AI Engineer

Role Description

7 years in server architecture, data center infrastructure, or high-performance computing. Strong experience with AIML infrastructure, GPU clusters, AI frameworks, distributed training. Deep knowledge of server hardware architecture, CPU, GPU, memory hierarchy, storage, networking. Handson experience with data center lab setups and hardware validation. Familiarity with AI frameworks such as Azure AI, Azure OpenAI Service, or similar.

Skill Set

• Machine Learning AI Engineering
• General expertise in the field
• Azure Data Explorer (ADX)
• Specific platform knowledge: Kusto Query Language (KQL)
• Specific query language proficiency for data analysis
• Largescale Data Analysis
• Experience in analyzing logs and telemetry data
• Machine Learning Pipeline Implementation
• Model Expertise: Experience with both traditional ML models and Generative AI (Gen AI) approaches, specifically in anomaly detection usecase
• Insight Generation: Focus on generating predictions and actionable insights for distributed nodes or systems

Other Details

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").

Benefits/Perks

• Comprehensive Medical Plan
• Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

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.