Workpedia Africa
Engineering & Technology
Lagos (Remote) | Part Time
IT & Telecoms | NGN 150,000 – 250,000
Easy Apply | New | Posted Today
Job Summary
We are seeking a highly motivated Remote Machine Learning Engineer to join our team. This position offers the flexibility of remote work while contributing to exciting AI projects. You will be responsible for designing, implementing, and optimizing machine learning models. If you are passionate about AI technologies, eager to learn, and enjoy working in a dynamic, fast-paced environment, this role is for you.
Minimum Qualification: Degree
Experience Level: Mid level
Experience Length: 2 years
Job Description/Requirements
Responsibilities:
- Model Development: Design and implement machine learning models and algorithms for scalable AI solutions.
- Data Processing: Clean, preprocess, and analyze large datasets to extract meaningful insights and improve model accuracy.
- Model Optimization: Fine-tune and optimize models for enhanced performance and scalability in real-world applications.
- Collaborative Problem Solving: Work closely with the AI team to identify business challenges and develop innovative, AI-based remote solutions.
- Research & Development: Stay updated with the latest advancements in AI and machine learning, applying new techniques to ongoing projects.
Requirements:
Education:
Pursuing or completed a degree in Computer Science, Data Science, Machine Learning, or related fields.
Technical Skills:
- Proficiency in Python and machine learning libraries such as TensorFlow, Keras, PyTorch, or Scikit-learn.
- Strong understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised, reinforcement learning).
- Experience with data processing libraries such as Pandas and NumPy.
- Desirable: Familiarity with cloud platforms (e.g., AWS, Google Cloud) and version control tools (e.g., Git).
Personal Attributes:
- Self-motivated with a proactive approach to learning new technologies.
- Excellent problem-solving skills with attention to detail.
- Strong communication and teamwork skills, especially in a remote work environment.
Benefits:
- Growth Opportunities: Gain hands-on experience in AI projects with real-world applications, enhancing your technical skills and industry knowledge.
- Remote Work Flexibility: Enjoy the freedom of working remotely, balancing your work-life commitments.
- Monetary Potential: Opportunity for future paid roles as the company scales.
- Intellectual Development: Exposure to cutting-edge machine learning technologies and collaborative learning in a supportive, remote-friendly environment.