

Brooksource
Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a long-term contract, hybrid in Minneapolis, MN, paying $60-70 hourly. Requires 3-5 years Python experience, 2-3 years NLP/LLMs, and 5+ years in commercial ML applications.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
April 1, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Minneapolis, MN
-
π§ - Skills detailed
#NLP (Natural Language Processing) #AI (Artificial Intelligence) #Kubernetes #GitHub #Unsupervised Learning #Transformers #BI (Business Intelligence) #Documentation #Supervised Learning #Cloud #ML (Machine Learning) #Libraries #Python #"ETL (Extract #Transform #Load)" #Data Science #Databricks #Scala #Forecasting #Data Access #Version Control
Role description
Job Title: AI/ML Engineer
Job Location: Hybrid - Minneapolis MN (onsite 3x a week)
Job Type: Long term contract
Job Pay: 60-70 hourly
Overview
This Engineer will be part of a huge initiative where the goal is to improve consumerβs omni-channel experience within sales and marketing. Consumers are Medicare shoppers looking for the best health plan that suits their needs. The engineering team is responsible for designing and implementing an AI focused architecture involving different models (ML, GenAI and LLMs) that work in a cohesive way for various use cases for the consumers.
Responsibilities
β’ Design, develop, and implement models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud.
β’ Write and deploy scalable Python APIs for model inference that can run on Kubernetes, ensuring efficient containerization and orchestration of the agentic flows.
β’ Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
β’ Utilize agentic coding and version control tools such as GitHub Copilot, Claude, etc. for code creation, management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation.
Required Skills
β’ 3β5 years of experience in Python using common data science libraries such as scikit-learn and Databricks
β’ 2-3+ years of experience applying NLP (transformers, gpt, etc.) or LLMs (RAG, vector db, embeddings) in a production setting using large amounts of data with a solid knowledge of NLP concepts
β’ 5+ years of experience applying Machine Learning techniques in a commercial enterprise, including supervised, unsupervised learning, time-series forecasting and other statistical analyses
β’ 1+ years of experience designing and implementing MCP and A2A based agentic frameworks in an enterprise setting
β’ Experience building scalable APIs for the models
β’ Experience using vision and speech models in GenAI
β’ Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
β’ Organized self-starter, with drive and commitment; able to work with little supervision
β’ Strong analytical, quantitative, problem-solving, and critical thinking skills
EEO Statement:
Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
Benefits & Perks
Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employeeβs needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Job Title: AI/ML Engineer
Job Location: Hybrid - Minneapolis MN (onsite 3x a week)
Job Type: Long term contract
Job Pay: 60-70 hourly
Overview
This Engineer will be part of a huge initiative where the goal is to improve consumerβs omni-channel experience within sales and marketing. Consumers are Medicare shoppers looking for the best health plan that suits their needs. The engineering team is responsible for designing and implementing an AI focused architecture involving different models (ML, GenAI and LLMs) that work in a cohesive way for various use cases for the consumers.
Responsibilities
β’ Design, develop, and implement models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud.
β’ Write and deploy scalable Python APIs for model inference that can run on Kubernetes, ensuring efficient containerization and orchestration of the agentic flows.
β’ Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
β’ Utilize agentic coding and version control tools such as GitHub Copilot, Claude, etc. for code creation, management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation.
Required Skills
β’ 3β5 years of experience in Python using common data science libraries such as scikit-learn and Databricks
β’ 2-3+ years of experience applying NLP (transformers, gpt, etc.) or LLMs (RAG, vector db, embeddings) in a production setting using large amounts of data with a solid knowledge of NLP concepts
β’ 5+ years of experience applying Machine Learning techniques in a commercial enterprise, including supervised, unsupervised learning, time-series forecasting and other statistical analyses
β’ 1+ years of experience designing and implementing MCP and A2A based agentic frameworks in an enterprise setting
β’ Experience building scalable APIs for the models
β’ Experience using vision and speech models in GenAI
β’ Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
β’ Organized self-starter, with drive and commitment; able to work with little supervision
β’ Strong analytical, quantitative, problem-solving, and critical thinking skills
EEO Statement:
Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
Benefits & Perks
Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employeeβs needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.






