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.