Software Engineer, Associate

Develop, train, and optimize machine learning models to support business requirements and strategic goals.

Write and optimize Python code for data manipulation, automation, and machine learning pipeline development.

Utilize SQL for querying databases and performing data analysis to support ML model training.

Conduct Pandas transformations and data preprocessing to prepare datasets for analysis and model building.

Implement and deploy machine learning models into production environments, ensuring scalability and reliability.

Leverage Generative AI (GenAI) techniques to enhance product features, data generation, or predictive modeling.

Collaborate with cross-functional teams, including data scientists, engineers, and business analysts, to translate business problems into technical solutions.

Stay updated on the latest machine learning trends and technologies to bring innovative ideas to the team. Develop, train, and optimize machine learning models to support business requirements and strategic goals.

Qualification:

Bachelor s degree in Computer Science, Engineering, Mathematics, or related field.

knowledge in machine learning model development and deployment.

Strong programming skills in Python, with experience using libraries such as Pandas, NumPy, and Scikit-learn.

Proficiency in SQL for data extraction and transformation from relational databases.

Experience working with large datasets and applying data transformations using Pandas.

Hands-on experience in developing machine learning models (supervised and unsupervised).

Strong understanding of model evaluation techniques, hyperparameter tuning, and validation.

Knowledge of Generative AI (GenAI) concepts and their application in real-world problems.