Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Contact Center Automation, AIIndustries
Requirements
Candidates should possess at least 5 years of software development experience in Machine Learning infrastructure, Machine Learning tooling, or products utilizing Machine Learning, with preferred experience in the ML ecosystem including Python, PyTorch, Faiss, and Elasticsearch. Strong communication skills, a vivid imagination, and a passion for engineering and team culture are also required.
Responsibilities
As a Senior Machine Learning Engineer, you will lead the exploration and application of Large Language Models and Generative AI, translating research into high-performing systems and models, actively engaging in all aspects of development from ideation to deployment, collaborating with teams and product managers to develop ML-based solutions, ensuring performance optimization, and cultivating an environment that encourages innovation and professional growth.
Skills
Python
PyTorch
Faiss
Elasticsearch
Large Language Models
Generative AI
ML infrastructure
ML tooling
ML products
Communication
Problem-Solving
Team Collaboration
Replicant
AI-powered customer service solutions provider
About Replicant
Replicant provides AI-powered customer service solutions designed for businesses with high call volumes, such as restaurants and retail companies. Their platform operates in the cloud and integrates with existing systems like IVR, CCaaS, and CRM, allowing businesses to authenticate callers and resolve issues efficiently. Replicant's pay-as-you-go pricing model enables companies to adjust their customer service capacity based on demand, making it ideal for handling seasonal fluctuations. The platform is available 24/7, which helps eliminate wait times and enhances customer satisfaction. Replicant stands out from competitors by offering seamless integration with various systems and a flexible pricing structure, aiming to improve customer service operations and overall satisfaction for its clients.
Key Metrics
San Francisco, CaliforniaHeadquarters
2017Year Founded
$113MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise Software, AI & Machine LearningIndustries
51-200Employees