Job Summary

Startup Inno is seeking a highly skilled and innovative Data Scientist – Computer Vision for Autonomous Systems to join our growing technology team. In this role, you will be at the forefront of developing intelligent perception systems that enable autonomous technologies such as self-driving vehicles, robotics, drones, and smart surveillance platforms.

You will work with large-scale visual data, designing and optimizing advanced computer vision and deep learning models that translate raw sensor inputs into actionable insights. This position is ideal for a passionate data scientist who thrives in fast-paced, innovation-driven environments and wants to make a tangible impact on real-world autonomous solutions.

Key Responsibilities

• Design, develop, and deploy computer vision models for object detection, tracking, segmentation, and classification.

• Work with multi-modal data sources such as cameras, LiDAR, radar, and sensor fusion systems.

• Build end-to-end machine learning pipelines from data preprocessing to model deployment and monitoring.

• Conduct experiments to improve model accuracy, robustness, and real-time performance.

• Collaborate with software engineers, robotics engineers, and product teams to integrate models into production systems.

• Optimize models for edge devices and real-time inference.

• Perform error analysis, model validation, and continuous improvement using performance metrics.

• Document methodologies, research findings, and system designs.

Required Skills and Qualifications

• Strong proficiency in Python and libraries such as OpenCV, NumPy, Pandas, PyTorch, TensorFlow, or Keras.

• Solid understanding of computer vision techniques (CNNs, YOLO, Faster R-CNN, SSD, Transformers, Vision Models).

• Experience with deep learning frameworks and model optimization.

• Knowledge of machine learning algorithms, statistics, and data modeling.

• Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment tools.

• Experience with version control systems (Git) and ML pipelines (MLflow, Airflow, Kubeflow).

• Strong problem-solving and analytical thinking skills.

Experience

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Robotics, or a related field.

• 3+ years of experience in Data Science, Machine Learning, or Computer Vision roles.

• Hands-on experience working with real-world image/video datasets.

• Experience in autonomous systems, robotics, automotive AI, or smart systems is a strong advantage.

• Publications or research experience in computer vision is a plus.

Working Hours

• Full-time position, 40 hours per week.

• Flexible working hours with a hybrid or remote-friendly work model.

• Occasional collaboration across global teams depending on project requirements.

Knowledge, Skills and Abilities

• Deep understanding of perception systems and autonomous technologies.

• Ability to translate business and engineering problems into data-driven solutions.

• Strong communication skills to explain technical concepts to non-technical stakeholders.

• High level of curiosity, adaptability, and continuous learning mindset.

• Capability to work independently and in cross-functional teams.

• Strong attention to detail and commitment to quality and performance.

Benefits

• Competitive salary with performance-based incentives.

• Flexible work environment (remote/hybrid options).

• Access to cutting-edge AI tools and technologies.

• Health insurance and wellness programs.

• Learning and development budget for certifications and courses.

• Career growth opportunities in a rapidly scaling startup.

• Collaborative and innovation-driven company culture.

Why Join Startup Inno?

At Startup Inno, we are building the future of intelligent systems. You will work on real-world challenges that push the boundaries of AI and automation. We value creativity, ownership, and impact. Our culture encourages experimentation, fast learning, and meaningful contributions that shape next-generation autonomous technologies.

This is your chance to be part of a visionary team where your work directly influences the evolution of smart, self-learning systems.

How to Apply

Interested candidates are encouraged to submit their updated resume along with a brief cover letter highlighting relevant experience in computer vision and autonomous systems. Please include links to GitHub repositories, research papers, or project portfolios (if available).