Machine Learning Engineer

US Citizen is required

Tampa, FL (Hybrid)

No C2C Inquiries please

As an experienced engineer, you know that Machine Learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support DoD program offices. As an ML Engineer on our AI-enabled team, you will train, test, deploy, and maintain models that learn from data. In this role, you will own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientist, solutions architects, and product owners to deliver world class solutions to DoD and Federal clients.

Responsibilities

• Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
• Optimize machine learning algorithms.
• Contribute to building an infrastructure that facilitates end-to-end ML workflows.
• Explore new technologies like quantum engineering for advanced model development.
• Collaborate with cross-functional teams to enhance data processing pipelines.
• Communicate and coordinate with teams to accomplish objectives and deliver excellence.

Requirements

• Top Secret clearance required (can be sponsored).
• 3 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• 4 years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
• Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
• Experience with one or more Deep Learning packages including but not limited to
• TensorFlow and PyTorch.
• Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.

Nice to Have

• Recent DoD or IC-related experience.
• Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
• Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra.