AIML Engineer

AIML Engineer

Job Location:

Minnetonka Mills, MN Onsite (5days/week) Job Type: Contract Pay Range: $48 –$52 /hour

Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.

• 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.

• 5+ years software engineering with 2+ years shipping ML models to production.
• Strong Python skills and experience with ML frameworks (Tensor Flow/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 Dev Ops 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, Tensor Flow, PyTorch, Docker, REST APIs

RESPONSIBILITIES Model Development Deploymento Design| develop| and deploy machine learning models and algorithms into production environments
1. Apply deep learning technologies for tasks such as computer vision| NLP| NLU| ASR| and semantic understanding. 2. AI Frameworks Toolso Work with agentic AI frameworks like Lang Chain and Lang Graph. oOptimize and quantize GenAI models| including those using RAG| Transformers| and VectorDBs
3.Data Engineering Analysiso Handle large-scale training and inference using platforms like Databricks and PySpark. oPerform statistical analysis| feature engineering| and dimensionality reduction (e.g.| PCA| SVD| UMAP| t-SNE). 4.Software Engineering Integrationo Build scalable AI platforms and integrate ML solutions into existing systems using REST APIs| Docker| and cloud services (Azure| AWS). oCollaborate with cross-functional teams to align AI architecture with business goals.

5.AI Governance Strategyo Participate in AI governance processes including intake| proof-of-concept| and capital planningo

Break down large initiatives into manageable| cost-effective projects with clear KPIs.
6.Mentorship Collaborationo Mentor junior AIML engineers and foster a collaborative| feedback-driven team cultureo

Engage in code reviews| pair programming| and community-based education initiatives

• 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.