Job Description : ;We are looking for a skilled and proactive ;Machine Learning Engineer with a strong foundation in Python and SQL, and hands-on experience with modern MLOps tools and practices. You will be responsible for building, deploying, and maintaining scalable machine learning solutions in production environments, leveraging cloud-native technologies and automation pipelines. ;Key Responsibilities:Design and implement end-to-end machine learning pipelines.Develop and deploy ML models using Python and manage data workflows using SQL.Build and orchestrate workflows using Google Cloud Composer (Airflow).Containerize applications using Docker and deploy them on Google Kubernetes Engine (GKE).Set up and manage CI/CD pipelines for automated model training and deployment.Develop and maintain RESTful APIs to serve ML models in production.Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and scalability.Required Skills & Qualifications:Proficiency in ;Python and ;SQL for data manipulation and model development.Experience with ;Google Cloud Platform (GCP), especially ;GKE, ;Composer, and ;BigQuery.Strong understanding of ;MLOps practices and tools.Hands-on experience with ;Docker and container orchestration using ;Kubernetes.Experience with ;CI/CD tools (e.g., GitHub Actions, Jenkins, Cloud Build).Proficiency in ;API development using frameworks like ;Flask or ;FastAPI.Familiarity with version control systems (e.g., Git).