Mid-Level MLOps Engineer
AI/ML
Remote
Permanent / Full Time
Title – Mid-Level MLOps Engineer
Start date: Immediate
Position Type: Full-Time
Location: Remote across India
Role Overview:
We seek a skilled MLOps Engineer to join our dynamic team and play a pivotal role in building and maintaining machine learning pipelines across cloud platforms such as AWS, Azure, or GCP. As an MLOps Engineer, you will be responsible for deploying and managing machine learning pipelines, including implementing data ingestion, data cleaning, feature engineering, training, deployment, and monitoring strategies, and ensuring the reliability and scalability of our AI infrastructure.
Key Responsibilities:
- Design, build, and optimize machine learning pipelines on cloud platforms such as AWS, Azure, or GCP.
- Collaborate with data scientists and engineers to deploy machine learning models into production environments.
- Implement continuous integration and deployment (CI/CD) pipelines to automate model training, testing, and deployment processes.
- Monitor and optimize the performance of machine learning models in production and implement strategies for model retraining and versioning.
- Ensure the security, reliability, and scalability of machine learning infrastructure and environments.
Required Skills and Qualifications:
- Strong technical skills in model development in the machine learning and deep learning space.
- Experience building and deploying machine learning pipelines on cloud platforms such as AWS, Azure, or GCP.
- Proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Knowledge of DevOps practices and tools for automation, such as Jenkins or GitLab.
- Excellent problem-solving and communication skills.
