Senior ML Engineer (US Client)

We are looking for a highly skilled Senior ML Engineer to join a project for a US-based client. The ideal candidate has deep expertise in machine learning, strong analytical thinking, and the ability to design end-to-end ML solutions within the Azure environment.

🔹 Responsibilities

• Design, develop, and deploy ML models and pipelines in the Azure ecosystem.
• Transform unstructured data into structured formats suitable for model training and analytics.
• Select appropriate ML techniques and algorithms based on the problem context (e.g., XGBoost, Random Forest, BERT, TF-IDF, etc.).
• Build scalable data processing workflows.
• Collaborate with data engineers, product teams, and stakeholders from the US side.

• Ensure models are robust, well-tested, and optimized for production.

   

🔹 Requirements

• Strong hands-on experience with Azure ML services (ML Studio, Databricks, Data Factory, etc.).
• Proven ability to work with unstructured data (text, documents, logs, etc.).
• Excellent understanding of ML/DL algorithms and when to apply each of them.
• Proficiency in Python and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Confidence in building and maintaining production-level ML pipelines.
• Advanced English — ability to participate in technical discussions with US stakeholders.

• 5+ years of experience in ML engineering / data science.

   

🔹 Nice to Have

• Experience with LLMs or NLP-heavy projects.
• Knowledge of vector databases, RAG pipelines, or embedding models.
• Azure certification(s).