Metasys Technologies
Job Title:
Data Scientist
Experience Level:
10 Years
Location:
Atlanta, GA (hybrid)
Duration:
12+ months
Client is seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.
Key Responsibilities
Lead CV Projects:
Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).
Model Development:
Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).
Mentorship:
Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.
Domain Translation:
Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.
Collaboration:
Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success.
Code Quality & Experimentation:
Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.
Innovation & Research:
Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems.
Stakeholder Communication:
Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.
Required Qualifications
Master’s or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
10+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.
Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc.
Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc.
Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure).
Strong communication, leadership, and team collaboration skills.
Preferred Qualifications
Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.
Experience deploying CV models within real-time environments.
Contributions to open-source CV projects or published research.
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
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Data Scientist
Experience Level:
10 Years
Location:
Atlanta, GA (hybrid)
Duration:
12+ months
Client is seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.
Key Responsibilities
Lead CV Projects:
Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).
Model Development:
Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).
Mentorship:
Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.
Domain Translation:
Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.
Collaboration:
Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success.
Code Quality & Experimentation:
Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.
Innovation & Research:
Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems.
Stakeholder Communication:
Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.
Required Qualifications
Master’s or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
10+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.
Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc.
Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc.
Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure).
Strong communication, leadership, and team collaboration skills.
Preferred Qualifications
Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.
Experience deploying CV models within real-time environments.
Contributions to open-source CV projects or published research.
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
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