[Remote] 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 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 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 reputed company and machine learning
• Solid understanding of modern 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