Description

You will build and deploy analytical solutions using machine learning and large language models within a production environment.

This role is on-site.

Responsibilities

• Manage data modeling and cleaning processes from internal and external sources.
• Develop, manage, and deploy ML, DL, and LLM solutions using the SDLC process.
• Implement features through the full ML lifecycle, including development, testing, training, production, and monitoring.
• Design and develop algorithms for generative models using deep learning techniques.
• Present status, issues, and analytical findings to business, technology management, and model governance stakeholders.

Required Skills

• 5+ years of experience as a data engineer specializing in ML modeling, ranking, recommendations, or personalization systems.
• 5+ years of experience designing scalable machine learning systems for training, inference, and monitoring.
• 3+ years of proficiency in Python, SQL, Spark, PySpark, and TensorFlow.
• Strong background in ML/DL/LLM algorithms, model architectures, and training techniques.
• Experience with LLM tools and generative model design.
• Ability to manage deliverables in an agile environment.

Preferred Skills

• Experience with GenAI/LLM projects.
• Familiarity with Hadoop, Hive, or MySQL.
• Neo4j experience.

Key Skills

Education

Any Gradute