Machine Learning Engineer

We are hiring for a Machine Learning Engineer role for our client, a technology company. Key Responsibilities Design, build, and deploy production-grade machine learning models Develop scalable data and model training pipelines Optimize model performance for latency, accuracy, and cost Collaborate with data scientists to productionize research models Implement MLOps practices for model monitoring and retraining Write clean, tested, and maintainable production code Required Skills Strong programming skills in Python and ML libraries (TensorFlow/PyTorch/Scikit-learn) Experience deploying models using Docker/Kubernetes Understanding of ML pipeline orchestration tools (Airflow/Kubeflow) Solid grasp of software engineering best practices Experience with cloud ML services (AWS/GCP/Azure) Strong problem-solving and system design skills Good to Have Experience with distributed computing (Spark) Knowledge of model monitoring tools Exposure to LLMs and generative AI About the Opportunity This is a full-time, permanent role with excellent growth prospects. The client offers a collaborative work culture, competitive compensation, and strong learning opportunities.