AI/ML Engineer

Chenega Corporation; Georgia; Hybrid; USD 80,000 - 90,000; Full time

Benefits offered by this job

Paid time off

Health benefits

Spending accounts

Retirement plan

Voluntary benefits

Job summary

Chenega Corporation seeks an experienced AI/ML Engineer to design, develop, and deploy scalable ML systems, including Generative AI and RAG applications, across industries. You will join a collaborative team of technologists and data scientists to tackle meaningful challenges using ML, Generative AI, and modern tools.

You will contribute to building and scaling intelligent systems—from core ML models to chatbot and RAG applications—with strong skills in Python, SQL, and cloud platforms like

Qualifications

• 3+ years of experience designing, developing, and deploying ML models.
• 3+ years in Generative AI, LLMs, or RAG applications.
• 4+ years hands-on Python for ML and data engineering.
• Experience with SQL for data manipulation and feature engineering.
• Experience with Apache Spark.
• Experience with Databricks and MLflow.
• Experience with Azure cloud platforms.
• Successfully pass background and drug screening.

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.
• Other duties as assigned.

Skills

Python

Generative AI

SQL

Apache Spark

Databricks

MLflow

Azure

Tools

MLflow

Databricks

Azure Cloud

Job description

Overview

Position contingent on contract award - details below are subject to change based on final award. Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for an experienced 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.

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, and innovative solutions for our clients.

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.
• Other duties as assigned.

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
• Successfully pass background and drug screening

Preferred Qualifications

• 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

Final salary determination based on skill-set, qualifications, and approved funding.

Benefits

• Paid Time Off – PTO / Vacation, 5.67 hours accrued per pay period / 136 hours annually; Paid Holidays - 11; California residents receive an additional 24 hours of sick leave per year
• Health & Wellness – Medical, Dental, Vision, Prescription, Employee Assistance Program, Short- & Long-Term Disability, Life and AD&D Insurance
• Spending Account – Flexible Spending Account, Health Savings Account, Health Reimbursement Account, Dependent Care Spending Account, Commuter Benefits
• Retirement – 401k / 401a
• Voluntary Benefits – Hospital Indemnity, Critical Illness, Accident Insurance, Pet Insurance, Legal Insurance, ID Theft Protection

Estimated Salary/Wage – USD $80,000.00/yr. Up to USD $90,000.00/yr.