AI, Developer

Master Works is seeking an AI, Developer to lead the development of intelligent solutions leveraging Artificial Intelligence technologies, with a focus on Generative AI and advanced analytics. The successful candidate will 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: - Design, develop, train, and optimize machine learning models for real applications or use cases. - Translate business and product requirements into scalable ML/AI solutions. - Implement feature engineering, model selection, tuning, and evaluation techniques. - Develop, and deploy ML models into production environments with high availability and performance. - Build and maintain ML pipelines (training, validation, deployment, monitoring). - Monitor model performance, data drift, and model decay; retrain models as needed. - Ensure models meet reliability, scalability, and security standards. - 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. - Optimize models for latency, throughput, and cost. - Implement experimentation frameworks (A/B testing, offline evaluation). - Apply responsible AI principles, including fairness, explainability, and governance where required. Requirements Requirements & Qualifications: - +4 years of hands-on experience in Machine Learning or applied AI roles. - Strong programming skills in Python (and/or Java, Scala). - Solid understanding of ML algorithms (supervised, unsupervised, deep learning). - Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn. - Experience deploying models using Docker, Kubernetes, or cloud ML services. - Strong knowledge of data structures, algorithms, and software engineering principles. - Experience working in agile, cross-functional teams. - 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. - Strong problem-solving and analytical thinking - Production-first mindset - Data-driven decision making - High Collaboration and communication skills Tools & Technologies: - Dataiku - SQL server - Power bi, - Aws bedrock Job Location: Client site