AWS Cognitive Engineer
Full-time
Gratitude Jobs Ahead HR Inc
JOB TITLE: AWS Cognitive Engineer
WORK SET UP: Onsite in Manila
WORK SHIFT: Shifting
• Serve as a Subject Matter Expert (SME) in AWS and AI technologies.
• Collaborate with cross-functional teams and lead key technical decisions.
• Design and implement AI-driven features using AWS AI/ML services (e.g., SageMaker, Bedrock, Rekognition).
• Develop and deploy applications using serverless architecture and microservices on AWS.
• Facilitate knowledge sharing and best practices for cloud and AI development.
• Monitor application and AI model performance; implement improvements for scalability and accuracy.
• Ensure compliance with security, governance, and responsible AI standards.
• Assist in project planning, timelines, and adherence to delivery milestones. Additional Information:
• Full-time position with opportunities for upskilling in AI and cloud technologies.
• Open for those applicants who are currently in Philippines and already have the right to live and work in this country are eligible for this role
• Must not have an active or recent application with Accenture Qualifications: • Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• Experience: Minimum 3 years of hands-on experience with AWS services.
• At least 1 year of experience in AI/ML projects or AWS AI services preferred.
• Certifications: AWS Certified Solutions Architect or AWS Machine Learning Specialty is a plus.
• Soft Skills: Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to lead technical discussions and mentor team members. Professional & Technical Skills:
• Expert proficiency in Amazon Web Services (AWS) including EC2, S3, Lambda, RDS, and IAM.
• Strong understanding of cloud computing concepts and architecture.
• Experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition).
• Familiarity with generative AI concepts and prompt engineering.
• Knowledge of MLOps practices for deploying and monitoring machine learning models.
• Experience with serverless architecture and containerization (Docker, Kubernetes).
• Proficiency in Python or other programming languages for AI integration.
• Knowledge of security best practices in cloud and AI environments.
Vacancy posted 10 days ago
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