The Company:
Marigold helps brands foster customer relationships through the science and art of connection. Marigold Relationship Marketing is a suite of world-class martech solutions that help marketers create long term customer love and loyalty. Marigold provides the most comprehensive set of use cases for marketers at any level. Headquartered in Nashville, Tennessee, Marigold has offices globally across the United States, Europe, Australia, New Zealand, South America and Central America, as well as in Japan.
The Role:
We are seeking an AI/ML Manager to join our team to develop and implement AI-driven features and machine learning models that will drive the next generation of marketing automation combining generative AI, machine learning and engineering best practices. You should have a firm grasp of modern software engineering, DevOps, and testing practices. You should have a strong background in artificial intelligence and results driven leadership. This role involves collaboration with product owners and stakeholders across time zones.
What You’ll Do:
Collaborate with product, engineering, and data science teams to design, develop, and deploy highly scalable solutions using generative AI and machine learning
Build, manage and grow a mixed discipline team of data scientists, application developers, prompt engineers and quality engineers
Develop and maintain software engineered in Python (and/or Java) integrating with large language models and data technologies such as Clickhouse, Apache Iceberg, and SageMaker Feature store.
Debugging flows across a complex environment; including troubleshooting eventing and ETL issues
Write and maintain comprehensive unit and integration tests for the software you produce.
Optimize AI and machine learning models for accuracy, safety, performance and scalability
Ideal Qualifications:
Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent combination of education and experience
7+ years of hands-on software development experience in Java or Python.
Experience with Large Language Models, Retrieval Augmented Generation, Embeddings, and Vector Databases in a production environment
Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
Experience working with structured and unstructured data, and using advanced data preprocessing techniques
Experience working in Agile or Lean teams, with a strong understanding of DevOps best practices (git, CI/CD, testing)
Familiarity with containerization tools like Docker, Kubernetes, EKS/ECS
Experience with data pipelines, ETL processes, and relational and NoSQL databases (e.g., MySQL, Clickhouse, MongoDB)
Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Experience working with AWS services like EC2, S3, Lambda, and Redshift
Exposure to event streaming or pub/sub technologies like Kafka
Nice to Have:
Experience working in marketing technology or e-commerce industries, with a focus on consumer behavior analysis, data analysis, and predictive modeling
Experience with MLOps and deploying, monitoring services oriented architectures
Passion for staying up-to-date with the latest AI/ML technologies and trends and applying them to solve real-world problems
What We Offer:
The competitive salary and benefits you’d expect!
Generous time off (we call it Open Time Away) as well as paid holidays and a birthday benefit day off.
Retirement contributions.
Employee-centric and supportive remote work environment with flexibility.
Support for life events including paid parental leave.
