Generative Ai Developer - Silver Spring, United States - Ellumen

Ellumen
Ellumen
Verified Company
Silver Spring, United States

1 week ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description

Position Overview:

Responsibilities:


Model Training & Evaluation:
Develop and implement robust training pipelines for generative AI models, utilizing large-scale datasets and advanced optimization techniques. Evaluate model performance using relevant metrics and benchmarks.

Deployment & Integration:

Collaborate with cross-functional teams to deploy generative AI solutions into production environments, integrating them seamlessly with existing systems and workflows.


  • Create and manage Vector Store databases utilizing various embedding methods.

Performance Optimization:
Identify performance bottlenecks and optimize generative AI algorithms and systems for improved speed, scalability, and resource efficiency.

Collaboration & Knowledge Sharing:

Work closely with developers and other stakeholders to foster a collaborative environment for sharing knowledge, best practices, and insights in generative AI.


Qualifications:


  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
2.

3+ years of hands-on experience in implementation and development of Generative AI related solutions, with a strong track record of building and deploying production-grade solutions.


  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with expertise in developing and training deep generative models (GANs, VAEs, etc.).
  • Strong programming skills in Python and experience with software development best practices, version control systems (e.g., Git), and containerization technologies (e.g., Docker).
  • Experience with Natural Language Processing (NLP), including architecture and functioning of language models like BERT, GPT, or transformers; text preprocessing performing text normalization, tokenization, and lemmatization.
  • Familiarity with machine learning algorithms, neural networks, and deep learning frameworks, including understanding architectures like transformers.
  • Solid understanding of machine learning fundamentals, optimization techniques, and mathematical concepts underlying generative AI algorithms.
  • Excellent problem-solving abilities, analytical thinking, and attention to detail, with a passion for pushing the boundaries of what's possible with generative AI.
  • Effective communication skills and ability to collaborate with interdisciplinary teams in a fast-paced, dynamic environment.
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