2 publicaciones de empleo destacadas de data science en desde casa (¡Están contratando!)

Lead AI Engineer
EPAM Systems, Inc. —Desde casa
20h
Senior AI Engineer
EPAM Systems, Inc. —Desde casa
20h

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Lead AI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 20 horas

Descripción completa del empleo

We are looking for a Lead AI Engineer to join our team. Our client is in the midst of a significant transformation of its insurance technology approach, transitioning from legacy platforms to sophisticated, agent-based AI systems. In this role, you'll join a globally distributed team focused on constructing smart platforms that simplify complex insurance functions, giving brokers more room to focus on strategic thinking and cultivating client relationships.

Responsibilities

Recognize meaningful opportunities to apply AI across various functions within the Insurance Broking domain
Design, build, and deploy enterprise-grade AI platforms aimed at simplifying intricate insurance processes
Build AI-driven tools that harness LLMs, RAG, document processing, data extraction, classification methods, and agent-based system design
Collaborate directly with brokers, underwriters, and operations personnel to surface challenges and engineer solutions built for scale
Take ownership of the full AI product journey, from concept development and prototyping through launch, performance tracking, and continuous enhancement
Develop rigorous testing and evaluation frameworks for AI systems, including performance benchmarking, monitoring, and hallucination detection capabilities
Spearhead rapid experimentation cycles and drive forward-thinking practices grounded in current AI development standards
Increase operational throughput, minimize turnaround periods, and drive greater business productivity via intelligent automation solutions
Offer mentorship and technical guidance to engineering peers, promoting reliable approaches to AI system development
Stay ahead of emerging AI trends and apply new technologies to address insurance-specific business problems

Requirements

A Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, or comparable practical experience
At least 5 years of relevant professional experience in Software Engineering, AI/ML, Machine Learning, or adjacent disciplines
A minimum of one year of experience leading and managing development teams
Proficient working knowledge of Python and TypeScript
Proven history of guiding AI-powered products from conceptual stages through to full-scale production launch
Hands-on background applying machine learning models and Large Language Models (LLMs) within practical use cases
Familiarity with modern software engineering techniques, including CI/CD workflows and containerized deployment
Strong analytical mindset, effective problem-solving skills, and clear, confident communication
Ability to convey complex technical concepts in language accessible to business stakeholders
Excellent English communication skills (B2 level or higher)

Nice to have

Working knowledge of (Re)Insurance Underwriting Operations to build stronger context around industry workflows
Understanding of Infrastructure as Code principles, with particular attention to security, to enable reliable and secure environment configuration
Previous experience working within the Insurance industry to strengthen the relevance of AI solution design
Practical experience with Monitoring and Observability platforms to maintain ongoing insight into system behavior after deployment
Demonstrated Technical Leadership background, including team direction and shaping long-term engineering strategy

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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