We are looking for a skilled Machine Learning Engineer to design, build, train, and deploy machine learning models into production environments. The ideal candidate has strong hands-on experience with Python-based ML frameworks, transformer models, and end-to-end ML pipelines, from data exploration to production deployment.

Key Responsibilities

• Design, develop, and train machine learning models using Python
• Build and fine-tune models using PyTorch and/or TensorFlow
• Work extensively with Hugging Face Transformers for NLP or related ML tasks
• Perform data exploration, analysis, and feature engineering using Python libraries (Pandas, NumPy, etc.)
• Write and optimize SQL queries for data extraction and manipulation
• Build and maintain data pipelines to support ML workflows
• Deploy machine learning models to QA and Production environments
• Monitor model performance and collaborate on improvements and retraining strategies
• Work closely with data engineers, software engineers, and product teams

Required Qualifications

• Strong experience in Python for machine learning
• Hands-on experience with PyTorch and/or TensorFlow (must-have)
• Proven experience using the Hugging Face Transformers library (must-have)
• Solid understanding of data exploration and manipulation using SQL and Python
• Experience building end-to-end ML pipelines
• Experience deploying ML models into production and QA environments
• Good understanding of ML model lifecycle and best practices

Nice to Have

• Exposure to large-scale or distributed ML systems
• Experience with Kubernetes (K8s) or containerized deployments
• Familiarity with cloud platforms (AWS, GCP, or Azure)