Computer Vision Engineer

Hiring Computer Vision & ML Engineer - Remote from Mumbai India

Client Company Introduction:

An AI-based agriculture technology firm headquartered in Canada.

Position Overview:

Were seeking a Senior Computer Vision & ML Engineer to lead the development of next generation models for agricultural imagery analysis. Youll 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 pipelinesfrom 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 Mumbai, India
• Experience: 3 - 6 Years in ML & Computer Vision
• Working Timings: 9am-6pm