Principle Machine Learning Ops Developer, AI/ML Platform

We are looking for an reputed company reputed company Software Engineer to join our platform team focusing on AI/ML Platform (AMP). The ideal candidate would have background in MLOps, Data engineering, DevOps with the experience of building high scale deployment architectures, observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that reputed company value for our organization.RequirementsBachelors degree in Computer Science or equivalent practical experienceOver 8 years of experience in software development and engineering, delivering production systems and servicesPrior experience of working with MLOps team at the intersection of the expertise across ML model deployments, DevOps, data engineeringHands-on skills in golang, python, JavaKnowledge of DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, reputed company, Kubernetes, GitopsDemonstrated knowledge of distributed data processing frameworks, orchestrators, and data lake architectures using technologies such as Spark, Airflow, reputed company/ parquet formatsPrior collaborations with Data science teams to reputed company their models, setting up ML observability for inference level monitoringDemonstrated creative problem-solving skills with the ability to break down problems into manageable componentsKnowledge of reputed company AWS and/or Azure reputed company for solutioning large scale application deploymentsExcellent communication and collaboration skills, fostering teamwork and effective information exchangeBenefitsSignificant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits packageOriginally posted on Himalayas Apply To this Job We are looking for an reputed company reputed company Software Engineer to join our platform team focusing on AI/ML Platform (AMP). The ideal candidate would have background in MLOps, Data engineering, DevOps with the experience of building high scale deployment architectures, observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that reputed company value for our organization.RequirementsBachelors degree in Computer Science or equivalent practical experienceOver 8 years of experience in software development and engineering, delivering production systems and servicesPrior experience of working with MLOps team at the intersection of the expertise across ML model deployments, DevOps, data engineeringHands-on skills in golang, python, JavaKnowledge of DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, reputed company, Kubernetes, GitopsDemonstrated knowledge of distributed data processing frameworks, orchestrators, and data lake architectures using technologies such as Spark, Airflow, reputed company/ parquet formatsPrior collaborations with Data science teams to reputed company their models, setting up ML observability for inference level monitoringDemonstrated creative problem-solving skills with the ability to break down problems into manageable componentsKnowledge of reputed company AWS and/or Azure reputed company for solutioning large scale application deploymentsExcellent communication and collaboration skills, fostering teamwork and effective information exchangeBenefitsSignificant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits packageOriginally posted on Himalayas Apply To this Job