Senior Machine Learning Engineer (Freelance, Remote) – Demand Forecasting

Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our clients’ growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. 

Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma. 

As a fully remote company, we welcome talented individuals seeking hourly-based freelance opportunities

We are currently looking for a highly skilled Senior Machine Learning Engineer to join a high-impact forecasting project in the manufacturing domain.​

Project Overview

You will lead the development of a demand forecasting solution designed to predict manufacturing output using historical production data and external signals. Currently in the discovery phase, the project is expected to last 3–4 weeks (part-time), with a potential full-time extension.

Key Responsibilities

• Architect and implement an end-to-end demand forecasting system tailored to manufacturing operations.

• Select, implement, and validate time series forecasting models (statistical and machine learning-based).

• Collaborate closely with data analysts and engineers to ensure data readiness and build relevant time-aware features.

• Develop and deploy automated ML pipelines using cloud ML platforms (e.g., Azure ML, AWS SageMaker, GCP Vertex AI).

• Establish CI/CD workflows and monitoring tools for continuous model retraining and performance assurance.

• Integrate predictive outputs with business tools such as ERP, CRM, and inventory systems.

• Communicate technical insights clearly to stakeholders, enabling data-driven decisions.

Required Qualifications

• 5+ years of hands-on experience in ML/AI engineering with a strong focus on business impact.

• Deep expertise in demand forecasting, with experience deploying models to production.

• Proficiency with both statistical (ARIMA, ETS) and ML-based forecasting techniques (XGBoost, Prophet, LSTM, TFT).

• Strong background in building full ML pipelines—from data preprocessing to deployment and monitoring.

• Practical experience with cloud-based platforms like Azure ML, AWS SageMaker, or Vertex AI.

• Familiarity with MLOps practices, including CI/CD, monitoring, and automated retraining.

• Solid Python skills and experience with libraries such as scikit-learn, pandas, TensorFlow/PyTorch, and statsmodels.

• Strong written and verbal communication skills, with the ability to explain complex models to non-technical audiences.

• Ukrainian language fluency is required; English proficiency (B2+) is a strong advantage.

Why Join Altamira?

• Collaborate with a dynamic, innovative, and experienced team.

• Work on meaningful, high-impact projects in a flexible freelance setting.

• Gain exposure to enterprise-level AI/ML implementations in real-world manufacturing environments.

• Enjoy potential project extensions and long-term collaboration opportunities.

 Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:

1. Recruiting Interview -> 30-45 min
2. Technical Interview -> 1-1,5h
3. Client Interview (optional) -> up to 1h
4. Reference Check
5. Offer

If you're seeking a flexible, welcoming, and professional environment, join our freelance project-based team! 

We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!