Job Title: AI Engineer – Drone Mission Operations (DMO)
Team: Drone Mission Operations (DMO)
Location: Bengaluru
Experience: Open to strong AI engineers with interest in operations-driven problems
Employment Type: Full-time
Job Summary
Skylark Drones is looking for AI Engineers to work within the Drone Mission Operations team and build intelligent systems that improve how large-scale drone missions are planned, executed, and optimized. This role is ideal for engineers who enjoy applying AI to operational data, real-world constraints, and continuously running systems.
You will work closely with DMO, platform, and product teams to develop AI-driven solutions across computer vision, automation, and decision-support systems. The focus is on improving operational efficiency, data quality, and mission reliability at scale.
Key Responsibilities
- Build and deploy AI models to support drone mission planning, execution, and optimization
- Work with large-scale image, video, and sensor data generated from drone missions
- Develop computer vision models for quality checks, anomaly detection, and operational insights
- Build intelligent automation to improve mission workflows and reduce manual intervention
- Collaborate with operations teams to translate on-ground challenges into AI-driven solutions
- Design and maintain end-to-end AI pipelines including data ingestion, training, and deployment
- Continuously monitor and improve model performance in production environments
- Document models, assumptions, and operational impacts clearly
Mandatory Skills and Qualifications
- Strong foundation in machine learning and deep learning
- Hands-on experience working with image or video data
- Experience building and deploying AI models or automation systems
- Strong problem-solving skills and system-level thinking
- Proficiency in Python and common AI and ML frameworks
Preferred Attributes
- Experience with computer vision techniques and architectures
- Exposure to real-world, noisy operational data
- Experience deploying AI models in production environments
- Comfort working closely with non-technical operations teams
- Strong ownership mindset and bias for action
Our Core Values
At Skylark Drones, our values guide how we work, collaborate, and grow together. We look for people who live these values every day.
Mutual Respect
We treat everyone with kindness, empathy, and professionalism. We respect operational realities and value collaboration between engineering and field teams.
Why this is important: Mutual respect ensures AI solutions are practical and usable in real operations.
Communication
We believe in clear, transparent, and thoughtful communication. We explain models, trade-offs, and outcomes in ways that operations teams can act on.
Why this is important: Strong communication bridges the gap between AI and real-world execution.
Dependability and Adaptability
We take ownership of AI systems and ensure they perform reliably while adapting to evolving operational needs.
Why this is important: Dependability builds trust in AI-driven operations, and adaptability keeps systems relevant.
Bias for Action
We move quickly from prototypes to production and iterate based on real mission feedback.
Why this is important: A bias for action accelerates learning and operational impact.
Strive for Excellence
We set high standards for model quality, robustness, and operational impact.
Why this is important: Excellence is critical when AI systems influence mission outcomes.
Learn and Grow
We continuously learn from operational data, failures, and feedback to improve our models and systems.
Why this is important: Learning enables continuous improvement at scale.
Why Join Skylark Drones
- Apply AI to real-world drone operations at enterprise scale
- Work with large volumes of image, video, and operational data
- Build AI systems that directly impact mission success
- Collaborate closely with operations, platform, and product teams
- Solve complex, practical problems in a fast-growing drone technology company
If you enjoy applying AI to operational challenges, working with real-world data, and building systems that run continuously at scale, we would love to hear from you.
