Computer Vision Engineer

7 days ago

Lahore, Punjab, Pakistan S4Digital Full time 120,000 - 240,000 per year

Hiring Computer Vision & ML Engineer - Remote from Lahore

Client Company Introduction:


An AI-based agriculture technology firm headquartered in Canada.

Position Overview:

Seeking a 
Senior Computer Vision & ML Engineer
 to lead the development of next generation models for agricultural imagery analysis. You'll own the end-to-end lifecycle from dataset design and deep learning model development to scalable inference and autonomous agent integration. This is a high-impact role where research meets production, blending computer vision, MLops, and agricultural domain knowledge into intelligent, deployable solutions.

Vision Model Development:

  • Design and train object detection, segmentation, and classification models for aerial drone imagery (YOLO, GRIT, Mask R-CNN, GNNs).
  • Build models for crop health assessment, weed detection, off-type/volunteer identification, and yield estimation using multispectral datasets.
  • Apply spectral normalization, tiling, and augmentation for diverse agricultural conditions.

Geospatial Data Processing:

  • Build and optimize orthomosaic pipelines using GDAL, OpenCV, and rasterio.
  • Implement coordinate alignment, geotagging, and crop-level spatial statistics.
  • Integrate drone imagery with field boundaries, weather, and soil datasets.

AI Agents & Automation:

  • Develop and orchestrate multi-agent systems for agricultural decision support (e.g., Crop Doctor, Spray Planner, Compliance Checker).
  • Integrate LLMs and vector databases for contextual crop advisory and autonomous intervention planning.
  • Collaborate with product and data teams to automate inference and generate actionable insights.

Cloud & MLOps Deployment:

  • Containerize and deploy models using Docker, FastAPI, and cloud services (AWS/GCP/Azure).
  • Implement inference APIs, model versioning, and automated retraining pipelines.
  • Ensure scalability, low-latency inference, and cost optimization across environments.

Research & Reporting:

  • Publish internal performance benchmarks and model evaluation reports.
  • Collaborate on research papers and whitepapers in agri-AI, UAV, and geospatial analytics.
  • Support visualization dashboards (e.g., orthomosaic overlays, density maps, and predictive analytics).

Required Skills & Expertise:

  • 3-6 years of experience in AI/ML, Computer Vision, or Geospatial Analytics, ideally in agriculture, environmental science, or remote sensing.
  • Expertise in 
    Python, PyTorch, OpenCV, TensorRT, and NumPy/Pandas
    .
  • Strong knowledge of object detection and segmentation frameworks (YOLOv8/v11, Faster R-CNN, GRIT).
  • Experience with 
    geospatial data tools (GDAL, GeoPandas, rasterio, shapely).
  • Hands-on with containerization and API deployment (Docker, FastAPI).
  • Familiarity with LLMs, LangChain, and vector databases for retrieval-augmented systems.
  • Strong understanding of drone data pipelines from image ingestion to inference output.
  • Excellent documentation, collaboration, and model validation skills

Preferred Qualifications:

  • Background in agriculture technology (AgTech), remote sensing, or environmental AI applications.
  • Experience with 
    Graph Neural Networks (GNNs)
     for spatial reasoning.
  • Publications or hackathon achievements in AI/ML or UAV imagery.
  • Prior experience with automated reporting dashboards (e.g., Streamlit, Power BI, or QGIS plugins).
  • Exposure to LangGraph, RAG pipelines, or multi-agent orchestration frameworks.

Other Details:

  • Work Mode: Remote from Lahore
  • Experience: 3 - 6 Years in ML & Computer Vision
  • Working Timings: 9am-6pm

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