Senior Software Engineering - AI/ML

Candidates must possess a Bachelor's degree in computer engineering or a related field, with 5-7 years of professional experience. Essential qualifications include excellent knowledge of data structures, algorithms, and designing for performance, scalability, and availability. Proficiency in Python for Object-Oriented Programming, demonstrated experience with Linux and Docker containers, and knowledge of major cloud providers (Azure, GCP, or AWS) are required. Strong experience in designing and building multithreaded distributed systems, developing REST APIs, and experience with ML/Ops technologies like Azure ML & Databricks are also essential. The role requires the ability to design and develop relational databases with efficient SQL, experience with collaborative development tools (Git, Confluence, Jira), and CI/CD tools & pipelines (Github Actions, Jenkins, Docker, Kubernetes). Strong problem-solving, analytical, and synthesis capabilities, a proactive and resolutive attitude, team collaboration skills, deadline management, and the ability to learn quickly are crucial. Experience with Agile methodologies (SCRUM/KANBAN) is also a requirement. Preferred qualifications include knowledge of LLM models, experience with Redis Cache, Azure Service Bus, fluid written and oral communication in English, and experience managing large amounts of data.