Odixcity Consulting is an International Hr consulting and procurement firm. With expertise in Recruitment & Selection, Performance management, Training & Development, Compensation and benefits as well as Outsourcing of goods and services for organizations.
We are recruiting to fill the position below:
Job Title: Machine Learning Engineer
Location: Remote
Responsibilities
- Examine and improve data science prototypes.
- Create advanced machine learning infrastructures.
- Test and implement machine learning techniques and tools.
- Launch models into production systems and implement performance tracking and retraining workflows to maintain predictive accuracy.
- Stay informed on the latest developments in machine learning and apply new techniques to improve models.
- Thoroughly document processes, model designs, and performance metrics while effectively communicating findings and insights to stakeholders.
- Develop machine learning systems that meet given goals.
- Select and prepare datasets using appropriate encoding and formatting methods.
- Ensure reliable and clean data flows through every phase of the machine learning pipeline.
- Partner with developers to integrate machine learning models into end-user systems.
Requirements
- A Bachelor’s Degree in Computer Science, Data Science, Mathematics, or a related field.
- Experienced in developing Machine Learning solutions using Python, JavaScript and leveraging frameworks.
- Proficiency in communicating technical ideas clearly to stakeholders with varying levels of technical expertise.
- Skilled in working across disciplines to align technical solutions with business objectives.
- Consistently stay informed on the latest trends and innovations in Machine Learning and Artificial Intelligence.
- Strong grasp of algorithms, statistics, and linear algebra, with the ability to apply these concepts to real-world problem-solving.
- Strong problem-solving skills complemented by practical experience in productionizing machine learning models.
Salary
N500,000 monthly (non-negotiable).
How to Apply
Interested and qualified candidates should send their CV and link to their portfolio to: [email protected] using the Job Title as the subject of the mail.
Application Deadline 31st August, 2025.