Kindly Note:
Applicants who include portfolios will be given priority consideration for the position. Please send your portfolio along with your CV to the email provided below:
recruitment@eriadesign.com
Responsibilities
- Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals.
- Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.
- Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.
- Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning.
- Evaluate and validate models using appropriate metrics and statistical methods, and iteratively refine models based on feedback and insights.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
- Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and implement necessary updates or improvements.
- Stay up to date with the latest advancements in machine learning algorithms, techniques, and tools, and apply them to solve real-world problems.
Qualifications
- Bachelor's or higher degree in computer science, data science, or a related field.
- Advanced degrees or relevant certifications are advantageous.
- Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit-learn).
- Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark).
- Familiarity with software engineering best practices, including version control, testing, and code review.
- Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance.
- Excellent problem-solving and analytical thinking, with the ability to understand complex business problems and develop innovative solutions.
- Effective communication skills to collaborate with cross-functional teams and present findings and insights to both technical and non-technical stakeholders.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of deploying and managing machine learning models in cloud environments is a plus
Kindly send your CV and portfolio to recruitment@eriadesign.com
