System Analyst Artificial Intelligence/Machine Learning

DANE LLC; Virginia (MN); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Flexible work from home options

Job summary

DANE LLC in Virginia is seeking a highly motivated System Analyst to join the Data Management team. The ideal candidate will work closely with the Information and Business Analytics team to build and optimize machine learning models and artificial intelligence solutions.

You will collaborate with stakeholders to understand requirements and develop data visualizations using tools like Power BI. Experience in Python and machine learning frameworks is required. Flexible work from home options are available.

Qualifications

• 2+ years of experience in AI/ML development.
• Experience with model design, training, and deployment.
• Knowledge of RESTful APIs and microservices architecture.

Responsibilities

• Design, build, and optimize machine learning models.
• Collaborate with functional experts to understand requirements.
• Monitor and maintain deployed models for performance.

Skills

Proficiency in Python

Experience with machine learning libraries

Knowledge of Azure

Experience with databases

Excellent problem-solving skills

Strong communication skills

Education

Bachelor’s degree in Data Science or a related field

Master’s degree preferred

Tools

Pandas

NumPy

TensorFlow

GitHub

MySQL/PostgreSQL

Job description

Position Summary

DANE is seeking a highly motivated System Analyst to join the Data Management team. The ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject‑matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives. The candidate should have experience collecting stakeholder requirements, translating them into actionable plans, and developing data visualizations using tools such as Microsoft Power BI.

The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks, and experience developing ML models and AI agents using Python. Familiarity with the Microsoft Azure environment is required.

Position Responsibilities

• Design, build, and optimize machine learning models and configure data pipelines to source data from various business systems.
• Collaborate with functional experts to understand requirements and translate them into technical solutions.
• Develop and deploy models in production environments.
• Monitor and maintain deployed models to ensure accuracy, performance, and reliability.
• Work with datasets and cloud platforms to build efficient data pipelines.
• Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
• Write clean, maintainable, and well‑documented code following software engineering best practices.
• Participate in code reviews, design discussions, and team collaborations to improve overall software quality.
• Develop and maintain reports based on stakeholders’ requirements using Power BI Paginated Reports Builder.
• Support the development, maintenance, and enhancement of reports and dashboards across the organization.
• Assist in the configuration and management of database/system connections.
• Perform other related duties and activities as needed.

Required Skills

• Bachelor’s degree in Data Science or a related field (Master’s degree preferred).
• 2+ years of experience in AI/ML development, including model design, training, and deployment.
• Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit‑learn, or similar.
• Knowledge of Azure subscription, Azure Machine Learning workspace, and Azure App Services.
• Experience with GitHub for code version control.
• Experience with databases such as MySQL, PostgreSQL, etc.
• Knowledge of RESTful APIs and microservices architecture.
• Familiarity with server‑side security best practices and implementation.
• Excellent problem‑solving skills and ability to work in a collaborative, fast‑paced environment.
• Strong communication skills and the ability to translate complex concepts into clear solutions.

Physical Demands and Work Environment

• The work is mostly sedentary with periods of light physical activity. Workers may need to stand for short periods, lift and carry up to 20 pounds, climb stairs, bend, reach, hold, grasp, and turn objects, and operate a computer.
• Primary work is performed indoors in a standard office setting with moderate noise levels and frequent interruptions.

Benefits

Flexible work from home options available.