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Senior Machine Learning Engineer (Computer Vision & NLP/LLM Agents)

oak network • Bangladesh
Remote
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Lead the development of scalable computer vision and NLP/LLM agent solutions for Oak Network’s blockchain-backed crowdfunding and commerce platform. Focus on real-world data feasibility, model reliability, and production deployment, leveraging deep learning, transformers, and evaluation frameworks. Collaborate with engineers to build robust, high-performance AI systems for imagery and structured data extraction.

Key Highlights
Build and deploy production-grade computer vision models for segmentation, detection, and classification at scale
Design NLP/LLM agents for structured data extraction, tool calling, and context management
Establish evaluation suites, ground-truth datasets, and monitoring for model reliability beyond standard benchmarks
Key Responsibilities
Develop computer vision models for segmentation, detection, and classification using deep learning techniques (e.g., CNNs, U-Net, ViTs)
Design and implement NLP/LLM agent solutions for structured data extraction, tool calling, and context management
Create labeling guidelines, construct ground-truth datasets, and establish evaluation frameworks for model validation
Conduct feasibility studies and implement research paper solutions for real-world data challenges
Collaborate with engineers to deploy scalable production models and optimize GPU performance/inference costs
Technical Skills Required
Python Deep Learning (PyTorch) Computer Vision (CNNs, Transformers, ViTs)
Benefits & Perks
Competitive salary determined based on experience and interview performance
Hybrid role with remote work flexibility (one or two potential in-person weekly meetings)
Paid vacation days, sick days, and holidays for full-time employees
Nice to Have
Backend engineering (Python, FastAPI, Postgres)
Distributed systems (job queues, retries, partial failures handling)
Publications in reputed conferences (CVPR, NeurIPS, ACL, etc.)
Remote sensing/geospatial expertise (multispectral imagery, NDVI, GDAL/rasterio)
Observability with OpenTelemetry and GenAI semantic conventions
Foundation models (SAM 3, DINOv3, VLMs) for zero-shot classification

Job Description

About Us

Oak Network builds decentralized infrastructure for crowdfunding and commerce, enabling

creators to run campaigns and shops with seamless blockchain-backed trust and payments.

We are a fully remote global team where members take ownership and collaborate across time

zones. (https://oaknetwork.org/)

The Role

This role focuses on computer vision for extracting insights from imagery at scale, alongside

work on NLP/LLM agents and evaluation frameworks.

A key focus is reasoning about real-world data feasibility, handling missing labels, and validating

model reliability beyond standard benchmarks.

Key Responsibilities

● Build computer vision models for segmentation, detection, and classification

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