Observability Analyst; Dynatrace

Overview

Job Title: Observability Analyst (Dynatrace)

Location: Mclean VA

Duration: Fulltime

• Java
• Python

• Design and develop AI systems
• Create and implement AI-powered applications and algorithms to solve business challenges.
• Build machine learning models
• Develop and train models using tools like Tensor Flow and PyTorch for tasks such as natural language processing (NLP) and computer vision.
• Program and code
• Write clean, efficient, and robust code in languages such as Python, Java, or R.
• Data management
• Analyze, preprocess, and manage large datasets to ensure accuracy and reliability for AI solutions.
• Testing and optimization
• Conduct tests on AI systems and optimize models for performance, efficiency, and scalability.
• Integration and deployment
• Integrate AI models into existing software and systems, often via APIs, and deploy them into production.
• Collaboration
• Work with data scientists, product managers, and other stakeholders to align AI solutions with business goals.
• Stay current
• Keep up-to-date with the latest AI trends, techniques, and technologies to enhance and innovate AI systems.

• Proficiency in programming languages like Python, Java, or R.
• Experience with AI frameworks such as Scikit-Learn, Keras, Tensor Flow, and PyTorch.
• Strong knowledge of machine learning, deep learning, neural networks, NLP, and computer vision.
• Experience with data preprocessing, data transformation, and data analysis.
• Familiarity with cloud-based ML platforms like AWS Sage Maker or Azure ML is often a plus.
• A degree in computer science, software development, or a related field is often required or preferred

Good communication and team working skills

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.