Expert – Artificial Intelligence (AI) and Machine Learning (ML) Expert

• Background With the increasing role of Artificial Intelligence (AI) and Machine Learning (ML) in governance, election management bodies must leverage AI-driven solutions to enhance efficiency, transparency, and security in electoral processes. INEC has established an AI Division under its ICT Department and requires support for - AI adoption in voter registration, election logistics management, results management and public communications. For this purpose, DAI, under the EUSDGN project is recruiting a senior AI and machine learning expert who will work with INEC on the below listed objectives.
• Objectives
• Provide strategic guidance on AI and ML integration in election management, specifically voter registration, election logistics management, results management and communications.
• Assess AI use cases for improving voter registration, election logistics monitoring, results management and communications.
• Offer recommendations for AI governance, ethics, and risk management in electoral processes.
• Ensure compliance with national and international AI policies and regulations.
• Advise on AI capacity-building initiatives for INEC staff.
• Scope of Work The AI and ML Advisor will:
• Conduct AI readiness assessments within INEC operations, particularly focusing on voter registration, election logistics management, results management and public communications.
• Advise on AI-driven tools for electoral data analysis and predictive modelling.
• Develop a framework for training and capacity building on the deployment of AI in INEC.
• Support AI-based security enhancements to detect cyber threats, disinformation and electoral fraud.
• Develop guidelines for ethical AI use in Nigerian elections.
• Monitor AI risks and suggest mitigation strategies.
• Collaborate with stakeholders (policymakers, electoral officials, and tech experts) to ensure AI-driven innovations align with democratic principles.
• Key Deliverables
• AI readiness assessment report and recommendations for the AI unit
• Strategic reports on AI integration in election management.
• AI governance framework for election integrity.
• Ethical AI guidelines tailored for EMB operations.
• A comprehensive AI and ML capacity building plan for INEC.
• Line Management and reporting The SNKE will report to the TL and works in partnership with KE2, the Director of the INEC ICT department and the Technical Team of the INEC Chairman.
• Required expertise The expert must possess and demonstrate the following:
• At least a master's degree in ICT relates fields.
• At least 15 years of experience in election administration with an election technology focus and excellent knowledge of ICT supported election operations
• Experienced in undertaking reviews, studies, and research in the field of elections and election technology
• Substantial working knowledge of elections in Nigeria
• Prior experience working on AI and ML with an EMB an advantage

Technical expertise required:

• Programming Skills: Proficiency in languages like Python, R, and Java is essential for building and deploying AI models.
• Machine Learning Frameworks: Familiarity with TensorFlow, PyTorch, Scikit-learn, and other tools helps in developing AI models.
• Deep Learning & Neural Networks: Knowledge of neural architectures like CNNs, RNNs, and transformers is highly valuable.
• Cloud Computing & Deployment: Experience with cloud platforms like AWS, Google Cloud, and Azure for deploying AI models at scale.
• Ethics & AI Governance: Understanding responsible AI, bias mitigation, and regulations around AI applications.
• Proficiency in AI algorithms, data modelling, and predictive analytics.
• Expertise in machine learning techniques, including natural language processing (NLP) and computer vision.
• Experience in developing AI-driven fraud detection systems.
• Ability to design automation tools for voter registration, election logistics management, results management and communications.
• Thorough understanding of electoral systems, voting technologies, election operations, logistics voter registration, communications and media
• Knowledge of legal frameworks governing AI use in elections.
• Ability to advise on ethical AI practices to uphold election integrity and transparency.
• Ability to assess and mitigate risks associated with AI deployment in elections.
• Knowledge of data protection regulations, such as GDPR for international compliance.
• AI Policy & Ethical Considerations
• Familiarity with global AI policies, including responsible AI governance.
• Ability to create guidelines for ethical AI use in election processes.
• Understanding of bias mitigation in AI models to ensure fair electoral practices.
• Strategic Advisory & Capacity Building
• Experience in advising government agencies on AI implementation.
• Ability to design capacity-building programs for EMB officials.

Inputs:
Up to 50 working days; Starting: ASAP

Location and travel arrangements:
Abuja, Nigeria is the location for this assignment. Occasional domestic travel within Nigeria is possible from time to time (consulted by Project Director for DAI Belgium and Team Leader (KE1) and subject to EUD approval)

If you are interested kindly submit a CV in English, indicating field(s) of expertise and experience ASAP, not later than
10th of October 2025
.

Applications are reviewed on a rolling basis, and we encourage consultants with relevant/applicable experience according to selection criteria to apply asap.
Only shortlisted candidates will be contacted

We are hiring at TheRetina Labs

TheRetina Labs is expanding, and we're looking for passionate, driven, and creative individuals to join our team. This is your opportunity to be part of a company that's reimagining the boundaries of computer vision and artificial intelligence.

At TheRetina Labs, we're building systems that can see, understand, and interact with the world in ways that feel truly human. Our mission is to shape the future of intelligent technology bridging perception, reasoning, and action into one seamless experience.

We're searching for people who are not afraid to think differently, challenge assumptions, and push limits. Whether you're an engineer, designer, researcher, or innovator, your ideas and expertise can help define the next chapter of visual intelligence.