Robotics technology LLC
Duncanville, TX
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Job Description :

Roles & Responsibilities:

  • 8+ years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions.
  • Proven experience in AI Application & Infrastructure Optimization in terms of Capacity, Performance and Cost
  • 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 Lifecycle Management - Experience in robust AI pipelines for model versioning, testing, validation, and deployment, ensuring seamless integration into production environments with CI/CD best practices.
  • AI Full stack : Experience in in any full stack /development experience in 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.
  • Experience in EDA, data engineering, creating data pipelines and processing huge volume of data.
  • Understanding of cloud platforms (OCI, Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Prior experience in a customer-facing or product-oriented role.
  • Master’s in computer science, Machine Learning , Data Science, Statistics, or a related field.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

             

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