Machine Learning Engineer 3

OverviewTitle: Machine Learning Engineer 3 | Duration: 12 months | Location: Atlanta, GA 30309. Position: Onsite | Pay Range: $60-$69/hr on W-2ResponsibilitiesDevelop AI Models: Design and implement machine learning models and algorithms to address business challenges and improve operations.Data Analysis: Analyze large datasets to extract meaningful insights and patterns that inform AI model development.Model Training and Evaluation: Train, test, and validate AI models to ensure accuracy, efficiency, and scalability.Deployment and Integration: Deploy AI models into production environments and integrate them with existing systems and applications.Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance current projects.Collaborate with Teams: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet organizational goals.Performance Monitoring: Monitor the performance of AI models and systems, making adjustments as necessary to optimize outcomes.Documentation: Maintain comprehensive documentation of AI models, algorithms, and processes to ensure knowledge sharing and continuity.QualificationsExperience: Proven experience in AI, machine learning, or data science roles, with a track record of successful AI model development and deployment.Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and statistical methods. Familiarity with Azure cloud platform and services (Azure ML, Azure Databricks).Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple projects simultaneously.Preferred Qualifications: Experience with natural language processing (NLP) and computer vision. Knowledge of big data technologies and tools (e.g., Hadoop, Spark). Understanding of software development lifecycle and agile methodologies #J-18808-Ljbffr

Created: 2025-09-22