Job Summary :
We are looking for an AI Engineer with strong expertise in designing and deploying AI / ML solutions that solve real-world business problems. The ideal candidate combines a deep understanding of machine learning with strong Python scripting skills, enabling them to move from concept to production quickly.
Key Responsibilities :
- Apply AI / ML techniques to business use cases in predictive modeling, NLP, computer vision, and optimization.
- Collaborate with stakeholders to translate business needs into AI-driven solutions.
- Develop and maintain production-ready pipelines for data processing, model training, deployment, and monitoring.
- Leverage Python scripting for automation, data transformation, and workflow orchestration.
- Integrate AI models into applications, APIs, and enterprise systems.
- Continuously evaluate and optimize model performance for accuracy, scalability, and cost-efficiency.
- Stay up to date with emerging AI / ML frameworks, tools, and best practices.
Required Qualifications :
4+ years of applied AI / ML experience with proven deployment in production.Must have exposure to NLP and Generative AI solutions.Experience with containerization (Docker, Kubernetes) for ML workloads.Strong hands-on expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Experience applying machine learning algorithms to structured and unstructured data.Solid knowledge of data pipelines, APIs, and automation using Python scripting.Experience with cloud AI / ML services (Azure ML, AWS SageMaker, GCP Vertex AI).Familiarity with MLOps practices for deployment, monitoring, and lifecycle management.Strong problem-solving ability and business mindset for practical AI applications.