AI/ML Engineer

Role Description

JRSS is seeking an AI/ML Engineer. True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.

You'll contribute to building and scaling intelligent systems — from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Core Responsibilities

• Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
• Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
• Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL, and Spark.
• Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
• Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

Qualifications

• 3+ years of experience designing, developing, and deploying machine learning models.
• 3+ years of experience with Generative AI, LLMs, or RAG applications.
• 4+ years of hands-on experience with Python for ML and data engineering.
• Experience with SQL for data manipulation and feature engineering.
• Experience with big data tools such as Apache Spark.
• Experience with Databricks and MLOps tools like MLflow.
• Experience with cloud, preferably in Azure.
• Ability to exhibit strong communication and customer-facing skills.
• Ability to thrive both independently and in cross-functional teams.
• Ability to problem solve and stay current with emerging ML trends.

Nice If You Have

• Experience with full-stack development or deploying end-to-end ML applications.
• Experience with chatbot development or conversational AI.
• Experience fine-tuning large models.
• Experience with deploying ML solutions using MLOps pipelines.
• Knowledge of Agile workflows and tools like JIRA.

Benefits

• Join a fast-growing, award-winning team that values professional development, collaboration, and innovation.
• At JRSS, our employees are our greatest asset — and your work will directly support high-impact federal and enterprise missions.

Company Description

JRSS is an IT consulting service provider for Government and Fortune 500 clients. As a certified WOSB, SDB, and HUBZone small business, we specialize in Federal Civilian Data, Cloud, and AI/ML enterprise-level solution architecture, design, implementation, and professional staffing. Recognized on the Inc. 5000 list of fastest-growing private companies, we're proud to foster a collaborative culture where innovation and client impact come first.