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    GenAI Stack Engineer - Dallas, United States - LTIMindtree

    LTIMindtree
    LTIMindtree Dallas, United States

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    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 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit

    Job Title:

    GenAI Stack Engineer

    Work Location

    Dallas, TX

    Job Description:

    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.

    Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

    Benefits and Perks:

    • Medical Plan Covering Medical, Dental, Vision
    • Term and Long-Term Disability Coverage
    • Plan with Company match
    • Insurance
    • Time, Sick Leave, Paid Holidays
    • Paternity and Maternity Leave

    The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

    Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

    Safe return to office:

    In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

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