Key Information
Title: Senior Machine Learning Engineer
Location: Nicosia, with hybrid working preferred. Fully remote can be considered.
Salary: €36,000 - €60,000 depending on experience and qualifications
Experience Level: Senior
Company Overview
Welcome to NFT Valuations – a dynamic and established player in the web3 and NFT arena, celebrating three years of groundbreaking work. We provide AI-driven valuations and in-depth market insights to collectors, investors, and financial institutions. Our platform leverages cutting-edge technology and comprehensive historical data to deliver accurate pricing and market analysis, helping users make informed decisions in the rapidly evolving web3 landscape.
We are looking for a seasoned Machine Learning Engineer to join our dynamic team. This integral role involves enhancing our valuation models for millions of NFTs that span collectibles, virtual land, and algorithmically generated art pieces. Your work will involve handling both structured (historical data aggregations and token metadata) and unstructured (sparse time series and image extracted) data to develop innovative statistical models for time series and tabular data that will drive product features and improve product quality.
Key Responsibilities
- Collaborate with our agile team of product managers and developers to design, build, evaluate, launch, and refine product features through robust ML algorithm development.
- Use comprehensive business requirement analyses to devise innovative statistical models for time series and tabular data.
- Work closely with our data strategy team to identify and integrate new datasets that enhance our product capabilities.
- Partner with our engineering team to strategize and implement the development of data products.
- Extract patterns and insights from structured and unstructured data sources to meet our application needs.
- Perform data and error analysis to optimize models and clean and validate data for uniformity and accuracy.
- Contribute to optimization and tooling efforts to elevate product quality.
Skills & Requirements
- Minimum three years of proven hands-on experience as an applied data science/machine learning engineer.
- Solid experience applying clustering and financial time-series algorithms for supervised and semi-supervised learning problems.
- Proficiency in agile software processes, data-driven development, reliability, and rapid prototyping.
- Expertise in maintaining end-to-end machine-learning pipelines.
- Experience with databases (MySQL, Redshift, No-SQL).
- Proficiency in Python for applied data science/machine learning.
- Capability to thrive in a fast-paced environment and collaborate effectively with team members.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field
- Fluent in English
Additional Qualifications Considered Advantageous
- Experience working on large-scale, real-time data processing systems and high-availability architectures is a plus.
- Familiarity with Amazon Web Services (AWS).
- Experience with ETL for feature extraction.
- Prior experience with ensemble learning.
- Hands-on experience with CatBoost/LightGBM and PyTorch.
- Experience with or a keen interest in the blockchain and NFT field.
Benefits
- Competitive salary: €36,000 - €60,000 depending on experience and qualifications
- Flexible working hours
- Remote working opportunity
- Twenty days of PTO annually
- Opportunities for professional development and growth
Join our team at NFT Valuations and be a part of the exciting and fast-paced world of web3 and NFTs. Apply now and help us shape the future of NFT valuation and market analysis!