Lead AI Engineer
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Key skills for this role
Role Overview
Lead AI Engineer role focused on creating and deploying innovative AI, machine learning, and generative AI solutions.
The role involves leading AI-driven efficiencies and business outcomes while collaborating with teams across the organization.
Key Skills for This Role
Full Job Posting
Role Overview
Lead AI Engineer role focused on creating and deploying innovative AI, machine learning, and generative AI solutions.
The role involves leading AI-driven efficiencies and business outcomes while collaborating with teams across the organization.
Responsibilities
- Build and deploy scalable AI and machine learning models and generative AI 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 them with enterprise applications.
- Own development, deployment, monitoring, and optimization end to end.
- Collaborate with cross-functional teams to deliver business-driven AI solutions.
Required Experience
- 8–13 years of general IT experience.
- At least 8 years of AI engineering experience.
- At least 1 year of relevant leadership experience.
- Strong programming skills in Python.
- Hands-on experience with ETL and data pipelines.
Technical Qualifications
- Expertise in TensorFlow, PyTorch, or scikit-learn.
- Understanding of prompt engineering and working with LLMs.
- Familiarity with LangChain, LlamaIndex, or Hugging Face.
- Experience with Azure, AWS, or GCP.
- Proficiency in MLflow, Kubeflow, or Airflow.
- Strong experience in API development and model deployment.
- English proficiency at B2 level or higher, with emphasis on technical communication.
Nice-to-Have Qualifications
- Experience with RAG architectures and vector databases.
- Knowledge of real-time or streaming data pipelines.
- Exposure to scalable system design and microservices architecture.
- Expertise in Databricks or PySpark.
- Background in cloud data solutions and ETL pipelines.
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