TWG Global
Senior Associate, Machine Learning Engineer
TWG Global, Santa Monica, California, United States, 90403
Senior Associate, Machine Learning Engineer
Join TWG Global as a Senior Associate, Machine Learning Engineer, to design, build, and deploy machine learning systems that drive real business value. We drive innovation and business transformation across industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. You will work alongside seasoned ML engineers and data scientists to contribute to production-ready AI applications. The Role:
As a Senior Associate, Machine Learning Engineer, you will contribute to the development and deployment of ML models and pipelines focused on insurance investment analytics, portfolio optimization, and risk modeling. Contribute to the development and deployment of ML models and pipelines specifically focused on insurance investment analytics, portfolio optimization, and risk modeling Support production efforts, including model packaging, integration, deployment, and monitoring for model performance, drift, and reliability Conduct exploratory data analysis and feature engineering to support experimentation, prototyping, and model improvements Collaborate with senior engineers and data scientists to refine models and improve scalability, robustness, and accuracy Participate in building internal tools and infrastructure that enhance model training, testing, and monitoring workflows Clean, transform, and prepare datasets from diverse sources, ensuring data quality and consistency across ML pipelines Translate findings into clear, actionable insights, and communicate results effectively to technical and non-technical stakeholders Develop full-stack applications that operationalize ML models for insurance investment platforms, building both model APIs and user-facing interfaces Apply insurance domain expertise to create solutions for investment portfolio management, asset allocation, and risk assessment Build responsive web applications using modern frontend frameworks and RESTful APIs Requirements: 3+ years of experience building and deploying ML models in production environments, including hands-on experience with model monitoring and diagnostics Demonstrated domain knowledge in insurance, particularly in investment management, asset allocation, or insurance company portfolio management Solid understanding of machine learning fundamentals, statistical methods, and data science workflows Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus Exposure to model lifecycle management tools (e.g., MLflow, Weights & Biases) and production monitoring systems (e.g., Prometheus, Grafana) Proficiency in Python and familiarity with core ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Experience with data manipulation and analysis using tools like pandas, NumPy, and SQL Familiarity with data visualization tools (e.g., matplotlib, seaborn, Plotly) to support storytelling and analysis Excellent problem-solving skills, eagerness to learn, and comfort operating in fast-paced, evolving environments Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field Strong written and verbal communication skills, with the ability to clearly explain technical concepts and results to diverse audiences Preferred experience: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir's data and AI ecosystem Experience building production ML systems specifically for insurance use cases TWG Global is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. The base pay for this position is $170,000-190,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis.
#J-18808-Ljbffr
Join TWG Global as a Senior Associate, Machine Learning Engineer, to design, build, and deploy machine learning systems that drive real business value. We drive innovation and business transformation across industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. You will work alongside seasoned ML engineers and data scientists to contribute to production-ready AI applications. The Role:
As a Senior Associate, Machine Learning Engineer, you will contribute to the development and deployment of ML models and pipelines focused on insurance investment analytics, portfolio optimization, and risk modeling. Contribute to the development and deployment of ML models and pipelines specifically focused on insurance investment analytics, portfolio optimization, and risk modeling Support production efforts, including model packaging, integration, deployment, and monitoring for model performance, drift, and reliability Conduct exploratory data analysis and feature engineering to support experimentation, prototyping, and model improvements Collaborate with senior engineers and data scientists to refine models and improve scalability, robustness, and accuracy Participate in building internal tools and infrastructure that enhance model training, testing, and monitoring workflows Clean, transform, and prepare datasets from diverse sources, ensuring data quality and consistency across ML pipelines Translate findings into clear, actionable insights, and communicate results effectively to technical and non-technical stakeholders Develop full-stack applications that operationalize ML models for insurance investment platforms, building both model APIs and user-facing interfaces Apply insurance domain expertise to create solutions for investment portfolio management, asset allocation, and risk assessment Build responsive web applications using modern frontend frameworks and RESTful APIs Requirements: 3+ years of experience building and deploying ML models in production environments, including hands-on experience with model monitoring and diagnostics Demonstrated domain knowledge in insurance, particularly in investment management, asset allocation, or insurance company portfolio management Solid understanding of machine learning fundamentals, statistical methods, and data science workflows Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus Exposure to model lifecycle management tools (e.g., MLflow, Weights & Biases) and production monitoring systems (e.g., Prometheus, Grafana) Proficiency in Python and familiarity with core ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Experience with data manipulation and analysis using tools like pandas, NumPy, and SQL Familiarity with data visualization tools (e.g., matplotlib, seaborn, Plotly) to support storytelling and analysis Excellent problem-solving skills, eagerness to learn, and comfort operating in fast-paced, evolving environments Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field Strong written and verbal communication skills, with the ability to clearly explain technical concepts and results to diverse audiences Preferred experience: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir's data and AI ecosystem Experience building production ML systems specifically for insurance use cases TWG Global is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. The base pay for this position is $170,000-190,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis.
#J-18808-Ljbffr