Senior Data Scientist

Requirements:

• 7+ years of experience building production ML / AI systems, with recent experience in LLMs or AI agents in data science.
• Strong Python engineer with a bias toward clean, scalable, and maintainable code.
• Proven experience working with unstructured data and images at scale.
• Hands-on experience with agent patterns (tool use, function calling, planning, memory).
• Good proficiency and hands-on experience with LLMs and advanced AI models.
• Experience deploying AI systems on AWS, GCP, or Azure in microservices architectures.
• Thrives in fast-moving startup environments with high ownership and ambiguity.
• Strong Python skills with a focus on data engineering and data analysis.
• Proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy, and Pandas.
• Strong understanding of machine learning models, model training, and hyperparameter tuning.
• Working knowledge of deep learning models, loss functions, and accuracy measures.
• Hands-on proficiency with PyTorch / TensorFlow / Keras.
• Experience in NLP solutions preferred.
• Experience in parsing PDF and text documents preferred.
• Experience with statistical regression, neural nets, deep learning, decision trees, SVM, and ensembles is expected.
• Multi-cloud experience and proficiency with providers AWS, GCP, or Azure.
• Comfortable working in a microservices environment.
• Self-motivated, with enthusiasm to build next-generation AI systems.