Company Overview :

Spydra is a high-growth technology firm specializing in blockchain infrastructure and enterprise-grade decentralized solutions. By bridging the gap between legacy systems and Web3 technologies, Spydra enables businesses to build secure, scalable, and transparent digital ecosystems. Headquartered in Bangalore, the company operates at the intersection of distributed ledger technology and artificial intelligence, serving a diverse global clientele looking to modernize their operational frameworks through automation and trust-based architecture.

Role Overview :

As an AI ML Engineer at Spydra, you will be responsible for architecting and deploying intelligent models that enhance our core blockchain platforms. You will work closely with cross-functional engineering teams to integrate computer vision and predictive analytics into decentralized applications, ensuring that our solutions remain at the cutting edge of industry standards. Your work will directly influence the efficiency of our automated workflows and the accuracy of our data-driven insights, providing tangible value to our enterprise partners and end-users.

Key Responsibilities :

- Design and implement scalable machine learning pipelines to automate complex data processing tasks for enterprise blockchain applications.

- Develop and optimize computer vision models to improve image and pattern recognition capabilities within our proprietary platforms.

- Collaborate with software engineers to integrate AI-driven features into existing product architectures, ensuring seamless performance and reliability.

- Analyze large-scale datasets to identify trends and anomalies, providing actionable intelligence that informs product development and strategic decision-making.

- Maintain high standards of code quality and model documentation to facilitate knowledge sharing and long-term system maintainability across the engineering team.

Required Skillset :

- Demonstrate proficiency in Python and its associated ecosystem for data science, including libraries such as TensorFlow, PyTorch, or Scikit-learn.

- Apply advanced knowledge of computer vision techniques to solve real-world problems, with a focus on object detection, image classification, or segmentation.

- Exhibit strong problem-solving skills and the ability to translate complex business requirements into robust technical solutions.

- Communicate technical concepts effectively to both technical and non-technical stakeholders to ensure alignment on project goals.

- Possess a degree in Computer Science, Mathematics, or a related quantitative field, reflecting a strong foundation in algorithmic thinking.

- Adapt quickly to a fast-paced, collaborative environment in our Bangalore office, contributing to a culture of continuous learning and technical excellence.

- Bring 3 to 8 years of professional experience in developing and deploying production-grade AI and machine learning models.