Staff, Data Scientist

• Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field, with 3+ years work experience.
• Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these.
• Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source)
• Experience with Python; solid knowledge SQL.
• Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
• Excellent oral and written communication skills.

• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)
• Experience developing multimodal solutions for Generative AI and related applications at scale
• Exposure to real-world, production grade agentic systems.
• Familiarity with LLMs serving optimizations and multi-LoRa
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Strong attention to detail and exceptional level of organization
• Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
• Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.

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Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.