Technical Analyst, Data Science Engineering

Responsibilities

• Collaborate with Data Scientists, Data Engineers, and Product Teams to operationalize AI models and deliver insights.
• Customize and maintain MLOps / LLMOps platforms
• Conduct product evaluations to support Generative AI tracing, evaluation, and testing.
• Automate model training, testing, and deployment using commercial or open-source tools.
• Research and implement best practices to enhance existing machine learning infrastructure.
• Optimize solutions for performance and scalability.

Requirements

• Bachelor’s degree in computer science or a related field, or equivalent practical experience.
• Proficient in scripting and programming with at least one object-oriented language, e.g., Python, Java, Scala, GoLang.
• Familiarity with machine learning fundamentals and libraries, e.g., pandas, NumPy, SciPy, PyTorch, TensorFlow, LightGBM.
• Experience with SQL and RDBMS (e.g., MySQL, Oracle, PostgreSQL), Azure Databricks.
• Understanding of application container concepts, e.g., Docker, Kubernetes.
• Strong grasp of computer science fundamentals, including data structures, algorithms, complexity, and computer architecture.
• Familiarity with Linux systems and command-line interfaces, e.g., bash.
• Passion for solving software engineering challenges.
• Excellent collaboration and communication skills.
• Self-motivated learner with the ability to quickly adapt to new technologies and tools.
• Focus on achieving business outcomes.