Machine Learning Engineer

• Design, develop, and integrate machine learning models into products.
• Collaborate with teams to translate requirements into actionable ML models.
• Enhance and optimize ML pipelines for efficiency and reliability.
• Apply best practices for ML development and deployment.
• Utilize generative AI technologies to create innovative product features.
  

Required Qualifications

• A minimum of 3 years of experience working with ML models in production environments.
• Strong knowledge of machine learning algorithms, frameworks, and concepts.
• Proficiency with one or more deep learning frameworks such as PyTorch or TensorFlow.
• Expertise in Python and associated libraries (e.g., scikit-learn, pandas, numpy).
• Experience in integrating ML-based features into end-user products.
• Knowledge in ML operations including model serving, monitoring, and lifecycle management.
• Insights into generative AI, including large language models and other architectures.
  

Preferred Qualifications

• Experience in prompt engineering and fine-tuning large language models.
• Familiarity with vector databases and retrieval-augmented generation techniques.
• Hands-on experience with cloud computing platforms such as AWS, GCP, or Azure for ML operations.
• Understanding of container-based deployment technologies such as Kubernetes and Docker.