Machine Learning Engineer - Python (4-7 yrs)

Job Title : Data Science Engineer

Location : Remote (India, Ahmedabad Preferred)

Shift : UK Shift

We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale.

Key Responsibilities :

- Design and develop machine learning models for various business problems.

- Implement data preprocessing, feature engineering, and model training in Python and Databricks.

- Work on model deployment, monitoring, and scaling in cloud or on-premise environments.

- Develop and optimize data pipelines to support model building and execution.

- Collaborate with cross-functional teams to ensure model alignment with business needs.

- Ensure the scalability, performance, and reliability of deployed models.

- Implement MLOps practices for automated testing, continuous integration, and model versioning.

- Monitor model performance in production and refine models as needed.

Requirements :

- 6+ years of experience in Data Science, Machine Learning, and Model Deployment.

- Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Experience with data pipeline development and cloud platforms

- Knowledge of MLOps practices for scalable and automated model deployment.

- Strong SQL skills and experience working with large datasets.

- Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker).

- Ability to work in a UK shift and collaborate with global teams.

Job Type : Full-time

Schedule : UK shift

Application Question(s) :

Please provide your current CTC, expected CTC and Notice period along with the application. The applications without this information may not be considered.

Education : Bachelor's (Required)

Experience : Python: 4 years (Required)

Databricks : 3 years (Required)

Work Location : Remote