Posted at: 15 January

Computer Vision & ML Engineer | Remote from Mumbai | USD Salary

Company

HR Ways

HR Ways is a global technical recruitment firm headquartered in Pakistan, specializing in connecting IT talent with software houses and IT product companies across multiple countries.

Remote Hiring Policy:

HR Ways embraces a fully remote work model, hiring globally from various regions including Pakistan, Canada, the US, the UK, and more, allowing team members to collaborate across time zones.

Job Type

Full-time

Allowed Applicant Locations

India

Salary

$30,000 to $60,000 per year

Apply Here

Job Description

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

About HR Ways:

HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel https://whatsapp.com/channel/0029VamSiLr5fM5fMtAdCS2M to stay updated or visit www.hrways.co to know more."

Apply Here