On-Prem LLM Platform Engineer (OpenShift AI / GPU)

Infosys Limited; Charlotte (NC); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Long-term disability

Health reimbursement accounts

Insurance offerings

401(k) contributions

Job summary

Infosys Limited in Charlotte, North Carolina is seeking a skilled professional to join the Data and Analytics (DNA) unit. The role focuses on leveraging advanced AI and analytics to optimize business processes and enhance decision-making.

Key responsibilities include model development, testing, and quality assurance in a team-centered environment. Suitable candidates will have experience with OpenShift, Kubernetes, and model optimization techniques.

Comprehensive benefits include health reimbursement accounts and a 401(k) plan.

Qualifications

• Experience in data extraction, transformation, and model development.
• Understanding of statistical and machine learning techniques for model validation.
• Ability to produce thorough documentation of analytics tools and model performance.

Responsibilities

• Participate in data extraction and preparation for analysis.
• Develop machine learning models and integrate them into analytics tools.
• Test and validate models to ensure quality and performance.

Skills

OpenShift experience

Kubernetes operations

Model optimization techniques

GPU orchestration and scheduling

Experience with NVIDIA H200 GPUs

Education

Bachelor's degree or foreign equivalent

Tools

OpenShift AI

vLLM

Triton

TensorRT-LLM

SGLang

Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Responsibilities

• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best‑performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalated risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.

Key Contributions

• Strong analytical and problem‑solving mindset with hands‑on model development skills.
• Ability to translate business needs into actionable analytics solutions.
• Focus on data quality, validation and performance optimization.
• Effective collaboration with business and technology stakeholders.
• Commitment to continuous learning, knowledge sharing, fostering team development.

Required Skills

• Strong hands‑on experience with OpenShift (OCP) and OpenShift AI
• Deep understanding of Kubernetes cluster operations and model serving
• Experience with vLLM, Triton, TensorRT‑LLM, or SGLang
• Expertise in inference optimization techniques including:
  • Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning
• Experience with GPU orchestration and scheduling
• Working knowledge of CUDA, NCCL, and MIG concepts
• Exposure to NVIDIA H200 GPUs (highly preferred)

Preferred Skills

• Exposure to NVIDIA H200 GPUs (highly preferred)
• Deploy and run LLMs on‑prem using:
  • OpenShift (OCP), OpenShift AI, Kubernetes ML serving patterns
  • Model serving stacks: vLLM, Triton, TensorRT‑LLM, SGLang
• Unfold an LLM end‑to‑end:
  • Package model artifacts, containerize, configure runtime, serve endpoints
  • Implement authn/authz, secrets, networking, and endpoint routing patterns
• GPU‑first platform engineering:
  • GPU orchestration, scheduling, resource quotas
  • Performance tuning for throughput/latency, memory utilization
  • Awareness of CUDA/NCCL, tensor parallelism, MIG concepts

Additional Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits

• Long‑term/Short‑term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.