Senior Machine Learning Engineer – Implementation, Scale

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Trivelta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

🎲 Gambling

🎮 Gaming

☁️ SaaS

Gambling • Gaming • SaaS

<Trivelta> is a mobile-first iGaming technology provider offering a fully customizable turnkey platform for casino and sportsbook operators. Their products include a casino aggregator with top providers, an advanced poker platform, PAM (player account management), native iOS and Android apps, and social engagement features; they also provide payments, risk management, compliance, and support to enable fast market entry and scalable operations.

📋 Description

• Model Implementation: Design, train, and fine-tune state-of-the-art ML models (Deep Learning, Transformers, Gradient Boosting, etc.) specifically optimized for our internal datasets. • End-to-End Pipeline Development: Build and maintain robust data pipelines and training workflows to ensure reproducible and scalable model development. • Optimization & Performance: Profile and optimize model latency and throughput for production environments. • Data Centricity: Perform deep exploratory data analysis (EDA) to identify biases, signal-to-noise ratios, and feature engineering opportunities within our unique data silos. • Collaboration: Work closely with Data Engineers to streamline data ingestion and Backend Engineers to integrate model APIs into our user-facing products.

🎯 Requirements

• 5+ years of professional experience in Machine Learning or Software Engineering, with at least 3 years focused on deploying models to production. • Expert-level Python (and ideally C++ or Go for performance-critical components). • Deep fluency in PyTorch, TensorFlow, or JAX. • Experience with SQL, Spark, and vector databases (e.g., Pinecone, Milvus). • Familiarity with Weights & Biases, MLflow, Kubeflow, or similar orchestration tools. • Strong understanding of linear algebra, calculus, and statistics as applied to ML optimization. • MS or PhD in Computer Science, Mathematics, or a related field (or equivalent 'battle-tested' industry experience).

🏖️ Benefits

• Health insurance • Remote work options