Machine Learning Architect

2 days ago

Vijayawada, India goML Full time

Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture - Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. - Architect 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 PoC to production—ensuring reliability and performance. - Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise - Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. - Optimize LLM 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. Cloud & Infrastructure Management - Architect event-driven, serverless, and microservices architectures for AI/ML applications. - Ensure high availability, disaster recovery, and cost optimization in cloud deployments. - Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement - Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. - Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. - Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy - Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. - Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. - Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps - AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS - MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) - Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI - LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama - ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face - Vector DBs: OpenSearch, Pinecone, FAISS - RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability - Serverless & Microservices Architecture - API Design & GraphQL - Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) - Performance Optimization & Auto Scali

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