Artificial Intelligence Engineer

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.