Senior Machine Learning Engineer

Senior Machine Learning Engineer We are seeking a Senior Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions for real-world business problems. The ideal candidate will work closely with data scientists, software engineers, and product teams to translate requirements into production-ready ML systems. Key Responsibilities • Design, build, train, and deploy machine learning models for structured and unstructured data • Develop end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and monitoring • Implement MLOps practices such as CI/CD for ML, model versioning, retraining, and performance monitoring • Optimize models for scalability, performance, and reliability in production environments • Collaborate with cross-functional teams to align ML solutions with business objectives • Mentor junior engineers and contribute to ML best practices and architecture decisions Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 5+ years of experience in Machine Learning / AI roles • Strong programming experience in Python • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience with data processing tools and libraries (NumPy, Pandas, SQL) • Exposure to cloud platforms (AWS, Azure, or GCP) • Experience deploying ML models into production environments • Solid understanding of ML algorithms, statistics, and model evaluation techniques Good to Have • Experience with NLP, Computer Vision, or Recommendation Systems • Knowledge of Docker, Kubernetes, and distributed systems • Experience with big data tools (Spark, Kafka) • Prior experience in MLOps tools (MLflow, Kubeflow, Airflow)