AI/ML Technical Lead

Globenet Consulting Corp; Bellevue (WA); On-site; USD 150,000 - 230,000; Full time

Job summary

The AES Group in Fort Belvoir, VA is seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. You will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions.

The ideal candidate has strong technical leadership, production AI/ML experience, and expertise in Large Language Models, with responsibilities spanning model development, deployment, and governance.

Qualifications

• Active Secret security clearance or higher.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or related field.
• Three or more years of experience in AI, machine learning, data science, or software engineering.
• Strong Python programming skills.
• Experience developing and deploying production machine learning models.
• Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation.
• Experience processing large datasets using modern data tools.
• Familiarity with APIs, cloud platforms, and software development practices.
• Ability to communicate complex technical concepts to technical and non-technical stakeholders.

Responsibilities

• Lead the design, development, training, testing, and deployment of AI and ML models.
• Build scalable ML pipelines for data processing, model training, validation, and production deployment.
• Work with structured and unstructured data, including text, images, documents, and large datasets.
• Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications.
• Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance.
• Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions.
• Research and apply modern AI/ML tools, techniques, architectures, and best practices.
• Monitor deployed models and address model drift, bias, data quality, and performance issues.
• Document model architecture, assumptions, limitations, metrics, and technical decisions.
• Promote responsible AI practices related to security, privacy, fairness, governance, and compliance.
• Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams.

Skills

Python programming

Communication

Leadership

Education

Bachelor’s degree in CS/DS/ML/Statistics/Math/Engineering

Master’s degree or PhD (preferred)

Tools

PyTorch

TensorFlow

Scikit-learn

Keras

XGBoost

Job description

Benefits:

• Competitive salary
• Opportunity for advancement
• Training & development

Role: AI/ML Technical Lead

Location: Fort Belvoir, VA 22060

Let’s Create Our Future Together at The AES Group!

Position Overview

We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models.

Key Responsibilities

• Lead the design, development, training, testing, and deployment of AI and machine learning models.
• Build scalable ML pipelines for data processing, model training, validation, and production deployment.
• Work with structured and unstructured data, including text, images, documents, and large datasets.
• Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications.
• Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance.
• Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions.
• Research and apply modern AI/ML tools, techniques, architectures, and best practices.
• Monitor deployed models and address model drift, bias, data quality, and performance issues.
• Document model architecture, assumptions, limitations, metrics, and technical decisions.
• Promote responsible AI practices related to security, privacy, fairness, governance, and compliance.
• Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams.

Required Qualifications

• Active Secret security clearance or higher.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
• Three or more years of experience in AI, machine learning, data science, or software engineering.
• Strong Python programming skills.
• Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks.
• Experience developing and deploying production machine learning models.
• Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation.
• Experience processing large datasets using modern data tools.
• Familiarity with APIs, cloud platforms, and software development practices.
• Ability to communicate complex technical concepts to technical and non-technical stakeholders.

Preferred Qualifications

• Master’s degree or PhD in a related field.
• Experience with Generative AI, LLMs, NLP, computer vision, or deep learning.
• Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI.
• Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines.
• Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses.
• Knowledge of AI governance, ethics, bias testing, security, and data privacy standards.
• Experience deploying AI solutions in enterprise environments.

Technical Skills

• Languages: Python, SQL, and R
• ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost
• Cloud Platforms: AWS, Microsoft Azure, or Google Cloud
• MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD
• Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks
• AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases