Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics……
Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics……
Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics……
EDUCATION: Bachelor’s degree in computer science, engineering, IT, or related technical field. May vary based on technical training, certification(s), or degree……
Support product validation, field testing, and deployment activities as required. If the answer is yes, we invite you to consider joining us in boldly……
Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics……
A minimum of five years of progressive experience in manufacturing technology, process engineering, or production optimization within an industrial or……
A Bachelor’s degree in the physical sciences, mathematics, engineering, computer science, or a related field. Success in this role requires technical curiosity,……
Relevant experience must be in the software development process (i.e., requirements analysis, software design, implementation, testing, integration, deployment/……
Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics.…
Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems. 10 + years of related experience.…
Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems. MEANINGFUL WORK AND PERSONAL IMPACT.…
Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm……
You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team……
Summary: *The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our……
You will develop technical solutions, resolve complex issues, and provide Tier 3 engineering leadership while coordinating with stakeholders and guiding……
Familiarity with component-based UI development, state management, and reusable front-end design patterns. Lead the technical design and implementation of AI-……
Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics.…
Container & PaaS Orchestration: Lead the design, implementation, and operation of Azure Container Apps and Kubernetes (AKS) environments, ensuring scalable,……
Communicate technical concepts clearly to both technical and non-technical stakeholders. Integrate AI-driven tools such as recommendation engines, natural……
Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and……
Resolve complex technical challenges through in-depth analysis of business and system processes, adhering to industry best practices and architectural……
Ability to analyze complex technical issues, develop effective solutions, and communicate recommendations to technical and non-technical stakeholders.…
Mentor engineers, lead design and code reviews, develop communities of practice, and systematically raise AI engineering capability across delivery teams.…
Familiarity with component-based UI development, state management, and reusable front-end design patterns. Lead the technical design and implementation of AI-……
PhD in Computer Science, Mathematics, Electrical Engineering, Cryptography, or a related field, with 0-2 years of relevant industry experience.…
PhD in Computer Science, Mathematics, Electrical Engineering, Cryptography, or a related field, with 0-2 years of relevant industry experience.…
30d+
Infosys
3.6
On-Prem LLM Platform Engineer (OpenShift AI / GPU)
On-Prem LLM Platform Engineer (OpenShift AI / GPU)
Charlotte, NC
$45K - $80K (Glassdoor est.)
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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.
The minimum salary is $45K and the max salary is $80K.
$45K – $80K/yr (Glassdoor est.)
$60K
/yr Median
Charlotte, NC
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