AI​/ML Engineer

Summary

Come join a company that strives for Extraordinary People and Exceptional Performance. Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for an experienced AI/ML Engineer. 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.

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

• 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 optimise 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.

• 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.

• 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.

USD $80,000.00 / Yr. Up to USD $90,000.00 / Yr.

• Paid Time Off
  • PTO / Vacation – 5.67 hours accrued per pay period / 136 hours accrued 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.
  • Protection.