AI Engineer - Remote

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

• Design, train, and optimize machine learning and deep learning models for classification, regression, NLP, computer vision, or recommendation systems.

• Deploy models into production using scalable and efficient pipelines (MLOps).

• Monitor model performance and retrain/refine models as needed.

Data Engineering & Preparation

• Work with large datasets: collect, clean, preprocess, and transform data from multiple sources.

• Perform feature engineering and selection to enhance model performance.

• Collaborate with data engineering teams to build robust data pipelines.

Algorithm & System Integration

• Integrate AI models into backend systems, APIs, web apps, or cloud services.

• Ensure models are explainable, scalable, and aligned with business goals.

• Research and evaluate new AI tools, libraries, and industry trends to keep solutions cutting-edge.

Documentation & Collaboration

• Document model design, testing results, APIs, and workflows for reproducibility.

• Work cross-functionally with product managers, engineers, and analysts to align on requirements and deliverables.

• Participate in code reviews, Agile ceremonies, and innovation sessions.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.

• 25+ years of experience in AI/ML engineering, data science, or software development.

• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, or similar.

• Experience with cloud platforms like AWS, GCP, or Azure (especially AI/ML services).

• Strong knowledge of machine learning algorithms, model evaluation, and deployment best practices.

• Experience working with REST APIs, databases (SQL/NoSQL), and version control (Git).

Preferred Qualifications:

• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

• Background in deep learning, NLP, computer vision, or generative AI (e.g., LLMs, diffusion models).

• Familiarity with data labeling, A/B testing, and real-time inference systems.

• Publications, GitHub projects, or certifications in AI/ML/Deep Learning (Google, Coursera, AWS Certified Machine Learning, etc.).