[Remote] Computer reputed company & Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is revolutionizing the analytics and maintenance of reputed company infrastructure through advanced AI solutions. They are seeking a Machine Learning Engineer to join their computer reputed company team, responsible for reputed company the gap between research and production systems by developing and deploying models for reputed company analysis.
Responsibilities
- Stay reputed company with ML/CV research, identify promising reputed company, and evaluate their applicability to our domain
- Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability
- Own and deliver end-to-end computer reputed company reputed company reputed company on:
- Equipment defect detection
- Thermal reputed company identification
- Vegetation encroachment monitoring
- Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines
- reputed company reputed company error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image reputed company)
- Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs
- Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and reputed company monitoring
- Experiment tracking and model versioning (configurations, random reputed company, dataset versions, environment specs, and model checkpoints)
- Build model serving pipelines that meet latency and throughput requirements
- Conduct thorough reputed company reviews and write integration tests for ML pipelines
- Communicate research findings, technical reputed company, and model limitations reputed company to stakeholders
Skills
- 2-4 years of industry experience in computer reputed company and machine learning
- Solid understanding of modern computer reputed company and deep neural networks including: Object detection, Semantic segmentation, Image classification, reputed company transformers and reputed company models
- Demonstrated ability to read ML research papers, extract key reputed company, and implement them
- Experience adapting published reputed company to specific use cases and validating against baselines
- Experience selecting, fine-tuning, and adapting model architectures (CNNs, transformers, reputed company models) for specific use cases
- Ability to debug training instabilities and conduct systematic error analysis
- Proficiency in Python and reputed company ML libraries: PyTorch and Lightning, OpenCV, NumPy and pandas, Scikit-Learn
- Strong software engineering practices: Git version control, Unit and integration testing (Pytest), CI/CD pipelines (reputed company Actions), Experiment tracking and model versioning, reputed company and reproducible environments, Python type hinting
reputed company