AI / ML Engineer at Molaprise

Molaprise, headquartered in New York with a global reach, is a rising-leader in technology consulting and cloud services. We specialize in cybersecurity, cloud adoption, and infrastructure modernization, delivering secure and agile solutions trusted by financial and US government sectors. We strive to make advanced technology accessible, driving business and public sector success. With top-tier partnerships, our seasoned team offers tailored cloud strategies to exceed expectations, ensuring that with Molaprise, your digital transformation journey leads to tangible, superior outcomes.

We are recruiting to fill the position below:

Job Title: AI / ML Engineer

Job No.: 59
Location: Lagos, 
Job type: Full-time / Consultant 

About the Role

• We’re seeking a curious and data-driven AI/ML Engineer who thrives on uncovering patterns where others see noise.
• You’ll join a small, high-trust team focused on applying AI/ML in novel, real-world contexts.
• Your work will go beyond experiments — you’ll help design intelligent systems that learn, adapt, and evolve in production environments.

What You'll Do
Model Development & Experimentation:

• Research, design, and train machine learning models for predictive analytics, anomaly detection, and optimization tasks
• Build prototypes and run experiments to validate hypotheses and model performance
• Continuously refine algorithms for accuracy, scalability, and efficiency

Data Analysis & Insights:

• Explore large, complex datasets to uncover actionable insights
• Translate findings into features, signals, and improvements that enhance product functionality
• Ensure data quality, integrity, and preprocessing pipelines for ML readiness

Cross-Functional Collaboration:

• Work closely with product managers, engineers, and domain experts to integrate models into production systems
• Communicate complex ML concepts to both technical and non-technical stakeholders
• Support ongoing monitoring, evaluation, and retraining of deployed models

Deployment & Optimization:

• Implement scalable ML solutions in real-world environments
• Leverage cloud ML platforms and APIs for training, deployment, and monitoring
• Optimize runtime performance to balance accuracy, speed, and cost

What You Bring

• 3+ years of hands-on experience in machine learning, applied AI, or data science
• Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Demonstrated ability to design experiments, analyze results, and iterate quickly
• Comfort working independently in unstructured problem spaces and ambiguous environments
• A mindset of curiosity, experimentation, and continuous learning

Why Join Us?

• Be part of a phase 2 initiative, applying AI/ML to cutting-edge, real-world problems
• Work in a high-trust, collaborative environment where your contributions drive impact
• Hybrid flexibility with consultant or full-time options
• Competitive compensation and opportunities for ownership of AI/ML strategy

Salary
DOE

Application Closing Date
Not Specified.

How to Apply
Interested and quaified candidates should:
Click here to apply online