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Internship Optimization Engineer Jobs in Georgia

Create and maintain databases, ensuring optimal performance and security. * Develop automation ... Experience mentoring junior colleagues and interns.

The Process Engineer will participate in optimizing productivity and sustainability of EV battery ... Internship or co-op experience in manufacturing or industrial environment will be considered in ...

... optimization of existing manufacturing equipment. The engineer in this role will also provide ... S.) with relevant Internship or co-op experience * Project management experience is preferred. PMP ...

Internship Job Type: Fixed-Term Nutrien is a leading provider of crop inputs and services, and our ... Urea stormwater segregation and water management optimization * LTS Catalyst replacement support

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Internship Optimization Engineer information

What is the difference between Internship Optimization Engineer vs Data Analyst Intern?

AspectInternship Optimization EngineerData Analyst Intern
Required CredentialsRelevant degree in engineering, data science, or related fields; some internships may require basic programming skillsDegree in statistics, mathematics, computer science, or related fields; basic data analysis skills needed
Work EnvironmentTech companies, e-commerce, or logistics firms focusing on process and system optimizationBusiness, finance, or tech companies analyzing data to support decision-making
Employer & Industry UsageUsed in industries emphasizing operational efficiency and system improvementsCommon in industries relying on data insights for strategic decisions

While both roles involve working with data and technical skills, the Internship Optimization Engineer focuses on improving operational processes and system performance, often requiring engineering or technical backgrounds. In contrast, Data Analyst Interns primarily analyze data sets to generate insights. Both roles are valuable entry points in tech and data-driven industries, but they serve different core functions.

What are the most commonly searched types of Optimization Engineer jobs in Georgia? The most popular types of Optimization Engineer jobs in Georgia are:
What are popular job titles related to Internship Optimization Engineer jobs in Georgia? For Internship Optimization Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Internship Optimization Engineer jobs? Cities in Georgia with the most Internship Optimization Engineer job openings:
Gen AI Engineer

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Posted 28 days ago


Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.