| Remote Position || MLOps Engineer at Remote, Remote, USA |
| Email: anuragsingh@usgrpinc.com |
|
From: Anurag Singh, United Software Group anuragsingh@usgrpinc.com Reply to: anuragsingh@usgrpinc.com Hello, This is Anurag from United Software Group. Hope youre doing good. I was trying to reach you for the roles of MLOps Engineer | | Remote Work || Contract Position Please have a look at the job, you may reply to this e-mail or call me directly to get in touch with me. Role: MLOps Engineer Location: Remote work Duration: Contract Position Job Description: POSITION OVERVIEW : You Will: Focus on model deployments & performance monitoring, training & inference cost optimizations, tech stack upgrades & migrations Design, improve, and implement best practices in continuous integration and delivery pipelines to speed the rate at which our machine learning engineers can go from ideation to operationalizing machine learning models in a repeatable manner Setup new model training pipelines ensuring proper tagging, monitoring, alerting, and logging are in place Deploy projects into a streamlined environment strategy ensuring they can take advantage of best practices Identify cost savings in areas where computation and storage utilized for model training and inference can be optimized Support existing day to day requests through our service desk raised by our platform's customers to quickly provide access, unblock issues, and provide general guidance on best platform practices and patterns Collaborate with existing machine learning engineers, data scientists and ML platform engineers from cross-functional teams You Bring: Advanced degree (Masters or above) in Computer Science, specializing in software engineering or platform engineering 3 years of industry experience working in MLOps position Strong programming skills in languages such as Python, Scala, and Java Hands-on Experience in Databricks, mlFlow, Seldon Excellent problem-solving skills and analytical skills Deep knowledge of the AWS ecosystem Expertise in Git, Docker, Kubernetes, Jenkins, Prometheus, and Grafana Preferred Qualifications: Experience in supporting as platform engineer, large-scale online customer-facing ML applications, preferably recommendation systems Experience working with custom ML platforms, feature store, and monitoring ML models Familiarity with best practices in DevOps, MLOps Knowledge of additional CI/CD tooling such as Prow, Bazel, and ArgoCD Experience in Snowflake, Kubeflow, Tecton Keywords: continuous integration continuous deployment machine learning golang Remote Position || MLOps Engineer anuragsingh@usgrpinc.com https://jobs.nvoids.com/job_details.jsp?id=2127447 |
| anuragsingh@usgrpinc.com View All |
| 03:58 AM 30-Jan-25 |