IN_Manager_ AWS Bedrock Engineer_D&A_Advisory_Mumbai

Job Description & Summary: A career within….
 
Responsibilities:
     Key Responsibilities:
-    Design, develop, and deploy AI/ML applications using AWS Bedrock foundation models.
-    Integrate foundation models into business workflows, APIs, and applications.
-    Collaborate with data scientists, engineers, and product teams to operationalize AI/ML solutions.
-    Implement secure, scalable, and cost-optimized infrastructure using AWS services.
-    Build and maintain CI/CD pipelines for ML model deployment and versioning.
-    Monitor application performance and optimize for low latency and high availability.
-    Manage access, policies, and governance related to Bedrock-enabled applications.
-    Stay updated with AWS Bedrock features and industry best practices.
Required Skills and Experience:
-    Strong hands-on experience with AWS services including AWS Bedrock, Lambda, API Gateway, S3, IAM, CloudFormation, and CloudWatch.
-    Experience integrating foundation models and AI/ML APIs into production systems.
-    Proficiency in Python or other relevant programming languages used in AI/ML workflows.
-    Knowledge of machine learning concepts, model training, deployment, and inference.
-    Familiarity with containerization (Docker) and orchestration (ECS, EKS).
-    Understanding of security best practices in cloud-native AI applications.
-    Experience with infrastructure as code (IaC) tools like Terraform or AWS CloudFormation.
-    Strong problem-solving skills and collaborative mindset.
Mandatory skill sets:
     AWS Bedrock
Preferred skill sets:
     AWS Bedrock
Years of experience required:
     2-5
Education qualification:
     B. Tech/MBA/MCA / M. Tech