Artificial intelligence engineer Remote

We are seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent systems that transform data into actionable insights and business value. This role focuses on building scalable machine learning solutions, predictive models, decision-support systems, and AI-powered applications that enhance operational efficiency and support data-driven decision-making. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing, deploying, and maintaining AI/ML solutions in production environments.

• Design, develop, and deploy machine learning models and AI-powered applications.

• Build predictive analytics, classification, recommendation, forecasting, and optimization solutions.

• Translate business requirements into scalable AI/ML systems.
• Improve operational efficiency through intelligent automation and decision-support tools.
• Ensure model accuracy, reliability, explainability, and performance.
• Work with large-scale structured and unstructured datasets.
• Develop data pipelines for model training, validation, and inference.
• Perform feature engineering, data preprocessing, and model evaluation.
• Collaborate with data engineering teams to ensure data quality and availability.
• Deploy machine learning models into production environments.
• Build and maintain scalable model-serving infrastructure.
• Containerize and orchestrate AI services using Docker and Kubernetes.
• Monitor model performance, drift, reliability, and system health.
• Implement CI/CD pipelines for machine learning workflows.
• Integrate AI services into APIs, applications, and enterprise platforms.
• Design scalable cloud-based AI solutions using AWS, Azure, or Google Cloud.
• Ensure security, compliance, and governance requirements are met.
• Optimize model inference performance and infrastructure costs.

• Partner with product managers, software engineers, data engineers, and business stakeholders.

• Research and evaluate emerging AI/ML technologies and frameworks.
• Drive innovation through experimentation, prototyping, and continuous improvement.
• Provide technical guidance and mentorship to engineering teams when needed.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

• 5+ years of software engineering experience.

• 2+ years of experience building and deploying machine learning systems in production environments.

• Strong programming skills in Python. * Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.

• Strong understanding of statistics, machine learning algorithms, and model evaluation techniques.

• Experience designing and consuming RESTful APIs.
• Experience with relational and non-relational databases.
• Strong knowledge of software development best practices and system design.

• Experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG).

• Experience with NLP, computer vision, recommendation systems, or predictive analytics.
• Hands-on experience with MLOps tools and frameworks.
• Experience with vector databases and semantic search systems.
• Familiarity with model monitoring, explainability, and governance frameworks.

• Experience working in regulated industries such as healthcare, finance, insurance, or automotive.

• Knowledge of distributed data processing frameworks such as Apache Spark.