Algotale Group · 22 hours ago
Algotale - WonderBotz (Python ML Engineer)
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years expAlgotale is a company that specializes in IT services and consulting, focusing on data-driven solutions. They are seeking a Senior ML Engineer to design and optimize object detection models and manage end-to-end detection systems, ensuring production-grade delivery and continuous improvement.
Human Resources
Responsibilities
Design, train, debug, and improve state-of-the-art object detection models for real-world conditions
Build robust training pipelines: datasets, augmentation, caching, versioning, and reproducible experiments
Perform systematic error analysis and ablations to isolate failure modes (data vs model vs inference vs post-processing)
Develop custom detection systems beyond standard training, including multi-stage pipelines, ensembles, and specialized post-processing
Optimize inference for latency, throughput, and memory, including GPU acceleration and export toolchains
Deliver production-grade services using Docker, Linux, CI/CD, and APIs (FastAPI and/or gRPC)
Implement testing strategy across the pipeline (unit, integration, regression), including “golden image” test sets
Set up monitoring and maintenance: logging, metrics dashboards, drift/performance tracking, retraining triggers
Write clear technical documentation, architecture decisions, and trade-off analyses
Read research papers and rapidly translate ideas into working prototypes and deployable components
Qualification
Required
Advanced Python engineering: clean architecture, packaging, typing, testing, profiling
Strong PyTorch experience (must)
Strong model debugging skills and disciplined experimentation
Experiment tracking and reproducibility: W&B and/or MLflow, deterministic runs, seed control
Config management: Hydra and/or OmegaConf
Data pipelines: PyTorch Dataset/DataLoader, augmentation pipelines, caching
Dataset versioning: DVC or equivalent
Strong CV fundamentals: preprocessing, geometry, photometric effects, distortions, camera models
OpenCV expertise for classical CV and integration into modern ML pipelines
Evaluation expertise: mAP, precision/recall, IoU, PR curves, calibration
Hands-on experience with modern detectors such as: YOLO (v5/v8/v9), Faster R-CNN, RetinaNet, EfficientDet, DETR variants
Experience building advanced detection workflows: Multi-stage detection (proposal, refine, classify), Ensemble and stacking strategies, Specialized post-processing tuned to domain constraints
Model export and serving: ONNX export/runtime, plus at least one of TorchScript or TensorRT
GPU inference optimization and performance tuning (batching, throughput, latency, memory)
Deployment: Docker, Linux, CI/CD basics (GitHub Actions and/or GitLab CI)
Service implementation: FastAPI and/or gRPC, model versioning, rollback strategy
Monitoring and lifecycle: drift/performance monitoring, logging, dashboards, retraining triggers
Testing: unit tests for preprocessing/post-processing, integration tests, regression sets, threshold stability tests
Ability to read papers and implement ideas quickly
Strong debugging methodology, ablation design, and error analysis
Clear technical writing and engineering decision-making
Preferred
TensorFlow optional
Experience with engineering drawings and technical documents
PDF vector vs raster workflows, line detection, symbol detection
Table/diagram understanding, CAD-like concepts, annotation workflows
OCR + vision hybrid systems (even if not OCR-first)
PyMuPDF and/or pdfplumber
Image rasterization, coordinate transforms
Handling noisy scans: skew/warp correction, deskewing
Instance segmentation: Mask R-CNN, YOLO-seg
Keypoints, pose, landmark detection
Tracking for video: ByteTrack, DeepSORT
Company
Algotale Group
Algotale is a premier IT staffing and software solutions provider, delivering top-tier talent and custom-built technology to drive business success.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase