Job Title: Python Machine Learning Engineer
Company: Medib Pme
Job Type: Part-time contractor assignment, 3 months (no medical or paid leave), with an expected start date of next week
Location: Remote, open to applicants in Nigeria (also open to India, Pakistan, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico). Requires a 4-hour overlap with PST
Salary/Pay: Not specified
Experience: Listed as entry-level, but requires 4+ years of hands-on data science and ML development experience.
Education: Bachelor's degree in computer science, machine learning, AI, statistics, or a related quantitative field
Skills Required:
- Core ML: supervised and unsupervised learning, time-series forecasting, NLP, computer vision, and statistical modelling and inference
- Python: proficiency in Python and core libraries (Pandas, NumPy, Scikit-learn)
- ML fundamentals: data preprocessing, feature engineering, model tuning, and evaluation metrics
- Applied ML: applying different models to real-world use cases
- Production ML: proven ability to design scalable, production-grade ML systems
- Leadership: setting direction and mentoring team members, with alignment of ML work to business goals
Advantage: Deep learning expertise (CNNs, RNNs, transformers); experience with cloud data platforms (Databricks, AWS); hands-on experience with PySpark and Databricks; Kaggle competitions and benchmarks such as MLE-Bench; experimenting with new technologies based on research papers
Date Posted: Oct 26, 2026
Application Deadline: Not specified
Description:
Medib Pme is looking for an ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The listing wants a technical leader who can set direction, mentor team members, and align ML initiatives with business goals. The work involves cutting-edge AI projects with leading LLM companies in a fully remote setup. The time commitment is at least 4 hours per day and 20 hours per week, with options of 20, 30, or 40 hours per week. The evaluation takes about 75 minutes across two rounds: a 60-minute technical interview and a 15-minute onboarding and cultural discussion. Your work will include:
- Owning end-to-end DS/ML solution development, from data pipelines and model design to deployment and monitoring
- Translating business objectives into robust ML architectures that capture business logic and context
- Collaborating with Product, Engineering, and Business stakeholders to define problem statements and success metrics
- Evaluating and optimizing models for performance, scalability, and accuracy
- Staying current with AI/ML research and applying relevant innovations
How to Apply: Apply here