
AI Solutions Architect
6 days ago
Job Title: AI Engineering Lead
The ideal candidate will have a proven track record of delivering innovative AI-driven solutions across large-scale, production-ready systems.
This role involves leading cross-functional AI teams and mentoring junior engineers to drive project delivery and innovation.
The successful candidate will design and deploy scalable ML models using TensorFlow, PyTorch, and Scikit-learn, and collaborate with stakeholders to drive business outcomes through data-driven insights.
- Key Responsibilities:
- Lead cross-functional AI teams to deliver innovative AI-driven solutions across large-scale, production-ready systems.
- Mentor junior engineers and researchers to drive project delivery and innovation.
- Develop and implement AIOps use cases, including predictive maintenance, anomaly detection, and incident management.
- Design and deploy scalable ML models using TensorFlow, PyTorch, and Scikit-learn.
- Collaborate with stakeholders to drive business outcomes through data-driven insights.
Must-Have Skills & Qualifications:
- 10+ years of experience in Artificial Intelligence, specifically in ML, DL, NLP, and Generative AI applications.
- Proven expertise in AIOps use cases, including predictive maintenance, anomaly detection, and incident management.
- Deep hands-on experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or other transformer-based models.
- Familiarity with MLOps tools, Databricks, and cloud-based AI/ML services from Azure, AWS, Google Cloud Platform (GCP).
Preferred Qualifications (Good to Have):
- Experience in AI solution architecture and enterprise-scale deployments.
- Familiarity with data governance, model explainability, and AI ethics.
- Contributions to open-source AI/ML projects or research publications.
Required Skills: ML ENGINEER,PYTHON,NLP,AIML
Note: The ideal candidate will possess strong problem-solving skills, excellent communication skills, and the ability to work effectively in a team environment.
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