Data Scientist

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🕒 January 20

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Monaire

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🍽️ Food & Beverage

📦 Logistics

Consulting • Food & Beverage • Logistics

Monaire is an AI-powered solution focused on optimizing HVAC and refrigeration management for businesses such as restaurants, convenience stores, and facilities. By utilizing smart technology, Monaire helps clients reduce operational expenses, minimize energy costs, and decrease equipment downtime, leading to substantial savings and more sustainable practices. With a commitment to enhancing system performance without the need for major replacements, Monaire fosters efficiency and supports businesses in achieving their sustainability goals.

📋 Description

• Scale ML systems for 5X growth—optimize batch processing, database queries, and model inference • Design ML models for time-series data, anomaly detection, and predictive maintenance • Optimize production systems: <3s response times, 30% cost reduction, 99.9% uptime • Database optimization (MongoDB): indexes, connection pooling, 3-5X performance improvement • Batch processing: parallel processing, async operations, memory management • Model optimization: <500ms inference latency, caching strategies • NLP & LLM: enhance conversational AI bots with intelligent query generation • Build monitoring systems: real-time dashboards, SLA tracking, automated scaling

🎯 Requirements

• 2+ years hands-on data science/ML experience • Strong Python (NumPy, Pandas, Scikit-learn) • Deep learning: TensorFlow, Keras, or PyTorch • MongoDB: Query optimization, indexing, aggregation pipelines • Database optimization: Index design, query tuning • Batch processing: Parallel processing (multiprocessing/async) • Time-series data, anomaly detection, statistical modeling • Strong CS fundamentals and debugging skills • Nice-to-Have Skills • MLOps tools, Lambda optimization, caching (Redis/ElastiCache) • Monitoring: Grafana, Prometheus • NLP/LLM: Prompt engineering, conversational AI • IoT/sensor data experience, startup experience • AWS: Lambda, S3, CloudWatch, ElastiCache/Redis • Docker, SQL, Flask API development • Qualifications Bachelor's/Master's/PhD in CS, IT, Applied Math, Statistics, or related field

🏖️ Benefits

• Competitive salary + equity with meaningful ownership • Comprehensive health insurance (self, spouse, children, and parents) • Remote-first, flexible work culture • Opportunity to work on high-impact systems with climate and sustainability impact • Strong emphasis on engineering excellence, ownership, and growth • Collaborative, inclusive, and low-ego team culture