Lead Machine Learning Engineer

3 days ago

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Profitero

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eCommerce Analytics • Retail Media • Pricing & Promotion Data • Competitor Price Intelligence • Brand MAP Monitoring

501 - 1000 employees

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

Description

Collaborate with data scientists and software engineers to build new and improve existing ML models•Optimize and fine-tune ML models to meet performance, efficiency, and accuracy goals•Analyze data from multiple sources•Setup and analyze diverse metrics to measure the quality and effectiveness of ML models used•Deliver ML models to production, building scalable and cost-effective solutions•Design, create, maintain, troubleshoot, and optimize the complete end-to-end machine learning life cycle•Analyze the business domain and suggest what data should be collected to make improvements in the future•Create and maintain documentation for implemented solutions, ensuring accurate and concise reporting on technical specifications and system requirements•Troubleshoot and resolve issues related to ML models usage in production scenarios, ensuring high reliability and performance•Provide capabilities for early detection of various drifts (data, concept, schema, etc.)•Continuously identify technical risks and gaps, devise mitigation strategies•Identify and eliminate technical debt in machine learning systems

Requirements

Knowledge of Python (scipy, pandas, numpy, matplotlib, seaborn, plotly, etc.) + ML libraries (scikit-learn, xgboost, libffm, etc.)•Knowledge of major Machine Learning algorithms (both supervised and unsupervised)•Choosing metrics, validation strategy, and appropriate models•Experience with MLOps tools and platforms (mlflow, dvc, GCP Vertex AI, Amazon Sagemaker, DataBricks, or other)•Experience with designing, building, and deploying production applications and data pipelines•Experience automating MLOPs•Experience with CI/CD•Experience with cloud-native services: GCP, AWS, Azure•Knowledge of at least one of the Deep Learning frameworks: TensorFlow, Keras, PyTorch•Experience in Neural Networks training on text/image data•Understanding of working principles of different architectures (CNN, RNN, Transformers)•Experience in NLP, starting from classic approaches to Neural Networks•Experience in the libraries like gensim, nltk, fasttext, etc. •Experience mentoring others in the area of expertise•Knowledge of SQL for basic queries•English B2•Problem-solving skills to develop quick yet sound solutions to resolve complex issues•Ability to work independently with attention to detail while performing tasks•be proactive, goal-oriented and a good teammate

Benefits

Vacation (20 working days per year, 100% paid)•Health insurance reimbursement (up to 250 USD gross per year)•Paid sick leave (80% of the daily base salary)•4 days for recovery without a sick leave document during the year (80% of the daily base salary)•Individual sports activities reimbursement (50% of the check, up to 45 USD gross max per month)•English classes reimbursement (100% of the check, up to 57 USD gross max per month)•Professional development opportunities reimbursed by the company (seminars/training/conferences/etc.)•Team-building activities