The Job:
As an ML Ops Engineer, you will bridge the gap between our data science and engineering teams, ensuring the seamless deployment and operation of our machine learning models. You will be responsible for designing, building, and maintaining the infrastructure and pipelines that support our machine learning applications. Your primary goal will be to ensure the reliability, scalability, and performance of our machine learning systems.
Key Responsibilities:

Model Maintenance: Develop and implement processes for model updates, retraining, and redeployment, ensuring minimal downtime and optimal performance.
Model Deployment: Collaborate with data scientists to deploy machine learning models into production, ensuring smooth integration with existing infrastructure.
Infrastructure Management: Manage and maintain the infrastructure supporting our machine learning applications, including cloud resources, containerization, and orchestration tools.
Model Serving: Design and implement model serving architectures that can handle large volumes of requests and provide low- latency responses.
Security and Compliance: Ensure the security and compliance of our machine learning systems, adhering to industry standards and regulatory requirements.
Monitoring and Logging: Develop monitoring and logging systems to track model performance, identify issues, and enable data- driven decision- making.
Collaboration: Work closely with data scientists, engineers, and product managers to identify and prioritize project requirements, develop solutions, and ensure successful project delivery.

Yêu cầu công việc

Requirements:

Education: Bachelor&039;s degree in Computer Science, Mathematics, Statistics, or a related field.
3+ years of experience in machine learning operations, software engineering, or a related field.
Technical Skills:
Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit- learn).
Proficiency in Python, Go, C++
Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).

Soft Skills:
Excellent communication and collaboration skills.
Ability to work in a fast- paced environment and prioritize multiple tasks.
Strong problem- solving and analytical skills.

Nice to Have:

Knowledge of DevOps practices: Experience with continuous integration, continuous deployment, and continuous monitoring.
Experience with MLOps tools: Familiarity with MLOps platforms and tools, such as MLflow, TensorFlow Extended, or AWS SageMaker.

Healthy lunches and free flow of fresh milk, coffee, tea, and more while working in our fabulous office
Full medical and dental coverage for you.
Free access to a wide variety of online courses
Competitive salary package and and attractive project token bonus
Flexible working time and open, dynamic environment with stunning colleagues
Sick leave, holidays, and at least 12 paid days off annually.
MacBook Pro, monitor, smart desk & chais and any accessories provided to do your best work

Cập nhật gần nhất lúc: 2024-09-07 11:25:03