AI / ML Engineer

Kforce Inc; Miami (FL); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

HSA

FSA

401(k)

Job summary

Kforce Inc is seeking an AI/ML Engineer in Doral, FL to build, deploy, and monitor AI solutions on a centralized data platform. The role emphasizes Snowflake-based development with Cortex and Snowpark to enable enterprise AI use cases.

The ideal candidate has 5–6 years in AI/ML, deep Python proficiency, and hands-on cloud experience with Snowflake tooling, LangChain, and ECS. This on-site role offers comprehensive benefits and career growth.

Qualifications

• Bachelor's degree in CS, data science, or a related field is required.
• 5-6 years of experience in AI/ML engineering or related software roles.
• Proven production AI/ML deployments and cloud experience.
• Hands-on experience with Snowflake tooling and Cortex capabilities; AWS ECS experience.

Responsibilities

• Develop, deploy, and monitor AI solutions within Snowflake, Cortex, and Snowpark.
• Ingest business requirements and translate processes into production AI use cases.
• Support and monitor the AWS ECS-based AI project and evolving architecture.

Skills

Python

LLM orchestration

Prompt engineering

MLOps

Snowflake Cortex

Education

Bachelor's degree in CS/Data Science

Master's degree in ML/AI/CS (preferred)

Tools

Snowflake

Cortex

Snowpark

LangGraph

LangChain

AutoGen

CrewAI

AWS SageMaker

ECS

Job description

Responsibilities

Kforce has a client that is seeking an AI/ML Engineer in Doral, FL. Summary: This role will focus on building, deploying, and monitoring AI solutions once data is centralized. The future state of this role is Snowflake-based development, enabling AI products and use cases that leverage the centralized enterprise data platform. Primary Responsibilities:

• Develop, deploy, and monitor AI solutions primarily within Snowflake, using Cortex and Snowpark capabilities
• Ingesting business requirements, translating process flows, and bringing AI use cases into production
• Support and monitor the existing AWS ECS container-based AI project that will continue to evolve

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field; Master's degree in machine learning, AI, computer science, statistics is a plus
• 5-6 years of experience in AI/ML engineering, data science, or a closely related software engineering discipline
• Demonstrated experience building and deploying production AI or ML systems
• Hands-on experience with cloud-based AI platforms
• Hands-on experience with agentic frameworks: Snowflake Intelligence, LangGraph, LangChain, AutoGen, or CrewAI
• Experience with LLM orchestration, prompt engineering, and RAG patterns
• Familiarity with CI/CD pipelines and MLOps best practices
• Proficiency with Snowflake AI tooling and Cortex capabilities, Amazon Bedrock, AWS SageMaker, and ECS for AI/ML workloads
• Strong Python skills including experience with ML libraries and API development
• Experience in a corporate or enterprise environment preferred

Ideal Candidate Profile: Candidates may come from a traditional software development background who transitioned into AI or be hyper-specialized in Snowflake and AI development. Strong Snowflake experience is critical.

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.

Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.