Machine Learning Engineer / Data Scientist

We’re GoSolve – a global company specialised in transforming our customers’ vision into digital applications. We love building large-scale cloud-based digital products and have the necessary skills to make it happen. Join us and work with the top tech talents from all over the globe in a driven, proactive environment. Do you wish to join a stable product development project? You will be a perfect fit!

Just GO for it.

We are looking for a talented Machine Learning Engineer/ Data Scientist. We need a candidate that can design and develop new machine learning models for supply/demand forecasting. The candidate should be able to work independently with the business partners and provide thought leadership to drive innovation. This role requires a strong blend of data science modeling, domain expertise and the ability to thrive in a fast paced, pod model. Tech Stack : dbt, Redshift, Glue, Hex, Tableau, Vertex AI.

Working hours: US timezone (4 hours overlap)

Responsibilities:

• Model Development & Deployment 
  – Build and optimize machine learning models for supply and demand forecasting 
  – Design robust time series, probabilistic, and deep learning-based forecasting models. 
  – Own the full lifecycle of modeling from testing, training to deployment to production. 
• Data Engineering & Infrastructure 
  – Collaborate with data engineers to build and maintain scalable pipelines for data ingestion, feature generation, and inference. 
  – Ensure data quality and governance best practices across training and production environments. 
• Cross-Functional Collaboration 
  – Partner closely with Operations, and Engineering teams to integrate forecasting models into production reporting 
  – Communicate technical results and modeling decisions effectively to non-technical stakeholders.
  

Skills & Requirements:

• 5+ years of experience developing and deploying machine learning models in production.
• Hands-on experience with time series forecasting frameworks (e.g., Prophet, ARIMA, DeepAR, etc.).
• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Proficient with SQL and some knowledge of dbt for transformations 

Nice to have

• Experience with cloud platforms (e.g., AWS, GCP) and MLOps tools (e.g., MLflow, SageMaker, Vertex AI).
• Experience in Machine Learning/ Data Engineering 
• Prior experience in logistics, e-commerce, healthcare, or manufacturing where supply-demand dynamics are central. 

All official emails from GoSolve come only from @gosolve.io — do not trust messages from any other domain. If in doubt, contact us directly at  [email protected].

Benefits:

• Be a part of the team that works for the most influential global brands. 
• Opportunities to create industry-defining services using the latest technologies.
• Responsible position – leverage your knowledge beyond simple coding.
• Advise customers on optimal solutions – we trust your expertise!
• No rush! Work at your own pace in a quality-over-quantity environment.
• Collaborate with highly experienced professionals.
• Numerous opportunities for professional growth.
• Full-time remote work from anywhere in the world…
• …or, if you enjoy the office ambiance more, from the WeWork office.
• Monthly budget for social benefits – tailored to your location and lifestyle.
• 20 days of paid time off.
• Annual training budget.

GDPR DATA PRIVACY NOTICE
In accordance with Article 13(1) and (2) of the GDPR, we inform you that: 1. The controller of your personal data is the entity indicated in the job offer. 2. We will process your personal data for the purpose of conducting the recruitment process for the position indicated in the job offer, and if you have given consent in this regard, also for the purpose of conducting future recruitment processes. 3. You have the right to: access your data and request its rectification, erasure, restriction of processing, the right to data portability, and the right to object to the processing of your data. 4. We do not engage in automated decision-making or profiling. 5. For more information on how we process your personal data, please refer to the full text of the Information Clause for Job Candidates.