➡️ Apply here: Senior Machine Learning Engineer
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Company Description
At MaxinAI, we create an environment where experts thrive and ideas transform into real impact. Since 2017, we’ve been delivering state-of-the-art digital solutions to clients worldwide.
Our expertise spans AI & Machine Learning, cloud services, full-stack development, blockchain, and Web3, with a strong focus on driving innovation and shaping the future of technology.
Role Description
MaxinAI is looking for a skilled and pragmatic Machine Learning Engineer to design, develop, and deploy scalable ML solutions that deliver real-world impact. You’ll work closely with data scientists, engineers, and product teams to bring prototypes into production, ensuring systems are robust, maintainable, and business-driven.
Responsibilities
* Translate business objectives into ML solutions, choosing the right algorithms and evaluation methods.
* Build and manage experiments to validate and improve model performance.
* Develop and maintain scalable data pipelines and feature stores.
* Deploy, monitor, and maintain ML models in production (batch and real-time).
* Create CI/CD workflows to support retraining, testing, and versioning.
* Automate testing and ensure reproducibility across ML pipelines.
* Build APIs/services for inference and integrate models into applications.
* Collaborate cross-functionally, contribute to architecture discussions, and mentor junior team members.
Qualifications
* 5+ years of experience as a Machine Learning Engineer or in applied ML.
* Strong programming skills in Python with pandas, NumPy, scikit-learn, etc.
* Hands-on experience with TensorFlow, PyTorch, or similar frameworks.
* Proven track record of deploying ML models to production.
* Familiarity with MLOps practices (Git, CI/CD, Docker, Kubernetes, Airflow).
* Experience working with large-scale datasets and cloud platforms (AWS, GCP, or Azure).
Preferred Skills
* Experience with NLP, computer vision, or recommender systems.
* Knowledge of fairness, explainability, and interpretability in ML.
* Familiarity with experiment tracking and data lakehouse tools (MLflow, W&B, Delta Lake, Snowflake).
What We Offer:
* Full-time, fully remote position with flexible working hours
* Collaboration with a diverse international team
* Long-term growth and career development opportunities