Technical Architect

16 hours ago


Shimoga, Karnataka, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Technical Architect - AI/ML

We are seeking an accomplished Technical Architect to lead our AI/ML initiatives. The ideal candidate will have expertise in cloud-based architectures, AI/ML technologies, and scalable production-level systems.

This role involves designing, implementing, and deploying end-to-end AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.

Key Responsibilities:

  • Design and implement secure, high-performance architectures on AWS for AI/ML applications.
  • Lead full lifecycle development of AI/ML solutions from PoC to production ensuring reliability and performance.
  • Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

AI/ML Expertise:

  • Design conversational AI, RAG, and Generative AI architectures using models like Claude, 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 developers, and cloud engineers.
  • Collaborate with business stakeholders, product teams, and clients to define requirements and deliver AI/ML solutions.
  • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Required Skills & Qualifications:

  • 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

Benefits:

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment

How to Apply:

  1. Review the job description and requirements
  2. Submit your resume and cover letter
  3. Participate in a phone or video interview


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