Job Summary
Rule and Responsibilities
- Research and develop algorithms for object tracking, sensor fusion, and predictive modeling.
- · Design and implement Bayesian filtering methods (e.g., Kalman, Extended Kalman, Particle filters) for tracking and estimation problems Develop multi-sensor data fusion frameworks integrating information from heterogeneous sensor sources.
- Apply machine learning techniques to enhance model performance in noisy or uncertain environments.
- Analyze and process real-world sensor data to validate and optimize algorithms.
- Collaborate with software and systems engineers to integrate algorithms into realtime systems.
Required Skills
Skills and Qualifications
- BS / MS (Engineering / AI / Applied Mathematics / Statistics / Computer Sciences / Data Sciences / Electrical Engineer)
- · Proficient in one or more programming languages (e.g., C++)
Experience
- Experience in AI and autonomous systems’ algorithm research and development.
Skills
- Strong foundation in linear algebra, probability, statistics and calculus.
- Experience with classical ML Algorithms and deep learning architectures.
- Worked on ML algorithms you have implemented in your any project
- Hands on Experience on ML Libraries and frameworks
Additional Notes
- The final appointment will be confirmed after a probation period of 2-3 months.
