Machine Learning Software Engineer with Security Clearance

Our client, a leading technology company in the artificial intelligence (AI) industry, is seeking a talented and experienced Software Engineer to join their team. This role is of strategic importance to the company's continued growth and success in the rapidly evolving AI market. As a Machine Learning Software Engineer, you will play a critical role in developing and implementing cutting-edge machine learning solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into robust and scalable machine learning applications. Your work will directly contribute to the company's mission of leveraging AI technology to drive innovation and solve complex challenges. Key Responsibilities: Develop and deploy machine learning models and algorithms to solve business problems
Collaborate with data scientists and software engineers to integrate machine learning capabilities into existing applications
Design and implement scalable and efficient machine learning workflows
Conduct performance optimization and troubleshooting to ensure smooth functioning of machine learning applications
Stay up-to-date with the latest industry trends, research, and best practices in machine learning and AI To excel in this role, you will need to demonstrate practical, real-world experience and knowledge of the following essential skills and qualifications:
Hold an active Security clearance (Ideally Top Secret with SCI Poly)
Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Proficient in data manipulation, feature engineering, and model evaluation techniques
Solid understanding of different machine learning algorithms and their applications
Experience deploying machine learning models into production environments
Strong problem-solving and analytical thinking skills
Additionally, the following desirable skills and experience will be advantageous: Experience with cloud platforms such as AWS, GCP, or Azure
Familiarity with deep learning architectures and frameworks
Knowledge of natural language processing (NLP) or computer vision (CV)
Prior experience working in a remote or distributed team environment