Genai Python Developer

Role- GenAI (python developer)
Location- Malvern, PA
Job Type- Contract

Key Responsibilities:

• Design, develop, and optimize generative Al models using Python and AWS services like Amazon Bedrock.

• Leverage Amazon Bedrock to access pre-trained models for tasks like text generation, image creation, summarization, and other generative tasks.

• Build and maintain machine learning pipelines for model training, evaluation, and deployment.

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate Al solutions into production systems.

• Develop and optimize model performance for scalability and efficiency in cloud environments.

• Stay up-to-date with the latest advancements in Al and machine learning, and apply them to current projects.

• Ensure model quality and robustness by implementing best practices for testing, monitoring, and updating models.

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Required Skills and Qualifications:

• Strong experience with Python programming, particularly for machine learning and Al applications.

• Proficiency in Amazon Bedrock and familiarity with AWS ecosystem (EC2, Lambda, S3, SageMaker).

• Hands-on experience with transformer models like GPT, BERT, T5, or similar for generative tasks.

• Experience building, deploying, and maintaining machine learning models in production.

• Knowledge of NLP, computer vision, or other generative Al tasks.

• Solid understanding of data preprocessing, model evaluation, and performance tuning.

• Familiarity with modern ML libraries and frameworks like TensorFlow, PyTorch, or Hugging

Face.

• Strong problem-solving skills and the ability to work in an agile development environment.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.