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 you're 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 We're 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: ~53000 INR ($600 USD)
• Stock options (up to $100 USD after probation)
• Performance-based bonuses ($50–$200 USD post-probation)

If you're ready to shape the future of immersive commerce and bring AI-driven innovation to life, we'd love to hear from you

Job Type: Full-time

Pay: ₹53,000.00 per month

Benefits:

• Work from home

Experience:

• Machine learning: 3 years (Required)