You’ll collaborate closely with cross-functional teams—including product, engineering, and legal domain experts—to design intelligent, scalable solutions that solve real customer problems.

This is a high-impact position ideal for someone who thrives in autonomy, enjoys end-to-end technical responsibility, and wants to be part of a company entering a major growth trajectory.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML models with a focus on LLM and Generative AI applications.
• Own the full lifecycle of AI features—from research and prototyping to productionization and performance tuning.
• Evaluate, fine-tune, and integrate state-of-the-art LLMs using modern frameworks and cloud-based tooling.
• Build scalable data pipelines and model-serving infrastructure in collaboration with the engineering team.
• Translate business and product requirements into technical solutions that deliver measurable value.
• Stay up to date with advancements in AI/ML and proactively introduce innovative approaches and tools.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of professional experience in AI/ML engineering or data science roles.
• Strong hands-on experience with LLMs, Generative AI, and modern NLP techniques.
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Demonstrated experience deploying ML models in production environments.
• Strong understanding of data engineering concepts, APIs, and cloud platforms (AWS/Azure/GCP).
• Ability to take full ownership of projects, prioritize effectively, and operate independently.

What They Offer