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 it@gosolve.io.

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

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