We are looking for a skilled MLOps Engineer with experience in design, deploy, and maintain scalable machine learning pipelines in production environments. The ideal candidate will have strong expertise in cloud platforms, CI/CD, data engineering, and model lifecycle management.

Job Description :

- Minimum of 3+ years software development experience using object-oriented languages.

- Firm understanding of software development practices, automated testing, and code design/optimization

- 3+year of experience with programming languages such as PySpark and Python.

- 2+Experience of working in MLOPS projects.

- Experience with Big Data analytics and development is preferred

- Hands-on experience with developing, architecting or running ML/deep learning workloads in the cloud

- Experience with predictive modelling, Data modelling, hypothesis testing, statistical, mathematical, predictive modelling, machine learning Using time series analysis techniques in R and/or Python

- Knowledge of ML pipeline tools (MLflow, Kubeflow, Airflow).

- Experience leading development teams implementing robust software applications using natural language processing, machine learning on unstructured data, and information retrieval

- Strong understanding of model monitoring, versioning, and governance

- Pharma/healthcare knowledge will be a plus

Qualification :

- BE/ B. Tech/BCA /M Tech/MBA/MCA with 60%+