Principal Decision Scientist, Machine Learning Engineer

Degree in Computer Science, Engineering, Mathematics, or equivalent experience Experience designing, deploying, and scaling Generative AI and machine learning systems in production Experience with LLM/Model serving, orchestration, and GPU resource management on Kubernetes Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills Ability to manage an individual workstream independently 5+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills Willingness to travel Familiarity with traditional machine learning tools (Python, SKLearn, XGBoost, SparkML) Experience with deep learning frameworks (TensorFlow or PyTorch) Knowledge of ML model deployment options (Azure Functions, FastAPI, Kubernetes) Experience with CI/CD pipelines (DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (Terraform, ARM Template, Databricks Asset Bundles) Understanding of advanced machine learning techniques Experience with generative AI and LLMs (LLamaIndex and LangChain) Understanding of MLOps or LLMOps

Define high-level business objectives directly with clients Develop and execute project plans Lead teams over the entire data science lifecycle Provide technical leadership and own specific technical components Manage client relationships and create value-driving initiatives Design and develop feature engineering pipelines Build ML & AI infrastructure Deploy models Orchestrate advanced analytical insights Write code in SQL, Python, and Spark