Machine Learning Engineer - Python

About the Role :

Key Responsibilities :

- Build and optimize data pipelines, feature engineering, and training workflows.

- Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).

- Monitor model performance, retrain, and maintain production-ready systems.

- Develop APIs and integrate ML solutions with enterprise applications.

- Stay updated on ML/AI trends and contribute innovative solutions.

- Collaborate with data scientists, engineers, and product managers to align with business goals.

Qualifications :

- Strong proficiency in Python; knowledge of Java/Scala/R is a plus.

- Expertise with ML libraries/frameworks : scikit-learn, TensorFlow, PyTorch, Keras.

- Hands-on with data tools : Pandas, NumPy, Spark.

- Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).

- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).

- Understanding of DevOps/MLOps practices.

- Excellent problem-solving, communication, and collaboration skills.