AI/ML developer

Job DescriptionJob Description AI/ML developer Minnetonka Mills, MN Role Summary Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Key Responsibilities Translate data science prototypes into production-grade ML services and pipelines. - Build training and inference code with reproducibility, versioning, and automated testing. - Implement scalable model serving (online/offline), batching, and latency/throughput optimization. - Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring). - Collaborate with Data Engineering on feature pipelines and data contracts. - Own production health: drift detection, performance regression, rollback strategies, and incident response. Required Qualifications - 5 years software engineering with 2 years shipping ML models to production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch). - Experience with containers and orchestration (Docker/Kubernetes) and API development. - Understanding of ML system design (data leakage, training-serving skew, drift). - CI/CD and DevOps practices applied to ML workloads (MLOps). Preferred / Nice to Have - Experience with feature stores, model registries, and model monitoring stacks. - GPU optimization and distributed training experience. - Experience with responsible AI toolkits and compliance requirements. Core Skills (from POD sheet) Python, TensorFlow, PyTorch, Docker, REST APIs Role Descriptions: RoleAIML EngineerRequired Skills 3 years of experience applying NLP (transformers| gpt| etc) in a production setting using large amounts of data 2-3 years of experience applying LLMs (RAG| vector db| embeddings) to solve real world problems 2-3 years of experience in Python using common data science libraries such as scikit-learn and Databricks Experience applying data science techniques in a commercial enterprise| including supervised| unsupervised learning| NLP| time-series forecasting and other statistical analyses Experience building APIs for the models Strong written verbal communication skills including the ability to present detailed analyses to a broad audience Organized self-starter| with drive and commitment able to work with little supervision Strong analytical| quantitative| problem-solving| and critical thinking skills Experience using vision and speech models in GenAI Essential Skills: RoleAIML EngineerRequired Skills 3 years of experience applying NLP (transformers| gpt| etc) in a production setting using large amounts of data 2-3 years of experience applying LLMs (RAG| vector db| embeddings) to solve real world problems 2-3 years of experience in Python using common data science libraries such as scikit-learn and Databricks Experience applying data science techniques in a commercial enterprise| including supervised| unsupervised learning| NLP| time-series forecasting and other statistical analyses Experience building APIs for the models Strong written verbal communication skills including the ability to present detailed analyses to a broad audience Organized self-starter| with drive and commitment able to work with little supervision Strong analytical| quantitative| problem-solving| and critical thinking skills Experience using vision and speech models in GenAI Desirable Skills: Keyword: Skills: Digital : Machine Learning~Digital : Natural Language Processing (NLP)~AI & Gen AI - Products & Tools Experience Required: 4-6