AIML Technical Lead

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!

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.

• 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.

• 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, Tensor Flow, 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.

• 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, Lang Chain, OpenAI APIs, Azure AI, AWS Sage Maker, 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.

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