Machine Learning Engineer - Remote Opportunities Available

About the Role

We are looking for a talented Machine Learning Engineer to join our innovative team at Viral Internet Brands. This remote Machine Learning Engineer position offers you the chance to work on cutting-edge AI projects while enjoying the flexibility of remote work. You will be responsible for designing, building, and deploying machine learning models that drive our data-driven solutions across Germany and Europe.

What You'll Do

• Design, build, and deploy scalable machine learning models and algorithms.
• Work with large datasets for data preprocessing, feature engineering, and modeling.
• Collaborate with data scientists, engineers, and product teams to create impactful solutions.
• Develop and maintain ML pipelines and production systems.
• Evaluate model performance and optimize accuracy using best practices.
• Implement MLOps practices, including CI/CD for ML, monitoring, and versioning.
• Stay updated with the latest advancements in AI/ML technologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 2–5 years of experience in machine learning or AI roles.
• Strong programming skills in Python, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Experience with data processing and big data tools like Spark and Hadoop.
• Knowledge of model deployment technologies such as Docker, Kubernetes, and APIs.
• Understanding of statistics, algorithms, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Fluent in English; proficiency in German is a plus.

Nice to Have

• Experience with advanced machine learning techniques.
• Familiarity with data visualization tools.
• Previous work in an international team environment.

What We Offer

• Competitive salary aligned with the German AI market (€95K–€120K; Senior roles up to €160K+).
• Flexible working hours with remote/hybrid options.
• 25–30 days of annual leave.
• Health insurance and social security benefits.
• Access to cutting-edge AI projects and tools.
• Learning budget and opportunities for conferences.
• International and innovative work environment.
• Visa sponsorship and EU Blue Card support if applicable.