Machine Learning Engineer

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PSignite

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

PSignite is a company that offers a comprehensive platform, CPGvision, for trade promotion management, optimization, and price optimization for consumer packaged goods brands. The platform integrates artificial intelligence and machine learning to enhance trade promotion and price strategy effectiveness. PSignite provides solutions for trade budget management, ROI evaluation, deduction management, and volume/spend forecasting, along with services in blueprinting, implementation, data management, and change management. The company emphasizes security, scalability, and integration with Salesforce, helping businesses maximize profitable revenue growth and optimize their operations. CPGvision is recognized for its robust, user-friendly capabilities and is trusted by leading consumer goods brands worldwide.

📋 Description

• Design, build, and maintain end-to-end machine learning pipelines covering data ingestion, feature engineering, model training, evaluation, and serving • Train and optimize gradient boosting models (LightGBM, XGBoost) and deep learning architectures such as Temporal Fusion Transformers (TFT) for time-series forecasting at scale • Deploy and manage ML workloads on AWS (S3, EC2, Lambda), including containerized training jobs, scheduled retraining, and model artifact management • Package models for production use with proper versioning, monitoring, and automated testing • Write clean, well-tested, modular Python code following software engineering best practices (OOP, design patterns, typing, linting, CI/CD) • Work closely with Data Scientists and business stakeholders to translate analytical prototypes into production-ready solutions and communicate technical decisions clearly

🎯 Requirements

• A degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field • Minimum 2 years of commercial experience as a Machine Learning Engineer, Data Engineer, or a similar role with strong ML focus • Strong Python skills with emphasis on best practices (OOP, type hints, testing, clean architecture, packaging) • Hands-on experience training and deploying gradient boosting models (LightGBM, XGBoost) • Working knowledge of AWS (S3, EC2, Lambda) and the ability to set up and manage cloud-based ML workloads • Proficiency in Docker for containerizing ML services and pipelines • Solid SQL skills for data extraction and transformation • Comfortable working in a Linux terminal environment • Communicative English, sufficient for reading documentation, code reviews, and presenting technical decisions to the team

🏖️ Benefits

• Choice of employment contract or B2B • Fully remote work with quarterly on-site meetups (2-3 days) • Work with large-scale datasets and real impact on decisions of major corporations • A structured development process from research through to production deployment • Access to cloud computing infrastructure (AWS) and a modern technology stack • Opportunity to shape the ML engineering culture and tooling within the team • Mentorship support • Multisport card • Private medical care