AI Engineer (Remote)

New Today

Description
: Parsons is looking for an amazingly talented AI Engineer to join our team! In this role you will get to develop, and support internal AI/ML/IA use cases while contributing to the build-out of our Internal AI program. What You'll Be Doing: Machine Learning Development:  Build and optimize machine learning models, including ARIMA, regression, classification models, LDA, topic modeling, and other statistical techniques to support internal use cases.
Deep Learning Model Training:  Develop and fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), to address complex business challenges.
AI/ML Operations:  Utilize Snowflake Cortex AI features (or Databricks ML Ops tools such as MLFlow and workflows) to deploy and manage machine learning pipelines.
Agentic AI Solutions:  Implement agentic AI frameworks using open-source packages like LangGraph and LangFlow to enable intelligent automation.
CI/CD Integration:  Collaborate with development teams to integrate machine learning workflows into CI/CD pipelines using GitHub Copilot and other tools.
Business Analysis:  Leverage prior business analysis experience to understand stakeholder requirements, translate them into technical solutions, and ensure alignment with organizational goals.
What Required Skills You'll Bring: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
3-5 years of experience in machine learning, data science, or AI development.
Proficiency in Python, R, or other programming languages commonly used in machine learning.
Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deep learning libraries.
Familiarity with Snowflake Cortex AI features or Databricks ML Ops tools (MLFlow, workflows).
Knowledge of agentic AI frameworks and open-source packages like LangGraph and LangFlow.
Experience with CI/CD pipelines and GitHub Copilot for code development and deployment.
Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
What Desired Skills You'll Bring: Previous experience in business analysis or working directly with stakeholders to define requirements.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
Experience with Snowflake’s latest AI features is a plus.
Security Clearance Requirement: NoneThis position is part of our Corporate team.For over 80 years, Parsons Corporation, has shaped the future of the defense, intelligence, and critical infrastructure markets. Our employees work in a close-knit team environment to find new, innovative ways to deliver smart solutions that are used and valued by customers around the world. By combining unique technologies with deep domain expertise across cybersecurity, missile defense, space, connected infrastructure, transportation, smart cities, and more, we're providing tomorrow's solutions today.Salary Range: $86,700.00 - $151,700.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to.
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Location:
Remote

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