Principle AI Safety Engineer: Technical Lead

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Requirements:

• 10 years of experience in machine learning, engineering, data science, or a related field
• Strong experience in Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Experience with Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
• Experience with Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
• Experience with Microsoft Azure (Data Lake, Machine Learning, Databricks) (Preferred)
• Experience with AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) (Nice to Have)
• Experience with MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
• Experience with Tableau, PowerBI, Pandas, NumPy
• Proven track record providing technical leadership in AI/ML

Responsibilities:

• Train new machine learning models to solve complex business problems.
• Enhance existing machine learning models to increase performance and adapt to our changing business landscape.
• Prototype new AI solutions, including Generative AI, to solve business problems.
• Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
• Build statistical models that depict company-wide trends.
• Perform testing and validation of data sets.
• Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes.