Amantya Technologies

2 months ago

GurgaonGurugram, IN Amantya Technologies Full time

Title : MLOps Platform Engineer

Experience : 7yrs-10yrs

Location : Gurgaon

About the Role :

We are seeking a highly skilled and motivated MLOps Platform Engineer to join our team. The ideal candidate will be responsible for developing, maintaining, and enhancing our MLOps platform, which integrates data ingestion, preprocessing, workflow orchestration, and machine learning pipelines. This role requires a strong background in software engineering, data engineering, and machine learning, as well as the ability to work collaboratively in a fast-paced environment.

Responsibilities :

- Design and implement end-to-end solutions on the MLOps platform, including data ingestion, preprocessing, workflow orchestration, and machine learning model deployment.

- Collaborate with data scientists and analysts to understand their requirements and translate them into robust and scalable platform features.

- Develop and maintain APIs for integrating various data sources, tools, and services with the MLOps platform.

- Optimize data processing workflows for performance and efficiency.

- Implement best practices for version control, testing, and deployment to ensure the reliability and maintainability of the platform.

- Monitor and troubleshoot platform performance and address any issues or bottlenecks.

- Stay up-to-date with the latest technologies and trends in data engineering and machine learning to continuously improve the platform.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Strong programming skills in Python and experience with data processing libraries such as Pandas, NumPy, and scikit-learn.

- Experience with workflow orchestration tools such as Apache Airflow.

- Familiarity with machine learning frameworks and tools such as TensorFlow, PyTorch, and MLflow.

- Knowledge of database systems (SQL and NoSQL) and data storage solutions (e.g., HDFS, Amazon S3).

- Experience with containerization and orchestration technologies such as Docker and Kubernetes.

- Proficiency in using version control systems (e.g., Git) and CI/CD pipelines.

- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.

- Strong communication skills and the ability to document technical processes and decisions clearly.

Preferred :

- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.

- Familiarity with big data processing frameworks such as Apache Spark or Apache Flink.

- Knowledge of data security and privacy best practices.

(ref:hirist.tech)

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