At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors such as Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey.
Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn't just encouraged--it's inevitable.
As a Data Scientist, you will lead research and development efforts in computer vision, design and implement state-of-the-art deep learning algorithms, and work closely with engineering and product teams to deploy scalable solutions in the production environment.
What will you do?
Take full ownership of managing and delivering data science projects, from initial concept to deployment, ensuring alignment with business goals and timelines.
Design, develop and optimize AI/ML models (e.g., object detection, segmentation, and synthetic data generation) using frameworks such as PyTorch and TensorFlow.
Collaborate with ML Engineers to integrate models into production systems on cloud platforms (AWS, GCP, Azure)
Build and maintain robust data pipelines, ensuring data quality and repeatability. Evaluate model performance using relevant performance metrics to achieve target performance.
Analyzing large datasets to extract insights, identify trends, and make data-driven decisions that support business strategies.
Document research findings and present the project updates to cross-functional teams, to guide decision-making process.
Stay updated with the latest advancements in computer vision and machine learning to enhance the effectiveness of algorithms and models.
Requirements
What do we look for at Ennoventure?
Ph.D. or Master's degree in Computer Science , Data Science, Statistics, Mathematics, or a related field
Minimum of 4+ years of hands-on work experience in computer vision and machine learning roles.
Proven track record of implementing AI/ML algorithms and deploying them in a production environment.
Experience in building and maintaining complex data pipelines for large datasets
Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
Deep understanding of machine learning algorithms, data processing techniques, and statistical methods.
Expertise in big data technologies and cloud platforms (e.g., AWS, Google Cloud).
Excellent problem-solving abilities, strategic thinking, and attention to details.
Demonstrate ability to collaborate effectively with cross-functional teams, including engineers and product managers.
Strong written and verbal communication skills; ability to convey complex technical concepts clearly to nontechnical stakeholders.
Good to have:
Peer- reviewed publications in top-tier conference or journals
Experience with real-time systems or edge-device deployments
Familiarity with MLOps best practices (CI/CD, Jenkins, Docker)
Benefits
What do we offer?
We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We're building more than just a workplace, we're crafting a space where everyone feels seen, heard, and unstoppable. Here, you don't just thrive, you grow, innovate, and leave a mark that matters.
That's why we're committed to equipping you with the best: a Total Rewards Policy that integrates-
Pay: A Competitive Salary that reflects your talent and drive!
Financial Reward: Performance-based Rewards that recognize your impact.
Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best!
Learning: An ongoing investment in you and your skills.
Personalized Development: Self-growth plans crafted to match your performance and career aspirations.
* Compensation Reviews: Regular reviews to ensure your value aligns with market trends.
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