AI Engineer - Remote
AI Engineer - Remote
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Job Description
Job Summary:
We are seeking a skilled and innovative AI Engineer to design develop and deploy Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate will have strong experience in AI/ML model development deep learning frameworks and algorithm optimization with the ability to work on real-world data at scale. This role involves close collaboration with data scientists software engineers and product teams to build intelligent applications and systems.
Key Responsibilities:
Model Development & Deployment
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Design train and optimize machine learning and deep learning models for classification regression NLP computer vision or recommendation systems.
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Deploy models into production using scalable and efficient pipelines (MLOps).
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Monitor model performance and retrain/refine models as needed.
Data Engineering & Preparation
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Work with large datasets: collect clean preprocess and transform data from multiple sources.
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Perform feature engineering and selection to enhance model performance.
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Collaborate with data engineering teams to build robust data pipelines.
Algorithm & System Integration
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Integrate AI models into backend systems APIs web apps or cloud services.
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Ensure models are explainable scalable and aligned with business goals.
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Research and evaluate new AI tools libraries and industry trends to keep solutions cutting-edge.
Documentation & Collaboration
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Document model design testing results APIs and workflows for reproducibility.
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Work cross-functionally with product managers engineers and analysts to align on requirements and deliverables.
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Participate in code reviews Agile ceremonies and innovation sessions.
Required Qualifications:
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Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or related field.
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25 years of experience in AI/ML engineering data science or software development.
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Proficiency in Python and libraries such as TensorFlow PyTorch Scikit-learn OpenCV Hugging Face or similar.
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Experience with cloud platforms like AWS GCP or Azure (especially AI/ML services).
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Strong knowledge of machine learning algorithms model evaluation and deployment best practices.
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Experience working with REST APIs databases (SQL/NoSQL) and version control (Git).
Preferred Qualifications:
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Experience with MLOps tools (MLflow Kubeflow Airflow Docker Kubernetes).
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Background in deep learning NLP computer vision or generative AI (e.g. LLMs diffusion models).
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Familiarity with data labeling A/B testing and real-time inference systems.
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Publications GitHub projects or certifications in AI/ML/Deep Learning (Google Coursera AWS Certified Machine Learning etc.).
What We Offer:
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Competitive salary and performance-based incentives.
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Health dental vision and retirement benefits.
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Flexible work schedule and remote work opportunities.
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Opportunities for continuous learning and certifications.
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Collaborative high-tech environment with cutting-edge tools and resources.
Employment Type
Full Time
