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Internship Talend Jobs in Georgia (NOW HIRING)

Use Talend for data integration and transformation tasks. * Write efficient SQL queries for ... Experience mentoring junior colleagues and interns.

Internship Talend information

What is the difference between Internship Talend vs Data Integration Intern?

AspectInternship TalendData Integration Intern
Required SkillsBasic knowledge of Talend, data integration conceptsGeneral data management, scripting, and integration skills
CertificationsTalend certifications preferred but not mandatoryNot typically required
Work EnvironmentHands-on with Talend tools, data pipelinesSupporting data workflows, testing
Industry UsageUsed in data warehousing, ETL projectsApplied in data management roles across industries

Internship Talend focuses on developing skills specific to Talend data integration tools, often requiring some familiarity with ETL processes. Data Integration Intern roles are broader, covering general data workflows and scripting. Both roles serve as entry points into data roles, but Internship Talend emphasizes Talend platform expertise, making it ideal for those targeting Talend-specific careers.

Can you get a job through an internship?

An internship in Talend can provide valuable work experience and industry connections, which may improve chances of securing a full-time job in data integration or related fields. Many employers consider internships as a pathway to full-time employment, especially when interns demonstrate strong skills and a good work ethic. However, securing a job depends on individual performance, available positions, and the company's hiring needs.

What skills are needed for internship Talend?

An internship in Talend typically requires knowledge of data integration, ETL processes, and familiarity with Talend Open Studio software. Basic understanding of SQL, data warehousing concepts, and scripting languages like Java or Python is also beneficial. Strong problem-solving skills and the ability to work with large datasets are important for success in this role.

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Re-posted 2 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.