ML/ GEN AI - Python Developer

Job Title - MLOPs Developer Location - Remote Duration - 12+ Months
Experience in developing code in Python and TypeScript is needed, with an understanding of Gen AI

Job Summary:

We are seeking an experienced AI/ML Developer to join our client team. The ideal candidate will create, code, deploy, optimize, and manage machine learning models and AI solutions hosted on the Azure platform. This includes integrating OpenAI models and interfaces as well as handling cutting-edge AI frameworks such as Llama, Mistral, and Cohere. The role requires strong expertise in AI/ML and working knowledge of Azure DevOps and AI/ML lifecycle management.

Key Responsibilities:

1. Design, develop, and maintain scalable and secure AI/ML applications in Azure cloud infrastructure.
2. Deploy and manage machine learning models using Azure Machine Learning and other Azure AI tools.
3. Implement and manage OpenAI, familiarity with Llama, Mistral, and Cohere or similar models and interfaces. Optimize models for performance, scalability, and cost-effectiveness.
4. Automate deployment pipelines using Azure DevOps or similar CI/CD tools. Establish and maintain ML pipelines, ensuring model reproducibility, monitoring, and version control
5. Collaborate on APIs and interfaces for seamless interaction with OpenAI and other frameworks. Monitor AI models in production for performance, drift, and anomalies.
6. Continuously improve AI/ML systems by integrating the latest research and frameworks. Create detailed documentation for workflows, pipelines, and system architecture.
7. Provide regular updates to stakeholders on the performance and progress of AI/ML initiatives.
8. Ability to quickly adapt and learn new languages or frameworks as needed.

Required Skills and Qualifications:

1. Good programming skills in Python and TypeScript
2. Hands-on experience with AI/ML tools, technologies, and libraries such as MLflow, Kubeflow, or Weights & Biases, and familiarity with ML frameworks like PyTorch, Langchain, and Scikit-learn
3. Strong experience with Azure AI/ML services
4. Experience in containerization using tools like Docker.
5. Familiarity with data preprocessing, model training, hyperparameter tuning, and inference optimization.
6. Strong problem-solving skills and attention to detail.
7. Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with large language models (LLMs) and fine-tuning AI models.
• Familiarity with cutting-edge AI research and the latest advancements in frameworks like Hugging Face and LangChain.
• Certification in Azure AI Engineer Associate or similar.
• Hands-on experience with TypeScript
• Knowledge of distributed computing frameworks such as Spark or Ray is a plus
• A master s degree is a plus.