Job Summary :

The Machine Learning Engineer is responsible for designing, developing, deploying, and maintaining machine learning and Al solutions that drive business value through predictive analytics, intelligent automation, anomaly detection, and advanced data-driven insights. This role requires strong expertise in data science, machine learning algorithms, MLOps, cloud technologies, and software engineering practices.

Key Responsibilities :

- Design, develop, and implement Machine Learning and Artificial Intelligence solutions for business and security use cases.

- Build predictive, classification, clustering, anomaly detection, recommendation, and forecasting models.

- Develop and optimize machine learning pipelines for large-scale datasets.

- Collect, process, clean, and transform structured and unstructured data from multiple sources.

- Deploy machine learning models into production environments and build automated ML pipelines.

- Leverage Generative Al, Large Language Models (LLMs), and NLP technologies.

Tech Stack :

- Python, Scikit-learn, TensorFlow, PyTorch, Azure Al ecosystem, Azure ML, Azure OpenAl.

Qualifications :

- Bachelor's degree in Computer Science, Data Science, AI, or related field. Master's degree preferred.

- 7+ years total experience, with 4+ years relevant experience in ML model development and deployment.

- Strong understanding of MLOps, model lifecycle management, and production deployment.