Machine Learning Engineer
US-VA-McLean
External
Req #: 6515
Type: Full-Time
|
|
|||||||||
|
||||||||||
Overview: We are looking for seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Responsibilities: * Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs. * Analyze and process large datasets to extract meaningful insights and patterns. * Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. * Optimize and fine-tune machine learning models for performance, scalability, and accuracy. * Implement and maintain data pipelines to support machine learning workflows. * Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. * Document processes, experiments, and results to ensure reproducibility and knowledge sharing. * Deploy machine learning models to production environments and monitor their performance. * Stay updated with the latest research and trends in AI to implement cutting-edge solutions. * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications: * Ability to hold a position of public trust with the US government. * Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline * 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. * 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. * Strong programming skills in languages such as Python, R, or Java. * Solid understanding of statistical methods, data structures, and algorithms. * Experience with data preprocessing, feature engineering, and model evaluation techniques. * Familiarity with big data technologies like Hadoop, Spark, or similar. * Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices. * Excellent problem-solving skills and attention to detail. * Strong communication skills and ability to work collaboratively in a team environment. * Ability to manage multiple tasks and projects simultaneously while meeting deadlines.
Share this job:
