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

Job details


Job Role


Data Science Consultant 1

Career Role


Analyst - Data Science

Work Location


Charlotte, NC

State / Region / Province


North Carolina

Country


USA

Domain


Delivery

Interest Group


Infosys Limited

Company


ITL USA

Requisition ID


148550BR

Technical Skills 1


Technology|Generative AI|Generative AI for Data Analytics

Technical Skills 2


Technology|Analytics - Packages|Python - Big Data

Technical Skills 3


Technology|Agentic AI|Agent Engineering

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.



In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below:
• 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 escalate 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.


Your contribution to the team:

• 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 Skill and Experience


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 Skill and Experience


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


Additional Required Qualifications


• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of 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

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• 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
• Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.



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.