Senior MLOps Engineer Castelo Branco

Senior MLOps Engineer
Castelo Branco
Castelo Branco, Castelo Branco, Portugal

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. Develop and automate processes for deploying machine learning models to production environments ensuring that models are accessible and performant in
- world settings. Develop/maintain scalable ML Platform providing inference and
- 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. Py
Torch Tensor
Flow). 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
- relational databases vector databases and graph databases (e. g. Postgre
SQL Mongo
DB Pinecone Elastic
Search). 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 Gen
AI to business use cases for specific
- 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 establish rapport and gain the trust of others; effective at gaining consensus
Ability to work independently and in a team environment
Ability to coach mentor and provide feedback to team members in a timely manner
Ability to provide guidance and support to developing team members
Knowledge of CI/CD tools
Up to 5% travel time required