Machine Learning Engineer - Mid
4 days ago
Tampa
Job DescriptionBenefits: • Retirement Plan, • 401(k), • 401(k) matching, • Bonus based on performance, • Company parties, • Competitive salary, • Dental insurance, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development 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., • 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., • 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. Benefits • Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law., • Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families., • Retirement Plan We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds., • Paid Time Off - Based on length of service, we offer a generous amount of paid leave., • Bonus System As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year., • Professional Development Support for career growth through training programs and certifications., • Company Retreats & Team Events Sponsored trips, team-building activities, and annual conferences related to your skillset.