Design, develop, and deploy AI/ML-powered applications using AWS services (e.g., SageMaker, Bedrock, Lambda, Comprehend, Rekognition, Lex, etc.)
Collaborate with stakeholders to identify AI use cases and transform them into scalable technical solutions.
Build and manage workflows that support AI model training and deployment.
Integrate AI services with existing applications and systems across the organization.
Prototype and evaluate AI models, leveraging pre-built models or training custom ones as needed.
Ensure applications performance, reliability, security, and compliance standards.
Stay updated with trends in AI and cloud-native application development.
Mentor internal teams and provide knowledge transfer for AI tools and practices.
Qualifications- Required:
Bachelors or masters degree in Computer Science or a related field.
3+ years of experience developing and deploying AI/ML applications.
Strong hands-on experience with AWS AI/ML services such as SageMaker, Bedrock, Comprehend, and Rekognition.
Proficiency in Python, JavaScript, or another modern programming language used in AI/ML development.
Solid understanding of cloud architecture and serverless application design.
Experience with REST APIs, microservices, and event-driven systems.
Qualifications- Preferred:
Knowledge of security, privacy, and governance best practices for AI applications.
AWS Certified Machine Learning Specialty or Solutions Architect certification
Familiarity with SaaS platforms and integrating with business systems (CRM, ERP, etc.).
Soft Skills:
Strategic mindset with a passion for AI and emerging technologies.
Strong analytical and problem-solving skills.
Excellent communication and cross-functional collaboration abilities.
Comfortable working in an agile, fast-paced environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: ConsultingRole Category: IT ConsultingRole: IT Consulting - OtherEmployement Type: Full time