
Machine Learning Solutions Specialist
22 hours ago
We are seeking a highly skilled technical expert to lead our team in designing and implementing scalable, secure, and high-performance architectures on AWS for AI/ML applications.
Key Responsibilities- Design and implement multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
- Lead full lifecycle development of AI/ML/GenAI solutions—from proof-of-concept to production—ensuring reliability and performance.
- Define and implement best practices for MLOps, DataOps, and DevOps on AWS.
- Design conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
- Optimize large language model inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
- Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.
Why This Role Matters: As an Enterprise AI Architect, you will play a critical role in shaping the future of AI/ML at our organization. You will have the opportunity to work with cutting-edge technologies, design innovative solutions, and drive business growth through AI-driven initiatives.
Requirements:
- 10+ years of experience in AI/ML engineering and architecture.
- Proven track record of designing and implementing scalable, secure, and high-performance AI/ML architectures on AWS.
- Expertise in MLOps, DataOps, and DevOps.
- Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
- Excellent communication and collaboration skills.
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