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Mactay Consulting Job Vacancies, Qualified candidates should Apply. Click for more Jobs.
Mactay Consulting – Our client is recruiting to fill the position below:
Mactay Consulting Job Vacancies
Job Title: Machine Learning Engineer – Freelance
Location: Ikoyi, Lagos
Employment Type: Contract
Job Summary
- In line with the Digital Services division’s strategic objectives for personalized digital interactions and optimized mobile marketing, we are seeking a skilled Machine Learning Engineer for a temporary role.
- This individual will contribute to Customer Value Management (CVM) by employing advanced machine learning techniques to analyze customer behavior and preferences, translating company’s data insights into actionable models.
- The engineer will play a pivotal role in refining digital channels and mobile marketing campaigns, developing algorithms for enhanced user engagement, predicting customer preferences, and fostering personalized interactions.
- This freelance position involves collaborative work to seamlessly integrate machine learning solutions, ensuring a cohesive user experience and amplifying the effectiveness of our digital assets within the context of our brand identity.
- This opportunity allows the engineer to apply their expertise to dynamically influence the evolution of our digital ecosystem and mobile marketing initiatives.
Project Objective
- Data Analysis and Insights:Identify actionable insights from customer data for CVM and mobile marketing.
- Machine Learning Models:Develop models predicting and responding to customer preferences.
- Digital Platform Integration:Integrate machine learning solutions into digital platforms for CVM.
- Personalization Strategies: Execute personalized customer interactions based on ML insights.
- Optimization of Campaign Assets: Refine mobile marketing campaigns using advanced machine learning.
- User Experience Enhancement: Implement ML solutions for a seamless user experience in line with CVM.
Job Responsibilities
- The following approach will be followed during the execution of the project. The resource is expected to align and provide all necessary deliverables as highlighted below:
Collaborative Project Kickoff:
- Initiate a collaborative kickoff meeting involving stakeholders to define project objectives, expectations, and timelines.
- Establish clear communication channels to ensure alignment among all parties.
Data Collaboration and Assessment:
- Collaborate closely with data management teams to gain a comprehensive understanding of available data on company’s server.
- Assess data quality, relevance, and completeness to inform subsequent model development steps.
Objective Refinement with Stakeholders:
- Engage stakeholders in refining and finalizing specific objectives for CVM and mobile marketing improvement using machine learning.
- Ensure that objectives align with the overall goals of the organization.
Transparent Model Design and Planning:
- Collaborate with stakeholders to transparently define the scope and requirements of machine learning models.
- Develop a clear plan for model architecture, incorporating feedback from stakeholders.
Iterative Data Preprocessing and Feature Engineering:
- Implement an iterative process for data preprocessing, addressing missing values, outliers, and ensuring compatibility with machine learning algorithms.
- Collaborate with stakeholders to identify relevant features and iteratively engineer new ones to enhance model performance.
Continuous Stakeholder Engagement:
- Maintain continuous collaboration with stakeholders throughout the model development process.
- Gather feedback at key stages to ensure that the evolving models align with stakeholder expectations.
Incremental Model Training and Evaluation:
- Adopt an incremental approach to model training, allowing for frequent evaluation and refinement.
- Assess model performance using relevant metrics, iterating on design and parameters to achieve optimal results.
Comprehensive Documentation and Knowledge Transfer:
- Create comprehensive documentation outlining the model development process, parameters, and methodologies.
- Conduct knowledge transfer sessions to ensure that stakeholders understand the models, their interpretations, and potential applications.
Strategic Deployment and Ongoing Monitoring:
- Strategically deploy finalized machine learning models to production environments.
- Implement robust monitoring systems to track model performance in real-world scenarios, addressing any issues promptly.
Work Hours:
- Flexible, but not strictly between 8 am and 5 pm.
- Must be able to work remotely.
- Must have work tools including laptops, and stable power/access to high-speed internet.
Relationship – Interpersonal relationship:
- Must maintain good working relationship across all levels of staff.
Quality of Work:
- Must maintain professional standards expected of a consultant.
- Ability to multitask.
- Delivery to specific timelines, output and consistency.
Adherence to company’s Staff Code of Conduct:
- Office Etiquette.
Job Requirements
- Candidates should possess relevant qualifications with 3 – 5 years relevant work experience.
Salary
N400,000 – N500,000 monthly.
Application Closing Date
15th June, 2024.
Method of Application
Interested and qualified candidates should send their CV to: benita.chiedu@mactay.com using the Job Title as the subject of the mail.
To apply for this job email your details to benita.chiedu@mactay.com