Machine Learning Engineer

Job Title: Machine Learning Engineer

About the Role:

We’re looking for a talented and proactive Machine Learning Engineer to join our growing data science and engineering team. This is a fantastic opportunity for someone passionate about applied machine learning, MLOps, and cutting-edge model deployment practices. You'll work on impactful projects that leverage deep learning and AI to drive business transformation.

Key Responsibilities:

• Design, develop, and deploy machine learning and deep learning models.
• Build and maintain scalable ML pipelines, including CI/CD workflows.
• Monitor model performance in production and implement retraining strategies.
• Collaborate with cross-functional teams including data engineering and product.
• Solve complex problems using a hands-on, analytical approach.

Required Skills & Experience:

• Proven experience developing and deploying ML and deep learning models.
• Strong Python programming skills; familiarity with SQL and PySpark is a plus.
• Hands-on experience with MLOps practices, model deployment, and monitoring tools.
• Proficient with libraries such as PyTorch (or Keras), Scikit-learn, and Pandas.
• Excellent analytical and problem-solving skills.
• Strong communicator, capable of working both independently and collaboratively.
• Fluent in English (spoken and written).

Preferred Qualifications:

• Knowledge of Large Language Models (LLMs), efficient ML (quantization, distillation), transfer learning, and fine-tuning.
• Experience with Microsoft Azure, particularly Azure Datalake, Datahouse, and Azure Databricks.
• Familiarity with RESTful APIs.
• Experience working with Docker and Kubernetes environments.

If you are interested in this opportunity, please message me directly or click apply!