Generative AI Developer at Rapideagle
Dallas, TX 75243, USA -
Full Time


Start Date

Immediate

Expiry Date

27 Jul, 25

Salary

0.0

Posted On

27 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Documentation, Azure, Keras, Machine Learning, Aws, Jenkins, Dental Insurance, Health Insurance, Python, Git, Deep Learning, Docker, Scikit Learn

Industry

Information Technology/IT

Description

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.

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.
    Job Type: Contract
    Pay: $175,000.00 - $195,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance

Schedule:

  • 8 hour shift

Work Location: In perso

Responsibilities
  • 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.
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