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Advanced Machine Learning Infrastructure Developer
2 weeks ago
We are seeking a highly skilled Senior MLOps Engineer to fill our open position. The ideal candidate will have 5+ years of experience in ML Ops, Dev Ops, or related fields and hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Key Responsibilities:- Develop and maintain scalable machine learning infrastructure using cloud-based services.
- Collaborate with cross-functional teams to integrate ML models into production environments.
- Ensure high-quality code deployment, monitoring, and troubleshooting.
- Design and implement data pipelines for efficient data processing and analysis.
- Maintain accurate records of all technical activities and communicate effectively with stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 5+ years of experience in ML Ops, Dev Ops, or related roles.
- Excellent problem-solving skills and attention to detail.
- Strong knowledge of cloud-based services, containerization, and orchestration.
- Ability to work effectively in a fast-paced environment and adapt to changing priorities.
- Familiarity with big data technologies, such as Hadoop and Spark.
- Experience with data visualization tools, like Tableau or Power BI.
- Knowledge of programming languages, including Python, Java, or C++.
- Familiarity with Agile development methodologies and Scrum frameworks.
Competitive salary range offered. We also offer benefits and opportunities for growth and development.