Principal Machine Learning Engineer

Key Responsibilities:

• Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech).
• Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness.
• Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.
• Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments.
• Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.
• Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.
• Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation

Qualifications and Skills:

• Bachelors or Master's in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience.
• Proficiency in Python and solid foundation in applied ML methods.
• Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.
• Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.
• Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.
• Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus.
• Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows.
• Proven track record of delivering scalable, data-centric ML solutions.
• Excellent communication and leadership skills, with experience mentoring junior ML engineers and presenting technical strategies to senior stakeholders.

Career Level - IC4