Senior Machine Learning Scientist (Generative AI) - Viator

View full description

Requirements:

• 5+ years of hands-on data science experience with at least 2 years of experience with LLM
• Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring.
• In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries.
• Strong skills in SQL and at least one programming language.
• To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments.
• Experience in deploying online solutions and analysing real-time results through A/B testing.
• To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability.
• Leadership qualities, autonomy, and team collaboration skills.
• Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively.

Responsibilities:

• Research, prototype, and productionize generative AI models.
• Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content.
• Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs.
• Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning.
• Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops.
• Understanding use cases for Agentic AI communicating your findings with the wider ML team and product.
• Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs.
• Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications.
• Stay up to date with the latest in GenAI research and help shape internal best practices.
• Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
• Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.
• Investigate and adopt innovative concepts that offer tangible benefits.