Lead AI Engineer

We are looking for an experienced Lead AI Engineer to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications. This role offers the opportunity to lead the charge in creating AI-driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization.

Responsibilities

Build and deploy scalable AI/ML models and GenAI solutions in production Design and maintain robust ETL pipelines and data workflows Develop LLM-based applications using modern frameworks Implement prompt engineering techniques for optimized AI outputs Deploy models via APIs and integrate with enterprise applications Ensure end-to-end ownership, including development, deployment, monitoring, and optimization Collaborate with cross-functional teams to deliver business-driven AI solutions Requirements 8-13 years of general IT experience 8+ years of experience in AI Engineering At least 1 year of relevant leadership experience Strong programming skills in Python Hands-on experience with ETL and Data Pipelines Expertise in ML/DL frameworks such as Tensor.

Flow, Py. Torch, Scikit-learn Understanding of Prompt Engineering and working with LLMs Familiarity with LLM frameworks like Lang. Chain, Llama. Index, Hugging Face Cloud experience with Azure, AWS, or GCP Proficiency in MLOps tools like MLflow, Kubeflow, Airflow Strong experience in API development and Model Deployment B2 level of English or higher, with an emphasis on technical communication skills Nice to have Experience with RAG architectures and vector databases Knowledge of real-time or streaming data pipelines Exposure to scalable system design and microservices architecture Showcase of expertise in Databricks, Py.

Spark Background in Cloud Data Solutions and ETL Pipelines