Moser Consulting is seeking a Machine Learning Engineer/AI Developer to design, develop, and deploy ML models and AI systems to solve complex problems
Requirements
- Strong proficiency in Python and core ML Libraries (scikit-learn, PyTorch, TensorFlow).
- Hands-on experience with LLMs, RAG architectures, and fine-tuning foundation models.
- Familiarity with MLOps practices and tooling.
- Proficiency in containerization and orchestration for model deployment.
- Strong understanding of cloud platforms, with the ability to navigate clients with regulatory or maturity constraints.
- Experience designing ETL/ELT pipelines, ensuring data quality, and applying best practices in data governance.
- Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and foundation model fine-tuning
Responsibilities
- Design, Develop, Deploy, and Monitor complex ETL/ELT data pipelines which may contain various required transformations of data using various languages and techniques.
- Build, train, and deploy machine learning models across supervised, unsupervised, and reinforcement learning paradigms, selecting the right approach based on business need and data characteristics.
- Apply advanced techniques including natural language processing (NLP), computer vision, and time-series forecasting for domain-specific use cases.
- Implement model governance processes: versioning, audit trails, model explainability, and responsible AI practices.
- Experience in containerization with tools such as Docker, Kubernetes for model deployment and scaling.
- Ability to monitor for model drift detection, performance monitoring, logging and observability.
- Integrate ML systems into broader data ecosystems, ensuring seamless interaction with data warehouses, APIs, and operational systems.
Other
- Bachelor’s or Master’s degree in Computer Science/Engineering, Data Science, or a related field; or equivalent years professional experience.
- 3+ years of professional experience in a relevant field.
- Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
- Excellent verbal and written communication skills.
- Must be able to work at least 3 days on-site at a local client
