AI/ML Engineer

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About the Role:

Nuage Consulting is seeking a talented and innovative AI/ML Engineer to develop and deploy cutting-edge machine learning solutions. You will be instrumental in building intelligent systems that drive data-driven insights and automate processes for our clients. This role requires a strong understanding of machine learning algorithms, cloud-based AI/ML services, and software development best practices.

Responsibilities:

• Model Development & Deployment: Design, develop, and deploy machine learning models and algorithms for various applications, including predictive analytics, natural language processing, and computer vision. 
• Machine Learning Pipelines: Build and maintain scalable and efficient machine learning pipelines for data ingestion, preprocessing, model training, and deployment.
• Cloud-Based AI/ML Services: Utilize and integrate cloud-based AI/ML services (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) into client solutions.
• Data Engineering Collaboration: Collaborate with data engineers to ensure data availability, quality, and accessibility for machine learning projects.
• Model Evaluation & Optimization: Evaluate model performance, identify areas for improvement, and optimize models for accuracy, efficiency, and scalability.
• Software Development: Develop and maintain software components for AI/ML applications, including APIs, web services, and data processing tools.
• Research & Development: Stay up-to-date with the latest advancements in AI/ML research and technology, and contribute to internal research and development projects.
• Documentation: Create and maintain clear and concise documentation for AI/ML models, pipelines, and applications.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience as an AI/ML Engineer or similar role. 
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. 
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud-based AI/ML services (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform).
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas).
• Knowledge of data engineering principles and practices.
• Experience with data visualization tools and techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with containerization (Docker, Kubernetes) is a plus.