AI/ML Engineer

MARS Solutions Group; Vinings (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

MARS Solutions Group is seeking an AI/ML Engineer to design, develop, and deploy scalable AI and ML solutions. You will collaborate with engineering, product, and support teams to deliver intelligent workflows and data-driven insights.

Responsibilities include building real‑time data pipelines, deploying production ML systems, and optimizing LLM workflows with a focus on security and governance. Strong Python and ML framework experience required.

Qualifications

• 3+ years of AI/ML engineering, data science, or intelligent automation.
• 3+ years of hands on experience with modern cloud platforms including compute, data, and AI services.
• 3+ years of proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit learn.
• Experience building real time, streaming, or event driven data pipelines.
• Proven track record of designing, deploying, and maintaining production grade ML systems.
• Knowledge of APIs, microservices, and secure integration patterns.

Responsibilities

• Design and implement AI powered conversational flows and automated decisioning logic.
• Build secure data integrations to enable real time processing and intelligent responses.
• Optimize large language model (LLM) workflows for accuracy, performance, and usability.
• Apply machine learning techniques to structured and unstructured data from various systems.
• Develop predictive models to identify trends, detect anomalies, and support proactive decision making.
• Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.
• Integrate AI driven insights into internal tools to support agents and operations teams.
• Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.
• Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.
• Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.
• Ensure all automated actions adhere to defined compliance, authorization, and security rules.
• Develop dashboards and reporting tools for system health, workflow performance, and model metrics.

Skills

AI/ML engineering

Cloud platforms

Python ML frameworks

Data pipelines

Production ML systems

APIs & microservices

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Overview

The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine learning solutions that enhance customer interactions, automate decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data driven insights, and automation frameworks in collaboration with cross functional engineering, product, and support teams.

Responsibilities

AI Driven Interactions & Automation

• Design and implement AI powered conversational flows and automated decisioning logic.
• Build secure data integrations to enable real time processing and intelligent responses.
• Optimize large language model (LLM) workflows for accuracy, performance, and usability.

Data Analytics & Predictive Modeling

• Apply machine learning techniques to structured and unstructured data from various systems.
• Develop predictive models to identify trends, detect anomalies, and support proactive decision making.
• Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.

Real Time Intelligence for Internal Teams

• Integrate AI driven insights into internal tools to support agents and operations teams.
• Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.
• Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.

Automated Workflows & Operational Safety

• Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.
• Ensure all automated actions adhere to defined compliance, authorization, and security rules.
• Develop dashboards and reporting tools for system health, workflow performance, and model metrics.

Qualifications

JOB REQUIREMENTS:

Minimum Qualifications

• 3+ years of experience in AI/ML engineering, data science, or intelligent automation.
• 3+ years of hands on experience with modern cloud platforms including compute, data, and AI services.
• 3+ years of proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit learn.
• Experience building real time, streaming, or event driven data pipelines.
• Proven track record of designing, deploying, and maintaining production grade ML systems.
• Knowledge of APIs, microservices, and secure integration patterns.

Preferred Qualifications

• 3+ years of Experience with IoT, device telemetry, or distributed sensor data systems.
• 3+ years of Background in LLM tuning, retrieval augmented generation (RAG), and conversational AI.
• Familiarity with contact center platforms or enterprise workflow automation systems.
• Understanding of authentication, authorization, and access control frameworks.

PHYSICAL DEMANDS:

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.