Pics.io

Azzurro.io is looking for ML Engineer.

Location: Remote (Company based in Seattle)

About the Client: Our client partners with brands to improve their sales and visibility on Amazon through optimized advertising campaigns and keyword strategies. Using data-driven insights, they help clients increase their impact in the marketplace.

Role Overview: As a Data Scientist, you'll build predictive models using time series data (e.g., product ranks, keyword performance, ad campaigns) to help optimize our client’s Amazon strategies. You’ll analyze, clean, and transform data to train ML models that improve ad performance and drive sales.

Responsibilities:

• Predictive Modeling: Develop and refine models to analyze product rankings and campaign performance.
• Data Preparation: Extract, clean, and transform large datasets for analysis and modeling.
• Regression Analysis: Build regression models to forecast trends and improve keyword strategies.
• Model Optimization: Use techniques like feature engineering and hyperparameter tuning to improve model performance.

Tech Stack:

• Core Technologies: AWS, MySQL, Python.
• Data & ML Tools: Python libraries (NumPy, pandas), frameworks (e.g., TensorFlow or similar).

Qualifications:

• Strong background in analytics, mathematics, and experience with time series data.
• Proficiency in Python, including data libraries (NumPy, pandas) and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience building regression models and optimizing predictive algorithms.
• Working knowledge of SQL for querying large datasets.
  
  P.S. please pay your attention that this position is open in Azzurro.io company, not Pics.io.

Fully Remote · SaaS · Cloud
 

Pics.io is a fast-growing SaaS platform helping companies manage, search, and collaborate on their digital media libraries. Our stack is modern, pragmatic, and battle-tested. We work with global clients, ship fast, and invest heavily in automation, DX, and clean engineering processes.

What We Build

Our ecosystem includes:

• Node.js / Express backend powering the Pics.io API
• MongoDB & Elasticsearch for data storage, indexing, and search
• Dockerized microservices running across AWS and Google Cloud
• GitHub + GitHub Actions for CICD
• A growing set of integrations, plugins, and AI-powered workflows

We value testing, observability, consistency, and smart automation. Every engineer ships code that reaches real users quickly.

What You’ll Work On

As part of our team you will:

• Build and improve backend services using Node.js and Express powering core Pics.io APIs. 
• Collaborate on frontend code (React/Redux), but spend most of your time on server-side design, APIs, and integrations. 
• Work with MongoDB & Elasticsearch—design schemas, optimize queries, and ensure performant data access. 
• Integrate with third-party services and provider APIs. 
• Deploy, tune, and monitor services running across AWS and Google Cloud. 
• Improve CI/CD workflows and reliability using GitHub Actions and Docker. 

Expect a mix of product engineering, ops-aware thinking, and opportunities to touch security and automation.

What You Bring

• Strong JavaScript/TypeScript skills and professional experience with Node.js + Express. 
• Comfortable working with REST APIs you build and consume. 
• Practical experience with NoSQL databases, ideally MongoDB. 
• Experience writing backend logic that scales and performs reliably in production. 
• Familiarity with Docker containers and cloud environments (AWS/GCP). 
• Ability to write clean, tested code and participate in reviews.

Nice to Have

• Experience with Elasticsearch or similar indexing/search systems. 
• Familiarity with performance optimization and observability tooling. 
• Experience on distributed teams and asynchronous communication. 

You don’t need to be an expert in everything. Curiosity, ownership, and consistency matter more.

How We Work

We are a tight, senior-leaning distributed team with a strong culture of autonomy and mutual support. Clear communication, code quality, and thoughtful review matter to us. Everyone is encouraged to propose ideas, take ownership of features, and contribute to the platform vision.

Interested?

We’d love to chat with you. Send us your CV, GitHub, portfolio links, or any examples of code or projects you’re proud of. When you apply, please explicitly mention the keyword "SaaS experience" and briefly describe a situation where you worked with a SaaS B2B product (as a developer, user, or integrator). This helps us understand your background and confirm you’ve read the role fully. Keep in mind that AI generated answers will be automatically filtered out if they are, let us speak with each other.

P.S. If you know a friend who might be a great fit—feel free to share this role.