AI, Developer

Role Overview

Masterworks is hiring an AI Developer to lead the development of intelligent solutions leveraging Artificial Intelligence technologies, with a focus on Generative AI and advanced analytics. The role is based at a client site.

Role Purpose

Transform data into valuable business insights and develop AI-powered applications that drive smarter decision-making, improve operational efficiency, and support digital transformation initiatives.

Key Responsibilities

Model Development & Optimization

• Design, develop, train, and optimize machine learning models for real applications and use cases.
• Implement feature engineering, model selection, tuning, and evaluation techniques.
• Optimize models for latency, throughput, and cost.
• Monitor model performance, data drift, and model decay; retrain models as needed.

Production & Deployment

• Develop and deploy ML models into production environments with high availability and performance.
• Build and maintain ML pipelines for training, validation, deployment, and monitoring.
• Ensure models meet reliability, scalability, and security standards.
• Deploy models using Docker, Kubernetes, or cloud ML services.

Requirements Translation & Strategy

• Translate business and product requirements into scalable ML/AI solutions.
• Implement experimentation frameworks including A/B testing and offline evaluation.
• Apply responsible AI principles, including fairness, explainability, and governance where required.

Collaboration & Engineering Excellence

• Work closely with Data Scientists, Product Managers, and Software Engineers.
• Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.
• Participate in design and code reviews, ensuring engineering best practices.
• Work in agile, cross-functional teams.

Qualifications & Experience

• Four or more years of hands-on experience in Machine Learning or applied AI roles.
• Strong programming skills in Python and/or Java and Scala.
• Solid understanding of ML algorithms including supervised, unsupervised, and deep learning.
• Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
• Experience with big data technologies (Spark, Kafka, Databricks).
• Background in NLP, Computer Vision, or Generative AI.

Skills & Competencies

• Strong problem-solving and analytical thinking.
• Production-first mindset.
• Data-driven decision making.
• High collaboration and communication skills.
• Proficiency with Dataiku, SQL Server, Power BI, and AWS Bedrock.

Additional Information

Job Location: Client site