We are seeking a motivated and detail-oriented AI/ML Ops Engineer to join our dynamic team. In this role, you will support the deployment, maintenance, and optimization of AI and machine learning models. You will work closely with data scientists and software engineers to ensure smooth integration and operation of AI/ML applications.
- Assist in deploying and managing machine learning models and AI systems in production environments.
- Monitor system performance and troubleshoot issues related to model operations.
- Help maintain model versioning and ensure compliance with data governance standards.
- Collaborate with cross-functional teams to assist with data sourcing, preprocessing, and feature engineering.
- Support the automation of machine learning workflows and CI/CD pipelines.
- Document processes, system configurations, and standard operating procedures.
- Stay updated on industry trends and best practices in AIML operations.
Desired Qualifications:
- Internship or project experience in machine learning or AI operations.
- Understanding of data storage technologies (e.g., SQL, NoSQL databases).
- Familiarity with monitoring tools and methodologies.
Required Qualifications:
- A minimum of 5 years related experience with a Bachelors Degree, 3 years with a Master's Degree.
- Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
- Basic understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Proficient in programming languages such as Python or Java.
- Knowledge of version control systems, preferably Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to obtain any required clearances in the future.
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