MLOps Engineering Lead

1 week ago

pushkar, India beBeeMachineLearning Full time

MLOps Engineering Lead - At the forefront of innovation, our team is shaping the future of machine learning operations. As an MLOps Engineering Lead, you will play a pivotal role in designing, deploying, and maintaining robust ML pipelines using AWS SageMaker and associated cloud services.We are seeking a seasoned professional with strong experience in production-grade MLOps, automation, and cloud engineering to spearhead our efforts.You will lead the development of automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub Actions.Implement model monitoring, logging, and drift detection to ensure seamless operation.Create and maintain infrastructure using Terraform or CloudFormation.Collaborate with cross-functional teams to manage secure, scalable, cost-optimized AWS environments.Key Responsibilities:Benchmark and optimize ML models for improved performance and efficiency.Develop and implement data validation and quality control processes.Design and deploy architecture for scalable and secure AI/ML workloads.Lead technical discussions and decisions to drive business outcomes.Foster a culture of experimentation and continuous learning within the team.About Our Ideal Candidate:We are looking for an experienced technologist with a strong track record in MLOps, cloud engineering, and team leadership.You should have expertise in DevOps tools like AWS CodePipeline, CodeBuild, and GitHub Actions.A deep understanding of machine learning concepts, including model deployment and optimization.Excellent communication and collaboration skills, with the ability to influence stakeholders across various levels.Experience working in agile environments, with a focus on delivering high-quality solutions.

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