Senior data Scientist

Experience in the field of AI. Lead AI Data Scientists and engineers to accomplish objectives of cutting age GPT, especially in the field of Finance and quantitative research.

Experience in Problem Diagnosis, Root Cause Analysis, Solution Development, GPT-Performance Evaluation, and Negotiation. Throughout my career, I have played a critical role in creating innovative solutions that have resulted in significant advancements in Generative-AI products.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 8 - 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc).
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket).
• Experience with Grafana, Prometheus, Splunk will be an added benefit.
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.