This is a fully remote position, open to applicants in Europe.

📋 Description

• Lead, develop, enhance, and manage ML/LLM projects along with various automations.

• Process, cleanse, and transform extensive network and device telemetry datasets for analysis and modeling.

• Create and implement feature engineering strategies to enhance model accuracy, interpretability, and robustness.

• Utilize SQL and Python, along with libraries like Pandas, NumPy, and Scikit-learn, to analyze data and construct analytical pipelines.

• Convert product or business requirements into analytical tasks and plans for model development.

• Develop and assess machine learning models for anomaly detection, forecasting, and optimization.

• Work collaboratively with engineering and product teams to integrate models into production systems and track their performance.

• Provide insights and models promptly, even under tight deadlines.

• Contribute to MLOps processes for model deployment, validation, and monitoring.

⛳️ Requirements

• Proven experience in leading, developing, and managing AI projects.

• Extensive experience with ML/LLM techniques and their implementation.

• Strong programming abilities in Python and familiarity with essential data science libraries.

• Solid SQL proficiency for querying, aggregating, and joining complex datasets.

• Demonstrated experience in transforming unrefined, high-volume data into structured, high-quality inputs for modeling.

• Comprehensive understanding of feature extraction, selection, and transformation for predictive modeling.

• Strong knowledge of statistics, probability, and applied machine learning.

• Capability to comprehend requirements, outline solutions, and produce high-quality results within tight timelines.

• Exceptional communication and teamwork abilities across engineering, product, and data functions.

• Experience with AWS cloud services, including SageMaker and S3.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Comprehensive health insurance and wellness programs.

• Engaging and inclusive company culture.