Advanced MLOps Specialist
We are seeking a highly skilled and experienced Advanced MLOps Specialist to join our team. This role will involve designing, implementing, and maintaining robust and scalable machine learning pipelines.
About the Role
* Design, implement, and maintain machine learning pipelines using DevOps practices, machine learning principles, and cloud computing platforms.
* Work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models.
* Possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms.
Key Skills and Qualifications
* Proficiency in programming languages used in ML, such as Python/ Java.
* Knowledge of software development best practices and methodologies.
* Experience with version control systems (e.g., Git).
* Familiarity with CI/CD tools and practices.
* Strong problem-solving and analytical skills.
* Understanding of data structures and algorithms.
* Ability to design and develop scalable, efficient, and maintainable software systems.
* Experience with microservice architecture, API development.
* Deep understanding of machine learning principles, algorithms, and techniques.
* Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark.
* Proficiency in data preprocessing, feature engineering, and model evaluation.
* Knowledge of ML model deployment and serving strategies, including containerization and microservices.
* Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring.
* Ability to optimize and fine-tune ML models for performance and accuracy.
* Understanding of statistical analysis and experimental design.
* Proficiency in data visualization and interpretation of ML results.
What We Offer
* A culture of collaboration and open communication.
* Learning and development opportunities.
* Interesting and meaningful work.
* Balance and flexibility.
* A high-trust organization that values its employees.