Data Scientist

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Strong programming skills in languages such as Python.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in cloud platforms such as AWS, Azure and related services (e.g., AWS SageMaker, Azure ML).
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Familiarity with software engineering principles and best practices (e.g., version control, testing, debugging).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work effectively in a fast-paced and dynamic environment.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of microservices architecture and distributed systems.
• Certification in relevant technologies or methodologies (e.g., AWS Certified Machine Learning Specialty, Kubernetes Certified Administrator).
• Experience with data engineering and ETL processes.
• Understanding of machine learning concepts and algorithms.
• Understanding of Large Language Models (LLM) and Foundation Models (FM).
• Certification in machine learning or related fields.