
Senior ML/AI Engineer – Solution Architect Level
3 days ago
Experience:
7+ years in Machine Learning, Artificial Intelligence, Business Intelligence, and Cloud Architecture, with proven work in
Generative AI
and
Agentic AI systems
.
Resource Requirement:
1
Key Responsibilities
- Act as the
technical lead & solution architect
for AI/ML-powered business solutions. - Design
end-to-end architectures
integrating data pipelines, ML models, Generative AI, and Agentic AI agents. - Build
Power BI dashboards
connected to AI outputs for actionable insights. - Architect
cloud-based AI solutions
(Azure/AWS/GCP) with scalable deployment of LLMs and autonomous agents. - Mentor team members in
LLM fine-tuning
,
prompt engineering
, and
agent orchestration
. - Collaborate with stakeholders to align technical designs with business needs.
Required Competencies
- Expert in ML/AI frameworks (TensorFlow, PyTorch, scikit-learn).
- Hands-on with
Generative AI
(OpenAI GPT, Azure OpenAI, Claude, Gemini) and
Agentic AI
(LangChain, AutoGen, crewAI, OpenAI Assistants API). - Strong
Power BI
skills (DAX, data modeling, advanced visualizations). - In-depth
cloud architecture
knowledge (Azure AI/ML, AWS SageMaker, GCP Vertex AI). - Advanced MLOps, deployment, and system design skills.
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