Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
LTIMindtree in Irving, TX is seeking an AIML Engineer to design, develop, and deploy intelligent systems that learn from data and automate tasks.
You will bridge data science research and production-grade software, building ML models with Python and frameworks, preparing data, and delivering APIs for real-time or batch inference.
An AIML Engineer designs develops and deploys intelligent systems and models that learn from data to automate tasks improve decisionmaking and create innovative solutions This role bridges the gap between data science research and productionlevel software engineering
Design develop and train machine learning and deep learning models using Python and frameworks like TensorFlow Keras or PyTorch
Clean transform and structure raw data to create highquality datasets for training
Integrate AI models into existing software applications and create APIs for realtime or batch inference
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
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.
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.