Supply Chain & Manufacturing

About the role

The role is part of a trusted AI growth team at a company that specializes in AI technologies such as RabbitMQ, Kubernetes, Apache Kafka, Amazon Web Services, Hadoop, and more. The team focuses on building and maintaining AI systems that are scalable and secure.

Responsibilities

• Develop and maintain AI models using state-of-the-art machine learning techniques.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to build and deploy AI solutions.
• Contribute to the design and implementation of AI infrastructure and tools.
• Perform quality assurance testing on AI systems to ensure they meet performance and security standards.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• At least 3 years of experience in machine learning and/or AI development.
• Strong programming skills in Python, Java, or other relevant languages.
• Experience with cloud platforms like AWS, Azure, and Google Cloud.
• Knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Keras.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Qualifications

• Experience with distributed systems and microservices architecture.
• Understanding of ethical considerations in AI and machine learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Good understanding of natural language processing (NLP).
• Experience with reinforcement learning algorithms.

Skills

• Proficiency in Python, Java, or C++.
• Experience with cloud platforms like AWS, Azure, and Google Cloud.
• Knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Keras.
• Experience with distributed systems and microservices architecture.
• Understanding of ethical considerations in AI and machine learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Good understanding of natural language processing (NLP).
• Experience with reinforcement learning algorithms.

Benefits

• Flexible working hours.
• Competitive salary range of USD 160,000 - 280,000 / year.
• Health insurance.
• Retirement plans.
• Professional development opportunities.
• Employee discounts on products and services.

Pay

USD 164,000 / year

Schedule

Remote