Data/AI Engineer
Lagos, Lagos
Posted 5 days ago
- Company:
- BLAKSKILL LIMITED
- Company Description:
- BlakSkill is a digital solution that meets the talent sourcing, development, access, visibility and needs of stakeholders in global talent marketplace. Blakskill’s mission is to provide a digital solution that meets the talent sourcing, development, access, visibility and needs of stakeholders in global talent marketplace. We are dedicated to empowering African Talents, connecting them with exceptional career opportunities worldwide, fostering growth, and driving positive change in the African job market. We envision a future where African talent is globally recognized, and companies across the world have easy access to a pool of verified and highly skilled professionals from Africa. By adhering to our core principles and staying true to our mission and vision, Blakskill Limited is transforming the talent acquisition landscape, empowering African Talents, and facilitating global access to verified talents from an African perspective. Together, we are building a brighter future, one successful connection at a time.
- Contract Type:
- Full Time
- Experience Required:
- 3 to 4 years
- Education Level:
- Bachelor
- Number of vacancies:
- 3
Job Description
Industry: Technology Solutions
Location: Lagos, Nigeria
Job Type: Full-Time
Job Description (Summary)
The Data/AI Engineer will be responsible for building and optimizing data pipelines, developing AI models, deploying solutions on cloud platforms, and ensuring that systems are scalable and secure. This role requires a deep understanding of data engineering, machine learning, and cloud infrastructure, alongside the ability to collaborate effectively with teams across the organization.
Data Engineering
Design, build, and maintain robust and scalable data pipelines and ETL processes.
Implement data storage solutions, including data lakes and warehouses, ensuring data quality and reliability.
Integrate and manage data from multiple sources to enable analytics and machine learning applications.
Optimize database queries, storage structures, and data retrieval processes for performance and scalability.
AI/ML Model Development
Develop and deploy AI/ML models to address business challenges, including predictive modeling, natural language processing, and computer vision.
Train, test, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, or similar.
Collaborate with data scientists to translate algorithms and prototypes into production-ready solutions.
Cloud and Infrastructure
Deploy and manage AI/ML models and data pipelines on cloud platforms (e.g., AWS, Azure, Google Cloud).
Ensure high availability, fault tolerance, and scalability of deployed systems.
Leverage containerization tools like Docker and Kubernetes to streamline deployment and orchestration of AI/ML applications.
Analytics and Insights
Enable data-driven decision-making by building tools and frameworks for analytics.
Collaborate with stakeholders to understand business needs and deliver actionable insights.
Create dashboards, reports, and visualizations to effectively communicate data insights.
Security and Compliance
Implement data governance and ensure compliance with relevant regulations.
Secure AI/ML models and data pipelines against potential vulnerabilities and risks.
Collaboration
Partner with cross-functional teams, including product managers, data scientists, and software engineers, to deliver AI-powered solutions.
Support and mentor junior engineers in best practices for data engineering and AI/ML deployment.
Required Qualifications & Experience
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Minimum of 3 years of experience in data engineering, AI/ML model development, or a similar role.
Proven experience in designing and deploying data pipelines and AI models.
Strong understanding of data governance, security, and compliance requirements.