We are a young and dynamic startup that is working hard to bring eye screening to everyone.
We are hiring, so please reach out to us if you believe in our mission and think you are the right fit!
We are seeking a skilled and motivated AI Engineer to join our growing team. The ideal candidate will have hands-on experience in designing, developing, and deploying artificial intelligence and machine learning models. You will work closely with data scientists, software engineers, and product teams to implement intelligent solutions that drive innovation and deliver business value.
Key Responsibilities :
- Design, develop, test, and deploy AI / ML models for various business use cases
- Work with large datasets to extract actionable insights and build predictive models
- Implement deep learning and machine learning algorithms using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Collaborate with engineering teams to integrate AI models into scalable products
- Research and stay up to date on the latest developments in AI, ML, and NLP
- Optimize models for performance and scalability in production environments
- Document model architecture, training process, and deployment details
- Collaborate cross-functionally with product, design, and business stakeholders.
Qualifications :
Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field2–5 years of experience in AI / ML engineering or related rolesStrong programming skills in Python (preferred), R, or JavaHands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Experience with data wrangling, preprocessing, and feature engineeringProficiency in working with structured and unstructured dataUnderstanding of deep learning, NLP, computer vision, or reinforcement learning (as applicable)Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plusPreferred Skills :
Experience with version control tools (e.g., Git)Strong analytical and problem-solving skillsKnowledge of containerization (Docker, Kubernetes)Good communication and collaboration abilitiesExperience deploying models via APIs or microservicesWhy Join Us :
Work on cutting-edge AI problems that have real-world impactBe part of an innovative and collaborative tech teamCompetitive salary, benefits, and learning opportunitiesFlexible and supportive work environment