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    Generative AI Engineer - Spring, United States - LTIMindtree

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    Description

    A little about us...

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.

    We provide our employees with a learning environment that promotes growth and creativity.

    To learn more please visit us at @

    Role: Data AI Engineer / Generative AI Engineer

    Onsite: Spring, TX

    Job description:

    Data Science Engineer:

    Required Skills

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

    How will you grow?

    Role-based Training programs

    Continuing Education Programs (CEP) to enhance your knowledge, skills, and attitude as a professional

    We encourage you to acquire various beneficial international certifications, with costs s reimbursed

    Our role-based workshop helps us groom future leaders for LTI

    What's in it for you?

    Excellent benefits plan: medical, dental, vision, life, FSA, & PTO

    Roll over vacation days

    Commuter benefits

    Excellent growth and advancement opportunities

    Certification reimbursement

    Rewards and recognition programs

    Innovative and collaborative company culture

    We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.



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