Senior Machine Learning Engineer, Healthnix

• 5+ years of industry experience in building and deploying machine learning models, with a focus on recommendation systems and personalization engines
• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field
• Hands-on experience in delivering machine learning models to production at scale
• Experience in writing production-quality Python code
• Comfortable working with Python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost
• Experience with common LLM frameworks (Langchain, Llamaindex, RAG, HuggingFace, and eval frameworks like Ragas or Presidio)
• Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting
• Comfortable working with Docker and containerised applications
• Experience with A/B testing and experimentation in a production environment

Desirable

• We're seeking a trailblazing Senior Data Scientist/ML Engineer to revolutionize our recommendation and personalization solutions
• You'll leverage cutting-edge machine learning to build high-performance models that drive business value and transform user experiences
• As a key player in our growing team, you'll have the unique opportunity to chart your own path, diving deep into recommendations, generative AI, NLP, and system design
• You'll own the entire ML stack, serving as both a technical leader and a subject matter expert, applying your industry knowledge to supercharge our products
• If you're passionate about pushing the boundaries of AI and turning complex data into game-changing solutions, this is your chance to make a lasting impact.

• Otta application screening
• Role fit interview with the Founders
• Technical interview
• Culture interview and personality test