Senior ML OPS Engineer
Senior ML OPS Engineer
Posted on :
11-12-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
- Provide expert technical guidance on ML Ops best practices including model deployment scalability monitoring and automation.
- Design and implement robust machine learning pipelines to ensure seamless model integration into production environments.
- Develop systems to monitor maintain and optimize ML models ensuring high availability accuracy and reliability over time.
- Collaborate with crossfunctional teams including data scientists engineers and business stakeholders to align ML Ops strategies with organizational goals.
- Apply deep domain expertise across multiple functions to deliver tailored ML solutions for specific business needs.
- Build scalable infrastructure for deploying machine learning models leveraging containerization (e.g. Docker) and orchestration (e.g. Kubernetes) technologies.
- Lead and mentor a team of 8 10 individuals fostering a culture of collaboration innovation and continuous improvement.
- Drive the adoption of advanced ML Ops tools and frameworks such as MLflow Kubeflow and TensorFlow Extended (TFX) to streamline processes.
- Implement CI/CD pipelines for ML model deployment and manage infrastructure as code using tools like Terraform or CloudFormation.
- Ensure compliance with data privacy and security standards in all ML Ops implementations.
- Continuously explore emerging ML Ops technologies and methodologies to enhance operational efficiency and effectiveness.
Requirements
- 6 years of experience in a Senior ML Ops role or a similar position with a proven track record of success in deploying ML solutions at scale.
- Advanced expertise in machine learning model deployment monitoring and lifecycle management.
- Proficiency in programming languages such as Python Java or Scala with strong scripting skills.
- Handson experience with cloud platforms (e.g. AWS Azure Google Cloud) for managing and deploying ML workflows.
- Deep understanding of containerization and orchestration tools (e.g. Docker Kubernetes) and their application in ML Ops.
- Experience with data engineering and processing tools including Apache Spark Hadoop and Airflow.
- Strong knowledge of ML Ops frameworks like MLflow Kubeflow or TFX and familiarity with monitoring tools like Prometheus or Grafana.
- Proven ability to lead and manage teams with at least 2 years of experience in a leadership role.
- Excellent problemsolving skills and the ability to communicate complex technical concepts to nontechnical stakeholders.
- Entrepreneurial mindset with the ability to innovate and adapt to evolving business needs.
Preferred Skills
- Knowledge of compliance and regulatory standards related to data privacy and AI ethics.
6+ years of experience in a Senior ML Ops role or a similar position, with a proven track record of success in deploying ML solutions at scale. Advanced expertise in machine learning model deployment, monitoring, and lifecycle management. Proficiency in programming languages such as Python, Java, or Scala, with strong scripting skills. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for managing and deploying ML workflows. Deep understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) and their application in ML Ops. Experience with data engineering and processing tools, including Apache Spark, Hadoop, and Airflow. Strong knowledge of ML Ops frameworks like MLflow, Kubeflow, or TFX, and familiarity with monitoring tools like Prometheus or Grafana. Proven ability to lead and manage teams, with at least 2 years of experience in a leadership role. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders. Entrepreneurial mindset with the ability to innovate and adapt to evolving business needs. Preferred Skills Knowledge of compliance and regulatory standards related to data privacy and AI ethics.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
