Key Responsibilities

Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.

Utilize Python for data manipulation, analysis, and modeling tasks.

Proficient in SQL for querying and analyzing large datasets.

Experience with Docker and Kubernetes for containerization and orchestration of applications.

Good knowledge of PySpark for distributed computing and data processing.

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

Deploy machine learning models into production environments and ensure scalability and reliability.

Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.

Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.

8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.

Proven experience in model development, evaluation, and deployment.

Strong programming skills in Python and SQL.

Familiarity with Docker, Kubernetes, and PySpark.

Solid understanding of machine learning techniques and algorithms.

Experience working with cloud platforms, preferably GCP.

Excellent problem-solving skills and ability to work independently as well as part of a team.

Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.