Experience Inc. Jobs

MLOps Engineer 4 Job ID 2024-11929

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1 Job Locations Remote - U.S. Additional Locations PL Category Engineering and Testing Overview The MLOps Engineer 4 is responsible for designing developing and deploying scalable end to end machine learning solutions with an emphasis on Generative AI systems. This position will build and maintain impactful production grade ML systems. The MLOps Engineer 4 will be skilled in both model development and operational deployment ensuring the reliability and scalability of advanced ML applications. What you will be doing Develop and automate processes for deploying machine learning models to production environments ensuring that models are accessible and performant in real-world settings. Develop/maintain scalable ML Platform providing inference and fine-tuning services Implement security protocols for data and model handling and design solutions that can scale with increased data volume and usage. Create select and test features that improve model performance and align with business needs often through domain knowledge and statistical analysis. Work closely with product backend and frontend teams to build seamless integrated software solutions. Facilitate the collection and analysis of feedback data for continuous improvement. Operate as a trusted advisor on issues and trends; provide general consulting services leveraging expertise and significant best practice knowledge. Operate as an innovative thought leader; contribute significantly to the overall growth and quality of the department through knowledge sharing and coaching on current best practices and market trends. Mentor coach train and provide feedback to other team members; provide feedback to leadership on abilities of team. Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland's Information Systems Security Policy What will make you successful Bachelor's degree or equivalent experience Proven experience in ML engineering MLOps and/or LLMOps. Hands-on experience with ML platform frameworks (e.g. MLflow) and ML frameworks (e.g. PyTorch TensorFlow). Proficiency in orchestrating data and ML pipelines using tools like Metaflow Airflow Dagster Prefect or AWS Glue. Strong programming skills in Python and SQL with experience in at least one data processing framework (e.g. Spark Flink Kafka). Familiarity with both relational and non-relational databases vector databases and graph databases (e.g. PostgreSQL MongoDB Pinecone ElasticSearch). Experience with monitoring and observability tools (e.g. Datadog Grafana Prometheus). Proficient in cloud services particularly AWS and infrastructure management tools like Terraform and Docker. Ability to package and deploy code in cloud production environments. Excellent collaboration skills applied successfully within team as well as with all levels of employees in other areas Excellent critical thinking and problem solving skills Hands-on experience with AWS Bedrock and Sagemaker. Experience applying GenAI to business use cases for specific problem-solving or automation. Excellent ability to use original thinking to translate goals into the implementation of new ideas and design solutions Self-motivated with the ability to manage projects to completion independently Able to thrive in a fast paced deadline driven environment Excellent attention to detail Demonstrated ability to influence motivate and mobilize team members and business partners Excellent ability to develop and use engaging informative and compelling presentation methodologies Excellent ability to handle sensitive information with discretion and tact Excellent ability to establ