Overview
Type : Contract/Full Time
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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.
- Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area.
- At least 11 years of experience in Information Technology
- At least 6 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data.
- At least 5 years of experience in Machine learning engineering /MLE, data science and data engineering, with a proven track record of delivering impactful solutions
- Architectural Optimization - Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms
- Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments (OCI)
- Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization
- AI Full stack: Experience in any full stack / development experience in Python or Java, or .Net or React, Node.js, Flask/Django, REST APIs
- Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- 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 at this time
Preferred Qualifications
- Good understanding of Agile software development frameworks
- Strong communication and Analytical skills
- Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
- Experience and desire to work in a global delivery environment
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Staffing and Recruiting and Information Services
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