Junior Machine Learning Engineer at ALS
Summary
Build and deploy AI/ML applications using Large Language Models and deep learning frameworks like TensorFlow in a hybrid environment.
Embark on an exciting journey as a Junior Machine Learning Engineer with ALS, where innovation meets science. Contribute to AI and machine learning solutions in a collaborative, hybrid environment.
In this role, you'll join the Global AI Team at ALS, focusing on the design, development, and deployment of machine learning applications. Your technical curiosity will shine as you work closely with data scientists and product teams, employing modern techniques like Large Language Models and deep learning to address real-world challenges. This position is ideal for someone passionate about AI development.
Key Responsibilities: • Support the design and development of AI solutions • Assist in building applications using Large Language Models • Collaborate with teams on machine learning model deployment • Participate in improving model performance and scalability • Engage in code reviews and quality assurance tasks
Requirements: • Degree in Computer Science, Data Science, or similar • Experience with GCP and AI/ML services • Knowledge of deep learning frameworks like TensorFlow • Familiarity with software engineering practices • Programming experience in Python
Leverage your analytical skills and collaborate on cutting-edge AI models within ALS's innovative team.
In this role, you'll join the Global AI Team at ALS, focusing on the design, development, and deployment of machine learning applications. Your technical curiosity will shine as you work closely with data scientists and product teams, employing modern techniques like Large Language Models and deep learning to address real-world challenges. This position is ideal for someone passionate about AI development.
Key Responsibilities: • Support the design and development of AI solutions • Assist in building applications using Large Language Models • Collaborate with teams on machine learning model deployment • Participate in improving model performance and scalability • Engage in code reviews and quality assurance tasks
Requirements: • Degree in Computer Science, Data Science, or similar • Experience with GCP and AI/ML services • Knowledge of deep learning frameworks like TensorFlow • Familiarity with software engineering practices • Programming experience in Python
Leverage your analytical skills and collaborate on cutting-edge AI models within ALS's innovative team.