AI/ML Engineer
About The Position
We are seeking a mid-level Machine Learning Engineer / AI-ML Developer with 3–7 years of experience to design, build, deploy, and maintain machine learning solutions in production environments. This role requires strong expertise in Python, machine learning libraries, SQL, data pipelines, feature engineering, and model lifecycle management, along with experience working with both structured and unstructured data. The ideal candidate will help translate business problems into scalable analytical and modeling solutions and contribute to the development of production-grade AI/ML systems on cloud platforms such as Azure, AWS, or GCP. This position is based onsite in Omaha, NE.
Requirements
- 3–7 years of experience in machine learning, data science, or applied AI roles.
- Strong hands-on experience with Python, machine learning libraries, and SQL.
- Experience building and deploying machine learning models in production environments, including work with data pipelines, feature engineering, and model lifecycle management.
Nice To Haves
- Exposure to LLMs, Generative AI, RAG, NLP, MLOps, Databricks, Snowflake, Spark, APIs, optimization methods, or streaming data environments is a plus.
Responsibilities
- Design, develop, and deploy machine learning models
- Build and implement ML models for business use cases using Python and relevant ML libraries.
- Deploy models into production environments with a focus on scalability and reliability.
- Develop and maintain data pipelines and feature engineering workflows
- Create and optimize pipelines for data ingestion, transformation, and preparation.
- Support model performance through effective feature engineering and lifecycle management practices.
- Translate business problems into analytical and modeling solutions
- Work on real-world business challenges by defining the right ML approach, selecting suitable techniques, and delivering actionable model outputs.
- Work with structured and unstructured data
- Analyze and process diverse data types including tabular data, text, and image-based datasets.
- Ensure data quality and suitability for model training and evaluation.
- Support model deployment and cloud-based ML solutions
- Contribute to implementation on cloud platforms such as Azure, AWS, or GCP.
- Assist in integrating models into applications and enterprise workflows.
Benefits
- medical, dental, and vision insurance
- comprehensive employee assistance program
- 401(k) retirement plan
- paid time off and holidays
- paid learning days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
