Machine Learning Engineer

Description :

Job Title : Machine Learning Engineer

Location : Bangalore, India (Hybrid Onsite Local candidates only)

Interview Mode : Video

Duration : 12+ Months (Contract to Hire)

Role Overview :

We are seeking a highly skilled Machine Learning Engineer with hands-on experience designing, building, and optimizing ML models in production environments.

The ideal candidate will possess strong Python programming expertise, a deep understanding of statistical and machine learning techniques, and experience working within Databricks-based data pipelines.

This role requires close collaboration with data engineers, analysts, and product teams to deliver scalable, high-quality ML solutions.

Responsibilities :

- Develop, train, optimize, and deploy machine learning models for production use cases.

- Work with large datasets using NumPy, Pandas, and other Python-based data processing tools.

- Build and maintain scalable ML workflows on Databricks.

- Collaborate with cross-functional teams to implement end-to-end ML pipelines.

- Perform feature engineering, model evaluation, and experiment tracking.

- Write clean, maintainable, and efficient Python code.

- Troubleshoot and improve existing ML models and data workflows.

- Follow MLOps best practices for versioning, monitoring, and automation.

Required Skills & Experience :

- 3 - 6 years of relevant experience in machine learning engineering.

- Strong proficiency in Python, NumPy, and Pandas.

- Solid understanding of machine learning algorithms, model training, evaluation, and deployment.

- Hands-on experience working with Databricks.

- Experience working with large datasets and cloud-based environments.

- Strong problem-solving skills and the ability to work independently in a hybrid model.

Nice to Have (Optional) :

- Experience with cloud platforms (Azure, AWS, or GCP).

- Familiarity with MLflow, Delta Lake, or Spark.

- Exposure to MLOps practices and CI/CD for ML pipelines.

- Experience with deep learning frameworks (PyTorch, TensorFlow).