Machine Learning Engineer
Lagos, Nigeria
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field.
- 3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
- Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
- Experience with cloud platforms (Google Cloud, AWS).
- Excellent communication and collaboration skills.
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field.
3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
Experience with cloud platforms (Google Cloud, AWS).
Excellent communication and collaboration skills.
Education & alternatives
Requirements - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field. - 3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
Tools in this posting
- NumPy
- pandas
- TensorFlow
- SQL
- Python
- AWS
- Google Cloud (GCP)
- PyTorch
Source — Tool mentions in context
- Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) - Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL. - Experience with cloud platforms (Google Cloud, AWS).
- Strong programming skills in Python. - Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) - Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
- 3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment. - Strong programming skills in Python. - Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL. - Experience with cloud platforms (Google Cloud, AWS). - Excellent communication and collaboration skills.
Benefits in the posting
Full benefits wording- Competitive salary
- Health Insurance
- Pension
- Performance Bonus
- Annual paid vacation
- Group Life Insurance
From the employer’s posting.
Job description
Design, build, and deploy machine learning models and algorithms to solve complex business problems.
Perform data exploration, cleaning, and preprocessing to prepare datasets for model training.
Train and optimize machine learning models, ensuring high performance and scalability.
Stay up-to-date with the latest developments in machine learning and AI, and apply innovative techniques to improve existing models and processes.
Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.
Work closely with data analysts, product managers and other stakeholders to understand and address their AI requirements.
Requirements
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field.
3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
Strong programming skills in Python.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
Experience with cloud platforms (Google Cloud, AWS).
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a fast-paced environment.
Benefits
- Competitive salary
- Health Insurance
- Pension
- Performance Bonus
- Annual paid vacation
- Group Life Insurance
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on babbangona.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lagos, Nigeria
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 69
- Last seen by us
- Oct 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.