TWG Global · 16 hours ago
Senior Machine Learning Engineer (NYC)
New York, NY
Full-time
Onsite
Senior Level
$190K/yr - $200K/yr
5+ years expTWG Global is a company that drives innovation and business transformation across various industries by leveraging data and AI. The Senior Machine Learning Engineer will design, build, and scale machine learning systems, collaborating with experienced engineers to enhance productivity and support mission-critical business functions.
Construction
Responsibilities
Contribute to the design, development, and deployment of ML models and pipelines across business-critical domains such as financial services and insurance
Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability
Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows
Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost-efficient in production
Work with large-scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines
Implement monitoring dashboards, alerts, and diagnostics for model health and system performance
Contribute to documentation, governance, and reproducibility practices, supporting compliance in regulated environments
Qualification
Required
5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics
Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows
Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus
Proficiency in Python and familiarity with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)
Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL
Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred
Excellent problem-solving skills, eagerness to learn, and ability to thrive in a fast-paced, evolving environment
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
Strong written and verbal communication skills, with the ability to explain technical details to both technical and business stakeholders
Preferred
Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems
Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows
Exposure to graph databases (Neo4j, TigerGraph) and their application in AI/ML systems
Benefits
Competitive compensation, benefits, future equity options, and leadership opportunities.
Company
TWG Global
TWG Global is a unique holding company, strategically investing in and operating businesses across Investment Management, Securities, AI & Technology, Finance & Corporate Lending, Merchant Banking & Private Investments, and Sports, Media & Entertainment.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase