Machine Learning Engineer
December 12
AWS
Azure
Cloud
Docker
Google Cloud Platform
Keras
Kubernetes
Microservices
PySpark
Python
PyTorch
Scikit-Learn
Tensorflow
Terraform
Description
• We are seeking an experienced Machine Learning Engineer to join our growing team. • Serve as ML SME on client projects as needed. • Design ML systems and research ML algorithms and tools. • Select appropriate datasets and run ML tests and experiments. • Perform statistical analysis and fine-tuning using test results. • Train and retrain systems when necessary. • Extend existing ML libraries and frameworks. • Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools.
Requirements
• 4+ years of ML experience at a start-up or larger enterprise – high priority • 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority • Client delivery experience – high priority • Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority • Bachelor’s degree in computer science, software engineering or related field • Experience with cloud environments (e.g., AWS, Azure, GCP) • Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn) • Experience developing, deploying, and managing/monitoring models • Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture • Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies • Advanced experience in NLP techniques and applications • Strong proficiency in Python programming • Familiarity with prompt engineering approaches and best practices • Knowledge of data structures, data modeling, and software architecture • Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues • Ability to work independently and as part of a collaborative team in a fast-paced environment
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