Responsibilities
Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies
Scale impact
Improve processes, workflows, and best practices for research and production
Ensure efficient use of large-scale data and infrastructure
MSc in Computer Science, Mathematics, Engineering, or equivalent experience
Strong NLP expertise – Must
Deep understanding of modern NLP methods (transformers, LLMs, embeddings, etc.)
Proven experience delivering NLP solutions to production
Leadership experience – Must
2+ years of experience managing or leading data science / ML teams
Demonstrated ability to mentor and grow team members
Hands-on ML/NLP experience – Must
5+ years of experience in research and implementation of ML-based solutions
Strong coding skills (Python – must; Java/C#/Scala – advantage)
Production experience – Must
Experience deploying and maintaining ML/NLP systems in production environments
Familiarity with scalable systems and data pipelines
LLM + Deep Learning experience – Must
Experience working and training LLMs, and deploying them at large-scale
Experience with modern DL frameworks (PyTorch, TensorFlow)
Strong problem-solving and critical thinking skills
Excellent communication skills
Ability to communicate complex ideas to both technical and non-technical stakeholders
