Python Gen AIML Developer - Remote - Contract 12 Months

This is a remote position.

Write efficient reusable and modular Python code for the implementation of GenAI algorithms and models.

Deploy LLM projects to production and define successmeasuring criteria/KPIs.

Lead the design and development of artificial intelligence solutions specifically leveraging Python for GenAI applications.

Implement testing strategies to ensure the reliability and accuracy of GenAI models troubleshoot issues and optimize performance.

Create and maintain comprehensive documentation for GenAI solutions including design specifications coding standards and deployment.

Perform LLM finetuning and RAG (RetrievalAugmented Generation) analysis to optimize model performance.

Collaborate with crossfunctional teams to integrate LLMs (Machine Learning Models) with Line of Business (LoB) applications.

Requirements

• The ideal candidate should have at least 5 years of professional experience as a Machine Learning Developer and at least 12 years of expertise in implementing Gen AI technologies to derive meaningful insights from large datasets.
  
• Strong proficiency in Python and relevant frameworks and libraries such as TensorFlow PyTorch Pandas Numpy and scikitlearn.
  
• Proficiency in machine learning deep learning and data mining techniques.
  
• Strong of experience in Generative AI/LLMs and should be adept at delivering and productionizing.
  
• The candidate should demonstrate skills and experience with the latest LLM tools and techniques such as LangChain Promptflow vector DB prompt engineering etc.
  
• Should possess strong expertise in GenAI pipelines various language models (LLM) like GPT4 BERT or LLAMA and retrievalaugmented generation (RAG) systems.
  
• Strong proficiency in Python and relevant frameworks and libraries such as TensorFlow PyTorch Pandas Numpy and scikitlearn.
  
• Experience in software engineering building REST APIs/GraphQL and/or interfaces using frameworks like Flask or Django.
  
• Experience with building crossapplication integrations using RESTful APIs OpenAPI OAuth & OpenID Connect
  
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Education:

Bachelors or Masters degree in Computer Science Data Science or a related field.

The ideal candidate should have at least 5 years of professional experience as a Machine Learning Developer and at least 1-2 years of expertise in implementing Gen AI technologies to derive meaningful insights from large datasets. Strong proficiency in Python and relevant frameworks and libraries such as TensorFlow, PyTorch, Pandas, Numpy, and scikit-learn. Proficiency in machine learning, deep learning, and data mining techniques. Strong of experience in Generative AI/LLMs and should be adept at delivering and productionizing. The candidate should demonstrate skills and experience with the latest LLM tools and techniques such as LangChain, Promptflow, vector DB, prompt engineering, etc. Should possess strong expertise in GenAI pipelines, various language models (LLM) like GPT-4, BERT, or LLAMA, and retrieval-augmented generation (RAG) systems. Strong proficiency in Python and relevant frameworks and libraries such as TensorFlow, PyTorch, Pandas, Numpy, and scikit-learn. Experience in software engineering, building REST APIs/GraphQL and/or interfaces using frameworks like Flask or Django. Experience with building cross-application integrations using RESTful APIs, OpenAPI, OAuth & OpenID Connect Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.