Inquatro

We’re looking for driven ML developer to help us build cutting-edge AI solutions that transform how businesses operate.

You`ll work on a project related to Energy Management, the main goal is to create a system to deliver predictive demand analytics, energy optimization, battery storage management, smart charging and energy trading capabilities.

The current team is working on creating a big time-series models, based on information about location data (such as energy load, consumption, weather, market prices, etc). The ML system powers the algorithms for energy management and trading.
 

Requirements:

• 2-3 years of experience in Data Science, Machine Learning, or a related role
• Expertise in data analysis and processing
• Strong knowledge of time-series analytics
• Experience working with Big Data
• Proficiency in classic Machine Learning methods
• Skills in optimisation techniques
• Proficiency in Python, including pandas, numpy, matplotlib/seaborn
• Experience with ML libraries: scikit-learn, XGBoost, SARIMA
• Strong SQL and PostgreSQL skills
• Experience with Kafka for real-time and batch data processing

Responsibilities:

• Build and upgrade ML forecasting models
• Analyze and search patterns in data to improve accuracy
• Work in a tech team to develop and improve ML models and logic
• Collaborate with managers and customers to present results and progress

Languages:
- Upper-intermediate level of English (B2)

Would be a plus:

- Experience with Prophet and Ionos

Special bonuses for you:
 

• Remote-first and flexible work with optional co‑working spaces
• Performance-based bonuses and tax coverage 
• Competitive vacation policy and local holidays for real work-life balance
• Professional development support courses, certifications, and conferences covered

We are looking for a Marketing Designer on a freelance basis to help us shape and grow our brand at Inquatro.

As we actively expand our presence, you’ll play a key role in creating compelling presentations, engaging social media visuals, and consistent marketing assets that tell our story. 
 

Responsibilities:
 

• Design presentations and pitch decks that tell compelling stories
• Create visual assets for social media posts (static + animated)
• Maintain brand consistency across all marketing materials
• Collaborate with marketing, sales, and leadership teams to refine messaging visually
• Stay updated on design trends to keep our content fresh and engaging
  
   

Requirements:

• Proven experience as a marketing designer or graphic designer
• Strong portfolio showcasing presentations, pitch decks, and social content
• Proficiency in design tools like Figma or similar
• Understanding of brand identity and visual storytelling
• Creativity, attention to detail, and ability to meet deadlines
  
  
  Languages:

• Intermediate (B1) or Upper-intermediate level of English (B2)

Nice to have:

• Experience in b2b marketing or tech environments
  
   

We are seeking a highly skilled Python Back-end Developer with excellent communication skills to join our dynamic team at Inquatro. 

As a Python Backend Developer, you will play a key role in designing and maintaining APIs, optimizing core systems, and contributing to the development of new product features.


Responsibilities:

• Design, develop, and maintain Python-based applications
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Identifying and resolving cloud environment issues
• Monitoring system performance and enhancing software for scalability and efficiency
• Perform code reviews and provide constructive feedback
• Test and debug programs and improve the functionality of existing systems

• Provide estimates and communicate project plan to stakeholders
   

   

Requirements:

• 3 years of commercial experience as a Back-end developer
• Hands-on experience in building backend services with Python
• Understanding of OOP (Object-Oriented Programming) concepts
• Experience with FastAPI, Django, MQs
• Hands-on experience with GCP/Azure, AWS services
• Experience with databases PostgreSQL, MySQL, DynamoDB, Redis
• Basic knowledge of containerization Docker and CI/CD pipelines
• Experience with writing unit tests using frameworks like pytest or unittest
• High attention towards performance optimizations, system scalability, availability, and application stability
  
   

Nice to have:

• Experience with Terraform and Kubernetes

   

   

Languages:

• Upper-Intermediate level of English (B2)

Special bonuses for you:
 

• Remote-first and flexible work with optional co‑working spaces
• Performance-based bonuses and tax coverage 
• Competitive vacation policy and local holidays for real work-life balance
• Professional development support courses, certifications, and conferences covered
  
   

We are seeking a Machine Learning Engineer to join our team for a specialized project focused on detecting, classifying, and predicting radio frequency jamming activity. The engineer will work closely with our product teams to design, train, and deploy models that can reliably identify different types of interference and anomalies in real time.

This role requires expertise in machine learning and a good understanding of digital signal processing, time-series analysis, and model deployment for embedded or cloud-based systems.

Key Responsibilities:

• Preprocess, clean, and augment signal datasets to optimize model performance.
• Develop and train supervised or unsupervised models for anomaly detection in time-series data.
• Evaluate and optimize model accuracy, latency, and robustness in noisy and real-world environments
• Implement feature extraction methods for radio frequency signals
• Integrate models into real-time detection systems
• Conduct model validation, benchmarking, and continuous improvement.

Required Experience:
 

• 1-3 years of experience in Data Science, Machine Learning, or a related role
• Experience in machine learning model development for time-series or signal processing applications
• Strong programming skills in Python and machine learning frameworks
• Experience with DSP concepts: Fourier transforms, filtering, spectral analysis, feature extraction
• Knowledge of anomaly detection techniques and classification algorithms
• Proficiency in data preprocessing and augmentation for low-SNR or noisy datasets
• Experience working with large datasets and optimizing for real-time or near-real-time inference

Nice-to-Have:
 

• Background in radio frequency engineering or wireless communication systems
• Experience with embedded machine learning deployment
• Familiarity with GNU Radio or other SDR frameworks
• Knowledge of cybersecurity or electronic warfare concepts

Special bonuses for you:
 

• Remote-first and flexible work with optional co‑working spaces
• Performance-based bonuses and tax coverage 
• Competitive vacation policy and local holidays for real work-life balance
• Professional development support courses, certifications, and conferences covered