Description

You will design, develop, and deploy machine learning models and prompt-based solutions to solve business requirements.

Responsibilities

• Design, develop, and fine-tune machine learning models, focusing on LLMs and generative AI.
• Optimize prompt engineering strategies to improve model performance and relevance.
• Integrate and deploy models using AWS services including Bedrock, S3, EC2, and Lambda.
• Build and maintain scalable data pipelines and APIs to support ML workflows.
• Monitor model performance and iterate based on feedback and metrics.

Required Skills

• 3+ years of experience in machine learning, data science, or AI engineering.
• Hands-on experience with LLMs (OpenAI, Anthropic, Cohere) and prompt engineering.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Deep experience with AWS services, specifically Bedrock, S3, EC2, Lambda, and SageMaker.
• Strong programming skills in Python, R, or JavaScript.
• Solid understanding of quantitative, statistical, and ML/AI modeling methodologies.
• Familiarity with MLOps practices for model deployment and monitoring.

Preferred Skills

• Working experience with EKS deployed applications.
• Experience with Kubernetes and Docker.

Key Skills

Education

Bachelor's or Master's degrees