Senior Specialist - Data Engineering

Architect and maintain AIML infrastructure including GPU clusters and distributed training environments

Design implement and optimize machine learning pipelines for scalable AI solutions

Conduct hardware validation and manage data center lab setups to ensure robust infrastructure performance

Analyze largescale telemetry and log data using Kusto Query Language and Azure Data Explorer

Develop and apply ML models and generative AI techniques for anomaly detection and system insights

Collaborate with crossfunctional teams to integrate AI frameworks such as Azure AI and OpenAI services

Generate actionable insights and predictions to improve distributed system operations and performance

Stay updated with emerging trends in server architecture AIML infrastructure and data center technologies

Seeking an experienced professional with 8 years in server architecture and AIML infrastructure to design implement and validate highperformance computing environments and AI frameworks, 8 years of experience in server architecture data center infrastructure or highperformance computing Strong expertise in AIML infrastructure including GPU clusters AI frameworks and distributed training Deep knowledge of server hardware architecture encompassing CPU GPU memory hierarchy storage and networking Handson experience with data center lab setups and hardware validation Familiarity with AI frameworks such as Azure AI Azure OpenAI Service or similar platforms Proficient in Machine Learning and AI Engineering with general expertise in the field Specific platform knowledge of Azure Data Explorer ADX Skilled in Kusto Query Language KQL for data analysis Experience in largescale data analysis involving logs and telemetry data Ability to design and implement machine learning pipelines Expertise in traditional ML models and Generative AI approaches particularly for anomaly detection use cases Focused on generating predictions and actionable insights for distributed nodes or systems

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 and 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

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., Compensation range: $90,000.00 to $110,000.00 per year

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert