AI/ML Solutions Machine Learning Engineer - Cloud Computing

Senior AWS Cloud & Security Project Manager📍 Location: Virginia, US🏢 Industry: IT Services and IT Consulting💼 Work Setting: HybridAre you passionate about helping organizations harness the power of artificial intelligence, machine learning, and cloud technologies to solve complex business challenges? We are seeking a Delivery Consultant specializing in AI/ML and Data Solutions to design, implement, and optimize scalable, cloud-based analytics and machine learning solutions while partnering with stakeholders to drive innovation and business transformation.Key ResponsibilitiesPartner with stakeholders to understand business, data, and AI/ML requirements and translate them into scalable technical solutions.Design and implement secure, high-performing data pipelines, analytics platforms, and machine learning architectures.Develop, train, deploy, and optimize machine learning models that support business objectives and operational efficiency.Lead end-to-end project delivery from discovery, solution design, implementation, testing, deployment, and transition activities.Collaborate with engineering, architecture, product, and business teams to ensure successful adoption of cloud-based solutions.Implement MLOps best practices, including automation, CI/CD processes, monitoring, governance, and model lifecycle management.Ensure solutions meet security, reliability, scalability, performance, and cost-efficiency requirements.Create technical documentation, reusable frameworks, implementation standards, and best-practice guidelines.Provide technical leadership, coaching, and knowledge transfer to internal and external teams.Identify opportunities for continuous improvement and contribute insights that enhance products, services, and delivery methodologies.Required QualificationsBachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.5+ years of experience in data engineering, machine learning, artificial intelligence, cloud architecture, or technical consulting.Proven experience designing and deploying AI/ML solutions within cloud environments.Strong experience developing scalable data pipelines, analytics solutions, and machine learning workflows.Experience leading technical implementations from requirements gathering through deployment and support.Proficiency in Python and data processing technologies.Strong understanding of cloud-native services, distributed computing, and modern software development practices.Preferred QualificationsIndustry-recognized certifications in cloud architecture, machine learning, data analytics, or related technologies.Experience with MLOps platforms, containerization, orchestration, or automation technologies.Exposure to large-scale data processing, data lakes, real-time analytics, or enterprise AI initiatives.Experience delivering customer-facing consulting or solution implementation engagements.Knowledge of security, governance, compliance, and risk management within cloud environments.Knowledge, Skills & AbilitiesStrong expertise in machine learning model development and deployment.Advanced knowledge of cloud architecture, data engineering, and analytics platforms.Experience building ETL processes, data pipelines, and scalable data solutions.Proficiency with SQL, NoSQL, and large-scale data processing technologies.Understanding of API development, integration patterns, and microservices architectures.Strong knowledge of MLOps, CI/CD automation, monitoring, and operational excellence practices.Excellent problem-solving, analytical, and troubleshooting skills.Outstanding communication and stakeholder management capabilities.Ability to translate business requirements into technical architectures and actionable solutions.Strong mentoring, leadership, and cross-functional collaboration skills.Ability to thrive in a fast-paced, innovative, and customer-focused environment.