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Company

Original Job Post

LTIMindtree · 2 days ago

Senior Specialist - Cloud Engineering

Dallas, TX

Full-time

Onsite

Senior Level

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Responsibilities

GenAI Stack Proficiency: Deep understanding of the GenAI Stack including its architecture components and capabilities. Familiarity with the entire AI development lifecycle from data preparation and model training to deployment and monitoring.

Bedrock Expertise: Mastery of Bedrock platform for MLOps (Machine Learning Operations). Proficiency in leveraging Bedrock's APIs, tools, and frameworks to streamline AI model development, deployment, and management processes.

Machine Learning and AI Algorithms: Strong grasp of machine learning algorithms, deep learning techniques, and AI model development methodologies. Ability to select and implement appropriate algorithms based on the problem domain and data characteristics.

Programming Skills: Proficiency in programming languages commonly used in AI development such as Python and R. Ability to write clean, efficient, and maintainable code for implementing AI models, integrating with Bedrock APIs, and building custom applications.

Data Engineering: Knowledge of data engineering concepts and tools for data preprocessing, feature engineering, and pipeline orchestration. Experience in working with large-scale datasets and data processing frameworks like Apache Spark.

Cloud Computing Platforms: Expertise in cloud computing platforms, particularly with AWS. Ability to design, deploy, and manage AI solutions in cloud environments using platform services like Amazon SageMaker, Amazon SageMaker Ground Truth, Amazon Comprehend, AWS Glue, etc.

Containerization and Orchestration: Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes. Ability to containerize AI applications, manage their lifecycle, and ensure scalability and reliability using container orchestration.

DevOps and MLOps Practices: Understanding of DevOps principles and MLOps practices for automating AI model development and deployment pipelines. Experience in implementing CI/CD workflows, version control, and infrastructure as code (IaC) using tools like Azure DevOps and GitHub Actions.

API Design and Integration: Knowledge of RESTful API design principles and experience in building and consuming APIs for integrating AI models with other systems and services. Ability to design scalable and efficient API interfaces for exposing AI functionalities in Bedrock.

Problem Solving and Analytical Skills: Strong problem-solving abilities, critical thinking, and analytical skills to understand complex business requirements, identify AI solutions, and overcome technical challenges effectively.

Communication and Collaboration: Excellent communication and collaboration skills to interact with stakeholders, understand their requirements, and translate them into technical solutions. Ability to work effectively in multidisciplinary teams and communicate complex technical concepts clearly and concisely.

Continuous Learning and Adaptability: Willingness to stay updated with the latest advancements in AI, machine learning, and MLOps technologies. Ability to quickly adapt to new tools, frameworks, and methodologies to continuously improve AI solutions and deliver business value effectively.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

GenAI Stack ProficiencyBedrock ExpertiseMachine LearningAI AlgorithmsProgramming SkillsData EngineeringCloud Computing PlatformsContainerizationOrchestrationDevOpsMLOps PracticesAPI DesignIntegrationProblem SolvingAnalytical SkillsCommunicationCollaborationContinuous LearningAdaptability

Required

GenAI Stack Proficiency

Deep understanding of the GenAI Stack including its architecture components and capabilities

Familiarity with the entire AI development lifecycle from data preparation and model training to deployment and monitoring

Bedrock Expertise

Mastery of Bedrock platform for MLOps Machine Learning Operations

Proficiency in leveraging Bedrock's APIs tools and frameworks to streamline AI model development deployment and management processes

Machine Learning and AI Algorithms

Strong grasp of machine learning algorithms, deep learning techniques, and AI model development methodologies

Ability to select and implement appropriate algorithms based on the problem domain and data characteristics

Programming Skills

Proficiency in programming languages commonly used in AI development such as Python and R

Ability to write clean, efficient, and maintainable code for implementing AI models, integrating with Bedrock APIs, and building custom applications

Data Engineering

Knowledge of data engineering concepts and tools for data preprocessing, feature engineering, and pipeline orchestration

Experience in working with large scale datasets and data processing frameworks like Apache Spark

Cloud Computing Platforms

Expertise in cloud computing platforms, particularly with AWS

Ability to design, deploy, and manage AI solutions in cloud environments using platform services like Amazon SageMaker, Amazon SageMaker Ground Truth, Amazon Comprehend, AWS Glue, etc.

Containerization and Orchestration

Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes

Ability to containerize AI applications, manage their lifecycle, and ensure scalability and reliability using container orchestration

DevOps and MLOps Practices

Understanding of DevOps principles and MLOps practices for automating AI model development and deployment pipelines

Experience in implementing CI/CD workflows, version control, and infrastructure as code (IaC) using tools like Azure DevOps and GitHub Actions

API Design and Integration

Knowledge of RESTful API design principles and experience in building and consuming APIs for integrating AI models with other systems and services

Ability to design scalable and efficient API interfaces for exposing AI functionalities in Bedrock

Problem Solving and Analytical Skills

Strong problem-solving abilities, critical thinking, and analytical skills to understand complex business requirements, identify AI solutions, and overcome technical challenges effectively

Communication and Collaboration

Excellent communication and collaboration skills to interact with stakeholders, understand their requirements, and translate them into technical solutions

Ability to work effectively in multidisciplinary teams and communicate complex technical concepts clearly and concisely

Continuous Learning and Adaptability

Willingness to stay updated with the latest advancements in AI, machine learning, and MLOps technologies

Ability to quickly adapt to new tools, frameworks, and methodologies to continuously improve AI solutions and deliver business value effectively

Company

LTIMindtree

Glassdoor

3.6

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors.

Founded in 1996

Mumbai, Maharashtra, IND

10,001+ employees

https://www.ltimindtree.com

H1B Sponsorship

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