Machine Learning Engineer

About Us

Tezda is a visionary London-based startup revolutionizing the e-commerce landscape through cutting-edge immersive solutions. We harness advanced technologies to create engaging user experiences that redefine immersive commerce. Our mission is to craft personalized, data-driven recommendations, much like those seen on TikTok and Instagram Reels, to enhance user engagement in short video content.

We are looking for a Machine Learning Engineer & Data Analyst to join our remote team. If youre passionate about building AI-driven solutions, analyzing large datasets, and creating powerful dashboards, this is your opportunity to be part of an exciting and innovative journey!

Role Overview

As a Machine Learning Engineer & Data Analyst at Tezda, you will play a key role in:✅ Developing and deploying ML models for personalized recommendations.✅ Analyzing complex datasets to extract insights and improve user experiences.✅ Building and optimizing data pipelines for real-time analytics.✅ Creating interactive dashboards using Power BI and other analytics tools.✅ Working with AWS services to enhance model performance and scalability.

Key ResponsibilitiesMachine Learning & Data Science

• Design, develop, and deploy machine learning models to drive personalized recommendations for short video content.
• Analyze user behavior data to gain insights and improve recommendation systems.
• Implement and fine-tune AWS recommendation algorithms and AWS Personalize to optimize content relevance.

Data Analysis & Visualization

• Work with large-scale data warehouses to extract, clean, and analyze data.
• Develop real-time dashboards and reports using Power BI, SQL, and other analytics tools.
• Identify trends, patterns, and performance metrics to inform decision-making.

Collaboration & Integration

• Work closely with engineering teams to integrate ML models into the backend infrastructure.
• Partner with product teams to align AI-driven recommendations with business goals.
• Ensure seamless scalability and performance optimization of recommendation systems.

What Were Looking ForMust-Have Skills & Experience

✔ Strong expertise in machine learning, data analysis, and statistical modeling.✔ Hands-on experience with AWS services, particularly AWS Personalize, AWS Lambda, and AWS SageMaker.✔ Proficiency in Python (pandas, NumPy, scikit-learn) and SQL.✔ Experience in building, deploying, and optimizing ML models in production environments.✔ Deep understanding of data warehousing, ETL pipelines, and cloud-based architectures.✔ Ability to build interactive dashboards using Power BI or similar tools.

Nice-to-Have Skills

➕ Familiarity with big data frameworks like Spark, Hadoop, or Kafka.➕ Experience with DevOps tools (Terraform, CloudFormation) for managing ML deployments.➕ Knowledge of A/B testing and experiment-driven model improvements.

Why Join Tezda?

➕ Remote-First Culture: Work from anywhere but stay connected with an innovative global team.➕ Career Growth: Be at the forefront of AI-driven e-commerce solutions.➕ Exciting Challenges: Work on cutting-edge recommendation systems for short-form videos.➕ Competitive Compensation & Perks:

• Monthly salary: ~700000 NGN ($450 USD)
• Stock options (up to $100 USD after probation)
• Performance-based bonuses ($50-$200 USD post-probation)

If youre ready to shape the future of immersive commerce and bring AI-driven innovation to life, wed love to hear from you!

Job Type: Full-time

Pay: ₦700,000.00 per month

Experience:

• Machine learning: 4 years (Required)
• Recommendation Systems: 2 years (Required)
• Data Analysis: 4 years (Required)