Machine Learning Engineer Devi Technologies
6 days ago
Birmingham
• Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding., • Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases., • Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications., • Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics., • Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives., • Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications., • Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms., • Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities., • Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices., • Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders., • Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes., • Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement., • Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services., • Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes., • Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards. #J-18808-Ljbffr