Job Title : Data Scientist / Machine Learning Engineer

Location : Noida, India

Work Mode : Work From Office

Experience Required : 5 years - 6 Years

Key Responsibilities :

- Design, develop, and deploy machine learning models to solve business problems.

- Build and maintain data processing pipelines for large-scale structured and unstructured datasets.

- Perform data analysis, feature engineering, and model evaluation.

- Work with big data technologies such as Spark / PySpark for scalable data processing.

- Develop and maintain ETL pipelines for data ingestion, transformation, and integration.

- Collaborate with data engineers, software developers, and business teams to implement data-driven solutions.

- Deploy ML models using containerization and orchestration tools such as Docker and Kubernetes.

- Monitor model performance and manage the machine learning lifecycle using tools like MLflow, Airflow, or Kubeflow.

- Work with cloud platforms such as AWS, Azure, or GCP for scalable data and ML workloads.

Required Skills & Qualifications :

- 5- 6 years of experience in Data Science / Machine Learning / Data Engineering roles.

- Strong programming skills in Python.

- Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

- Experience with data processing tools including Pandas, NumPy, Spark / PySpark.

- Strong understanding of statistics, probability, and data modeling.

- Proficiency in SQL and relational databases.

- Experience building and managing ETL pipelines and data workflows.

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

- Knowledge of Docker, Kubernetes, or CI/CD pipelines.

- Experience with ML lifecycle management tools (MLflow, Airflow, Kubeflow).

Preferred Qualifications :

- Experience working with big data platforms and distributed computing frameworks.

- Knowledge of data visualization tools such as Power BI, Tableau, or similar.

- Experience deploying ML models in production environments.