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.