AI/ML Engineer

Talentify; Minnetonka (MN); On-site; USD 83,000 - 90,000; Full time

Job summary

Diverse Lynx LLC seeks an AI/ML Engineer in Minnetonka Mills, MN onsite to build, train and tune ML models for production.

You will translate experiments into scalable services, collaborate with data engineering, own model lifecycle tooling, and ensure production health. This contract role focuses on ML systems, Python, TensorFlow/PyTorch, and containerized deployments.

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).

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 Eligible to workimization.
• 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.

Skills

Python

TensorFlow

PyTorch

CI/CD

MLOps

Tools

Docker

Kubernetes

REST APIs

Job description

Title: 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 Eligible to workimization.
• 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 Eligible to workimization 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

Disclaimer:

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