Remote Senior Machine Learning Ops Engineer

Description:

• Atomi is seeking a Senior Machine Learning Ops Engineer to join their AI/ML team, focusing on improving student outcomes and empowering teachers with AI features.
• The role involves leading efforts to optimize the AI marking system, expanding its capabilities for complex assessments while ensuring performance.
• Responsibilities include designing, developing, and deploying new machine learning/NLP solutions for personalized feedback.
• The engineer will maintain and improve ML infrastructure and platforms for scalable and reliable model deployment.
• The position requires refining sophisticated data strategies, including active learning pipelines to enhance machine learning effectiveness.
• The engineer will leverage existing monitoring systems to identify opportunities for performance, scalability, and reliability improvements.
• Best DevOps/SRE practices will be championed to ensure AI solutions are reliable, resilient, and cost-effective.
• Collaboration with data scientists, software engineers, domain experts, and product managers is essential to integrate AI solutions and identify business opportunities.
• Staying updated on emerging trends and technologies in AI and machine learning, particularly in educational technology, is crucial for driving innovation.

Requirements:

• A strong foundation in machine learning, NLP, and testing principles, with experience in building, fine-tuning, and deploying deep learning models on the cloud is required.
• Proven experience with data processing, storage solutions, and implementing scalable data pipelines is necessary.
• Strong expertise in designing ML systems and a good understanding of SRE practices is essential.
• Experience in building and maintaining ML infrastructure and CI/CD pipelines in production environments, along with a strong understanding of DevOps fundamentals, is required.
• Proficiency in Python coding and hands-on experience with MLOps tools (e.g., PyTorch, FAISS, Amazon SageMaker) and cloud services (e.g., AWS) is necessary.
• The ability to tackle complex problems related to language processing and applying AI in real-world settings is essential.
• Enthusiasm for working in an evolving scale-up environment is required.
• Excellent communication skills with stakeholders across the business are necessary.

Benefits:

• Tailored flexibility allows for a work-life balance with adaptable hours for personal needs.
• Generous unlimited paid leave options are available for permanent team members.
• Location independence enables work from Sydney, interstate, or any inspiring location.
• Ongoing opportunities for growth and development are provided to improve skills and expand knowledge.
• A comprehensive employee assistance program and additional wellbeing leave support holistic wellbeing.
• New parents receive 14 weeks of paid leave, with additional leave for birthing parents.
• The company focuses on hiring top talent, ensuring a collaborative work environment.
• Regular social events, both in-person and remote, foster team bonding and engagement.
• Employees and their families enjoy free access to Atomi services.
• The Sydney office is centrally located, with convenient access to cafes, shops, and public transport.