AI/ML Engineer

AI/ML Engineer Location: Minnetonka Mills, MN - Onsite Duration: 6-12+ Months Contract Rate: $60-65/hr on c2c with VMS charges. Job Description: 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: Role: AI/ML Engineer Required 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 Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time. Security Notice: Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC. Diverse Lynx