Machine learning architect

14 hours ago

Pushkar, 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/Gen AI-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 Sage Maker, Bedrock, Lambda, API Gateway, Dynamo DB, ECS, S3, Open Search, and Step Functions. Lead full lifecycle development of AI/ML/Gen AI solutions—from Po C to production—ensuring reliability and performance. Define and implement best practices for MLOps, Data Ops, and Dev Ops 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 Sage Maker 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/Gen AI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/Gen AI solutions tailored to their business needs. Define AI/ML/Gen AI 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 & Dev Ops AWS Services: Bedrock, Sage Maker, Lambda, API Gateway, Dynamo DB, S3, ECS, Fargate, Open Search, RDS MLOps: Sage Maker Pipelines, CI/CD (Code Pipeline, Git Hub Actions, Terraform, CDK) Security: IAM, VPC, Cloud Trail, Guard Duty, KMS, Cognito AI/ML & Gen AI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), Open AI, Llama ML Frameworks: Tensor Flow, Py Torch, Lang Chain, Hugging Face Vector DBs: Open Search, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & Graph QL Event-Driven Systems (SNS, SQS, Event Bridge, Step Functions) Performance Optimization & Auto Scali

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