AI/ML Engineer - Remote

Overview

At Provation, AI and machine learning are at the core of our innovation and success. We are seeking an experienced AI/ML Engineer who will lead efforts to design, build, and maintain cutting-edge AI-driven solutions that enhance Provation’s products. The AI/ML Engineer will be responsible for developing scalable machine learning models, optimizing AI architectures, and ensuring seamless integration of AI solutions across various business functions.

In Short

• Design, develop, and deploy scalable machine learning models and AI solutions for Provation’s products.
• Implement best practices in AI/ML model development, including data preprocessing, feature engineering, model training, and optimization.
• Work closely with Product Management, Data Science, and Engineering to evaluate, develop, and maintain innovative AI-powered solutions.
• Manage and scale data pipelines to support AI/ML workflows, ensuring efficient data availability for training and inference.
• Research and implement state-of-the-art AI/ML techniques, including deep learning, NLP, computer vision, and generative AI.
• Develop and manage MLOps workflows, ensuring model monitoring, retraining, and governance in production.
• Collaborate with DevOps and software engineering teams to deploy AI models in cloud environments including integration of AI/ML models with .NET microservices and Kubernetes.
• Ensure compliance with security, ethical AI, and regulatory requirements (e.g., HIPAA, GDPR) when working with sensitive data.
• Develop and implement methods to measure the accuracy and effectiveness of AI solutions, ensuring continuous improvement and adherence to performance standards.
• Participate in Agile development processes, including daily stand-ups, sprint planning, and code reviews.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience.
• Proven experience as an AI/ML Engineer, Data Scientist, or related role with a strong focus on developing AI/ML-driven solutions.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with generative AI and large language models (LLMs), including their development, deployment, and optimization.
• Hands-on experience in building and optimizing deep learning models for NLP, computer vision, or time-series forecasting.
• Experience working with cloud-based AI/ML platforms (Azure ML, Azure AI Foundry).
• Solid understanding of data structures, algorithms, and distributed computing.
• Knowledge of MLOps principles and experience with tools such as MLflow, Kubeflow, or Airflow.
• Experience with C# and .NET.
• Experience deploying AI/ML models in containerized environments (Docker, Kubernetes) is a plus.
• Strong understanding of AI ethics, data privacy, and security considerations.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and training.
• Flexible work hours and remote work options.
• Collaborative and innovative work environment.
• Access to cutting-edge technology and tools.