We are seeking a highly technical Data & AI Engineer with strong expertise in Computer Vision, Time-series Forecasting, and high-performance backend systems.
You will be responsible for building end-to-end AI systems, from model development to production deployment at scale, especially in real-time and data-intensive environments.
AI/ML Development
- Develop AI/ML solutions for:
- Computer Vision: detection, segmentation, tracking, OCR
- Forecasting: demand prediction, anomaly detection, predictive analytics
- Build and optimize deep learning models (CNNs, Transformers, LSTM)
- Productionize research models into scalable systems
System & Backend Development
- Build high-performance AI services using:
- Node.js / Go / Rust / C++
- Develop real-time inference pipelines and streaming systems
- Optimize latency, throughput, and resource utilization
Computer Vision & Real-time Systems
- Design and deploy real-time video/camera processing systems
- Optimize models for GPU and edge devices (TensorRT, ONNX)
- Handle large-scale image/video processing pipelines
Forecasting & Data Science
- Apply:
- Statistical models: ARIMA, Prophet
- ML/DL models: XGBoost, LSTM, Transformer
- Perform feature engineering on time-series data
- Evaluate models using metrics such as MAPE, RMSE, MAE
Data Engineering & MLOps
- Build scalable data pipelines (batch & streaming: Kafka, Spark)
- Implement MLOps practices (CI/CD, model versioning, monitoring)
- Deploy systems using Docker, Kubernetes, and cloud platforms
Architecture & Collaboration
- Design distributed systems and microservices architecture
- Ensure system scalability, reliability, and observability
- Collaborate with Product, Data, and Engineering teams
- Mentor junior engineers and conduct code/architecture reviews
Core Technical Skills (Must-have)
- Strong programming skills:
- Python (PyTorch, TensorFlow)
- At least one system-level language: C++ / Rust / Go
- Experience with:
- Computer Vision (OpenCV, YOLO, Detectron2)
- Time-series forecasting & predictive modeling
- Solid understanding of:
- ML/DL algorithms and optimization
- System design and distributed systems
Backend & Systems
- Experience building:
- Microservices architecture
- High-performance systems (low latency, high throughput)
- Familiar with:
- REST APIs, gRPC
- Asynchronous / concurrent programming
MLOps & Data
- Hands-on experience with:
- ML pipelines (MLflow, Kubeflow)
- Data pipelines (Airflow, Kafka, Spark)
- Containerization (Docker, Kubernetes)
Preferred Qualifications
- Experience with edge AI (NVIDIA Jetson, TensorRT)
- Experience with real-time systems or video analytics
- Familiarity with multimodal or GenAI models
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, AI, or related fields
- Minimum 3+ years of experience in AI/Data Engineering
- Proven experience deploying production AI systems
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