Company Description Deevia Software India Private Limited is a premier software products company based in Bengaluru, India, known for consistently delivering solutions that exceed customer expectations. The organization focuses on AI, data analytics, machine learning, deep learning, and system software across diverse domains such as automotive, manufacturing, retail, logistics, sports, industrial inspection, medical imaging, smart cities, and NLP.

Deevia also specializes in embedded systems, porting and optimization on multiple hardware platforms, and advanced deep learning frameworks including TensorFlow, Keras, PyTorch, and more. The company has robust expertise in image processing, computer vision, IoT, cloud solutions, databases, and full-stack development, supporting integration across major operating systems. Team members work with cutting-edge digital signal processing algorithms and multimedia frameworks, contributing to high-quality, end-to-end technology solutions.

Location: Bangalore/Noida

Open Positions – AI, Computer Vision & Automotive

1. Machine Vision Engineer

Experience: 1–3 Years

Key Responsibilities

- Develop and implement industrial machine vision and computer vision applications.
- Develop, test and optimise vision algorithms using Python and OpenCV.
- Integrate cameras and vision hardware with software systems.
- Support system integration, testing and deployment at customer/plant sites.
- Analyse technical problems and contribute to practical solutions.

Required Skills

- Python, OpenCV and SciPy.
- Fundamentals of computer vision and image processing.
- Camera and vision hardware integration.
- Good problem-solving, analytical and communication skills.
- Willingness to travel and work in industrial/shop-floor environments.

Education: Bachelor’s degree in Computer Science, Electronics, Electrical Engineering or a related field. 2. Senior ADAS Perception Algorithm Engineer – Camera / Image Processing

Experience: 6+ Years

Key Responsibilities

- Design and develop real-time camera-based image processing, computer vision and perception algorithms for ADAS.
- Work on filtering, segmentation, feature extraction, object detection and pattern recognition.
- Develop production-grade C/C++ software and optimise latency, memory, computational complexity and real-time performance.
- Analyse algorithm performance using appropriate mathematical and statistical metrics.
- Validate algorithms using representative datasets and improve robustness against illumination changes, noise, blur, scale,



rotation and environmental variations.
- Evaluate third-party technologies, frameworks and externally supplied algorithms.
- Conduct feasibility studies and develop technical prototypes.
- Implement and reproduce relevant research approaches where required.

Required Skills

- Strong C/C++ with 5+ years of hands-on C++ development.
- Strong image processing and computer vision fundamentals.
- OpenCV or equivalent.
- MATLAB.
- Algorithm optimisation and real-time software development.
- Debugging and development tools, preferably Visual Studio.
- Understanding of ADAS and automotive vision.
- Solid mathematical and analytical skills.
- Camera/image-processing perception focus; LiDAR/Radar experience is not required.

Education: Bachelor’s/Master’s in Computer Science, Electronics, Electrical Engineering, Mathematics, Computer Vision or a related field. 3. ADAS Algorithm Engineer – Navigation, Planning & Control

Experience: 6+ Years

Key Responsibilities

- Develop algorithms for ADAS and autonomous driving applications.
- Work on navigation, localisation, path planning and trajectory planning.
- Develop vehicle control algorithms considering vehicle dynamics and sensor/vehicle data.
- Apply mathematical modelling, optimisation, estimation and filtering techniques.
- Develop and validate real-time algorithms through simulation and testing.
- Analyse algorithm performance and support integration with automotive software systems.

Required Skills

- Strong hands-on C++ programming.
- Solid understanding of navigation, localisation, planning and vehicle control.
- Knowledge of vehicle dynamics and mathematical modelling.
- Experience with optimisation, estimation and filtering techniques.
- Real-time software development and algorithm validation.
- Linux and Git.
- Good understanding of automotive/ADAS systems.
- This is an algorithm development role and does not require a generic AI/ML profile.

Education: Bachelor’s/Master’s in Computer Science, Electronics, Electrical Engineering, Mechanical Engineering, Mathematics or a related field. 4. AI Data Science Engineer – Time Series & Device Analytics

Experience: 2–5 Years





Key Responsibilities

- Analyse large-scale device and sensor time-series data to identify patterns and derive insights.
- Develop advanced time-series models and analytics solutions.
- Design data preprocessing, feature engineering and analytics pipelines.
- Apply statistical reasoning and mathematical techniques for data and model analysis.
- Research relevant AI/ML techniques and independently implement approaches from research papers.
- Develop, tune, optimise and validate ML/DL models.
- Work on AI solutions for resource-constrained and edge/on-device environments.

Required Skills

- Strong Python, NumPy and Pandas.
- Python and C++ programming.
- TensorFlow, PyTorch, Keras and/or Scikit-learn.
- Time-series and ML/DL algorithms including LSTM, GRU, CNN, ARIMA/SARIMA, XGBoost, LightGBM and regression-based models.
- Solid understanding of ML/DL fundamentals, probability, backpropagation, normalisation and optimisation.
- Model tuning, optimisation and verification.
- Research-paper implementation capability.
- Git, Docker, Linux and CUDA.
- Knowledge of edge computing and low-resource AI is desirable.

Education: BE/ME/B.Tech/M.Tech. 5. AI Audio / Speech Developer

Experience: 2–5 Years

Minimum 2+ years of hands-on experience in ASR and Language Model development

Key Responsibilities

- Design and develop Speech-to-Text (ASR) and language-processing solutions using deep learning.
- Build, train, fine-tune and optimise transformer-based speech and language models.
- Implement and reproduce research papers in speech recognition, NLP and GenAI.
- Work with LLM/SLM architectures, adaptation, quantisation and deployment optimisation.
- Improve speech recognition systems for accuracy, latency and resource efficiency.
- Evaluate, benchmark and tune model and pipeline performance.
- Integrate AI speech/language solutions into production systems.

Required Skills

- Strong Deep Learning, ML and neural-network fundamentals.
- Strong understanding of ASR, Speech-to-Text, Language Models and Transformer architectures.
- Hands-on ASR model training, fine-tuning and optimisation.
- Experience with LLM fine-tuning, quantisation and parameter-efficient tuning.
- Strong Python programming.
- PyTorch and/or TensorFlow.
- Ability to implement research papers and convert research approaches into production solutions.

Education: Bachelor’s/Master’s in Computer Science, Electronics, Electrical Engineering, Mathematics or a related field.

📌 AI Engineer (Bengaluru)
🏢 Deevia Software India Private
📍 Bengaluru