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

Infosys; Charlotte (NC); On-site; USD 85,000 - 125,000; Full time

Job summary

Infosys is seeking a Data Science Consultant 1 to participate in data extraction, transformation, and preparation, and to develop models using statistical or ML techniques. The role involves collaboration with technology teams to operationalize analytics tools and rigorous model testing and validation.

You will contribute to advanced analytics and ML/deep learning efforts, including LLMs, using SAS, R and Python, while ensuring data quality and effective communication of results to stakeholders.

Qualifications

• Experience with data extraction, transformation, and preparation.
• Knowledge of SAS, R or Python for analytics.
• Ability to translate business needs into analytics solutions.

Responsibilities

• Participate in data extraction, transformation, and preparation.
• Develop 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 analytics and ML/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.
• Document model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, communicating results effectively.
• Apply predefined quality measurement frameworks to individual project tasks.
• Deploy analytics tools in test and production environments.

Skills

Analytical skills

Model development

Data quality

Communication

Collaboration

Tools

SAS

R

Python

SQL

Job description

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 escalat 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.