MLOps Engineer - Remote (AWS Certified Machine Learning)

Overview Join to apply for the MLOps Engineer - Remote (AWS Certified Machine Learning) role at MillenniumSoft Inc . Location : San Diego, CA Duration : 10+ Months Total Hours/week : 40 1st Shift Client : Medical Devices Company Level of Experience : Senior Level Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT) Responsibilities We\'re seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you\'ll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally. This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. Qualifications Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or related fields. Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus. Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn. Proficiency with CI/CD tools such as Github Actions. Hands-on experience with AWS. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of infrastructure-as-code tools such as AWS CDK and Cloudformation. Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications AWS Certified Machine Learning - Specialty Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon. Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark. Knowledge of security best practices for machine learning systems. Experience with A/B testing and model performance monitoring. Referrals increase your chances of interviewing at MillenniumSoft Inc by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr MILLENNIUMSOFT