Homeoffice Machine Learning Engineer

Location: Abuja, Nigeria [Remote]

Job Type: Full-Time Contract (Paid)

We are seeking a talented Machine Learning Engineer to join our team. In this role, you will design, develop, and implement machine learning models that solve complex problems and drive innovation within our product offerings. You will work closely with data scientists, engineers, and product teams to integrate machine learning solutions into production systems.

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms for a variety of use cases, including predictive analytics, recommendation systems, and optimization problems.
• Collaborate with cross-functional teams to understand business needs and translate them into machine learning solutions.
• Preprocess, clean, and analyze large datasets to extract valuable insights and prepare data for model training.
• Train, validate, and fine-tune machine learning models to ensure high performance and accuracy.
• Continuously monitor, evaluate, and optimize models in production to improve performance and scalability.
• Stay up-to-date with the latest advancements in machine learning and data science, applying cutting-edge techniques to current projects.
• Document workflows, models, and processes to ensure transparency and reproducibility across the organization.

Qualifications:

• Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role, with a focus on building and deploying machine learning models.
• Strong understanding of machine learning algorithms, frameworks, and techniques.
• Proficiency in programming languages commonly used in machine learning (e.g., Python) and experience with relevant libraries and tools.
• Experience working with large datasets and familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Strong problem-solving skills and ability to implement practical solutions to complex challenges.

Preferred Skills:

• Experience deploying machine learning models in production environments and integrating them with real-world applications.
• Knowledge of deep learning architectures and techniques, such as neural networks, for solving complex problems.
• Familiarity with cloud-based platforms for machine learning model training and deployment.
• Strong understanding of model interpretability, explainability, and ethical considerations in AI.

Take a Look at our Website, Follow us on GitHub, Star our repository, Watch our Channel, and Say Hello in the Discord.

GitHub: https://github.com/swarmauri

Repository: https://github.com/swarmauri/swarmauri-sdk

YouTube: https://youtube.com/@swarmauri

Discord: https://discord.gg/nBKuZ36x9Q

Website: https://swarmauri.com