Senior machine learning engineer [up to 20k]

about the company

with a global presence across more than 60 countries, our client combines strategic planning with data-driven insights to create curated marketplaces and drive e-commerce success.

• collaborate closely with other teams to design and deploy scalable machine learning solutions in a production environment.
• build and maintain automated AI/ML workflows and full-lifecycle pipelines—including model training, deployment, and performance monitoring.
• develop Gen AI-driven solutions that enhance data science capabilities and support product development efforts.

• proficient in Python & SQL.
• practical experience with ML libraries including scikit-learn, PyTorch, and TensorFlow.
• at least 4 years of experience designing and building scalable ML infrastructure and big data platforms.
• extensive experience with MLOps tools including Airflowm and MLflow.
• experienced in deploying and scaling ML models in production, with strong expertise in building and maintaining end-to-end MLOps pipelines for training, evaluation, and deployment.
• experience running large-scale model inference with a strong focus on Databricks and Snowflake, leveraging distributed data processing frameworks such as Apache Spark and EMR.
• familiar with LLM, including fine-tuning and deployment
• hands-on experience with AWS or other cloud platform such as GCP or Azure

how to apply

• experience

• skills

Python, PyTorch, Tensorflow, scikit-learn, SQL, AI, Gen AI, ML, MLOps, AWS, Docker, K8, Databricks, Snowflake, LLM, vector DB, CICD, - qualifications

• education

Bachelor Degree

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