ML Engineer: Real-Time Personalization & Recommendations

TechChain Talent; New York (NY); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

TechChain Talent is seeking a Machine Learning Engineer to design, develop, and deploy recommendation models powering discovery, personalization, and real-time decisioning. You’ll own models, data pipelines, and supporting infra from problem framing to production.

You will work with product teams to integrate models with low-latency inference, run A/B tests, and iterate on features using deep learning, NLP, and reinforcement learning techniques.

Qualifikationen

• Experienced ML Engineer with strong algorithms, data structures and statistical modelling.

Aufgaben

• Design, develop and deploy recommendation models that improve discovery, personalisation, engagement and retention.
• Build scalable data pipelines and use large datasets to develop features, train models and inform product development.

Kenntnisse

Algorithms

Data structures

Statistical modelling

Recommendation systems

Python

TensorFlow

PyTorch

ML infrastructure

Data pipelines

A/B testing

Deep learning

NLP

Reinforcement learning

Embeddings

Candidate generation

Cold starts

Scalability

Tools

TensorFlow

PyTorch

Jobbeschreibung

TechChain Talent is seeking a Machine Learning Engineer to design, develop, and deploy recommendation models powering discovery, personalization, and real-time decisioning. You’ll own models, data pipelines, and supporting infra from problem framing to production.

You will work with product teams to integrate models with low-latency inference, run A/B tests, and iterate on features using deep learning, NLP, and reinforcement learning techniques.