Machine Learning Engineer
2 days ago
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: ~40,000 INR ($450 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: ₹40,000.00 per month
Benefits:
- Work from home
Experience:
- Machine learning: 3 years (Required)
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