Role Overview
We are seeking a hands-on AI Engineer who can build and deploy AI solutions that drive real business impact. This role requires expertise in AI / ML model development, coding, and deploying scalable AI applications. You will work closely with business stakeholders, data engineers, and software developers to create AI-powered products that optimize decision-making and operational processes.
Key Responsibilities
- Develop AI / ML models : Design, build, and optimize machine learning models for real-world applications.
- Hands-on coding : Write clean, efficient, and scalable code for AI pipelines and deployments.
- AI product development : Translate business problems into AI solutions, from prototype to production.
- Model deployment : Implement and integrate AI models into business systems using cloud platforms (AWS, GCP, Azure) or on-premise.
- Data processing & engineering : Work with structured / unstructured data, develop pipelines, and ensure data readiness for AI applications.
- Collaboration : Work with cross-functional teams, including business leaders, product managers, and engineers, to ensure AI solutions align with business needs.
Qualifications
3-7 years of experience in AI / ML engineering, data science, or related fields.Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn) and SQL .Experience with MLOps (model monitoring, deployment, scaling).Familiarity with cloud services (AWS / GCP / Azure) and containerization (Docker, Kubernetes).Strong problem-solving skills and ability to work independently.Excellent communication skills to translate AI concepts into business impact.Preferred Qualifications
Experience in Generative AI , NLP, or Computer Vision.Exposure to LLMs (Large Language Models) and fine-tuning techniques.Understanding of software engineering best practices (CI / CD, version control, API development).