AWS Machine Learning Expert

2 months ago

delhi, India Tata Consultancy Services Full time

Job Title: AWS Machine Learning Expert

Experience Level: 7+ years

Location: New Delhi

Job Description:

We are seeking an experienced AWS Machine Learning Expert with a strong background in AI and ML technologies, specifically tailored for the public service sector. The ideal candidate will have over 7 years of experience working with cloud based machine learning solutions, focusing on data driven decision making to improve public services. This role involves the design, implementation, and management of AI/ML models using AWS services to enhance efficiency, scalability, and insights across various government initiatives.

Key Responsibilities:

  • Machine Learning Model Development: Build, train, and deploy machine learning models using AWS SageMaker for predictive analytics, public service improvements, and largescale data processing.
  • Data Pipelines and ETL: Develop and optimize data pipelines using AWS Glue, AWS Lambda, and AWS Data Pipeline to preprocess, clean, and transform large datasets for machine learning.
  • AI Services Integration: Leverage AWS AI services such as AWS Rekognition (for image/video analysis), Amazon Comprehend (for natural language processing), and Amazon Polly (for texttospeech) in various public service applications.
  • Realtime Data Processing: Implement real time data streaming, analysis, and decision making systems using AWS Kinesis, AWS IoT, and Amazon Managed Streaming for Apache Kafka (MSK) for applications like traffic management or public safety monitoring.
  • Model Monitoring and Optimization: Use AWS CloudWatch and SageMaker Model Monitor to ensure the reliability and accuracy of deployed machine learning models, and continuously improve performance through iterative model retraining and tuning.
  • Security and Compliance: Ensure data security and compliance with public sector standards using AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and Amazon GuardDuty for the protection of sensitive information.
  • Scalable Solutions: Design scalable machine learning architectures using AWS Elastic Kubernetes Service (EKS) and AWS Fargate, ensuring high availability and fault tolerance for critical public services.
  • Collaboration with Stakeholders: Work closely with public sector stakeholders to understand their requirements, translate them into technical solutions, and provide actionable insights through data analysis and machine learning.
  • Cost Management: Manage and optimize AWS resource usage to ensure cost efficient operations in largescale public sector projects.

Required Skills and Expertise:

  • AWS Machine Learning Services:
  • Amazon SageMaker
  • AWS Rekognition
  • Amazon Comprehend
  • Amazon Lex/Connect (for conversational AI)
  • AWS Personalize
  • Amazon Forecast
  • AWS Deep Learning AMIs
  • Data Engineering:
  • AWS Glue
  • AWS Data Pipeline
  • Amazon Redshift
  • Amazon RDS / Aurora
  • Big Data Tools:
  • AWS EMR
  • AWS Kinesis
  • Amazon Athena
  • Amazon QuickSight
  • Security and Compliance:
  • AWS IAM
  • AWS KMS
  • Amazon GuardDuty
  • AWS Security Hub

Programming Languages: Python, R, Java, or Scala

DevOps and Automation: Familiarity with DevOps practices and tools, including AWS CloudFormation, AWS Code Pipeline, and CI/CD pipelines.

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