Title: Staff Machine Learning Engineer, GenerativeAI
Location: NY
Salary: $210,000.00 - $245,000.00
Industry: eCommerce / Consumer
Contact: harry.orme@forsythbarnes.com
Key Responsibilities
- :Create sophisticated applications aimed at addressing complex and ambitious tasks, utilizing LLMs to support an expansive marketplace and enhance user experience
- .Design and implement systems grounded in strong architectural principles to ensure scalability and adaptability for future development
- .Collaborate proactively with senior engineers, partner teams, and leadership to define and drive the roadmap for machine learning platforms and tools, empowering teams to achieve state-of-the-art machine learning outcomes with LLMs
- .Develop and deliver reusable components (such as services, libraries, and SDKs) for training, fine-tuning, and optimizing LLM capabilities, ensuring scalability and efficient use across multiple applications
- .Act as a consultant for partner teams, providing insights and guidance on best practices for implementing LLMs across various business use cases
- .Work closely with other engineering groups to continuously enhance the speed, performance, and capabilities of LLM development throughout the organization
.
Requirement
- s:At least 8 years of experience in designing, building, and supporting internet-scale infrastructure, machine learning platforms, and ML services/framework
- s.Strong understanding and experience with large language models, including fine-tuning, evaluation, and system architecture. LLMOps experience is a plu
- s.Proficient in programming languages such as Python, Java or Scala (C++ is a bonus). Experience with frameworks like TensorFlow, PyTorch, Spark, Airflow, and KF
- P.Knowledgeable in Terraform, GCP and Vertex AI, AWS, and monitoring/observability tools, with hands-on experience in production support for large-scale system
- s.Experience with Docker or similar container frameworks and orchestration tools like Kubernete
- s.Proven success working with data scientists, business analysts, and product managers to align technical solutions with business objective
- s.Comprehensive understanding of the machine learning proces
- s.A growth mindset and commitment to continuous learnin
- g.Strong listening skills and clear, transparent communication abilitie
- s.Alignment with the organization’s vision, mission, and value
- s.Familiarity with GCP technology is an added benefi
t.
