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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKerasPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead development and implementation of AI & Automation solutions aligned with business objectives
- Architect and deploy Proof of Concepts (POCs) and Points of View (POVs) across industry verticals
- Ensure robust integration of AI solutions into enterprise systems and cloud environments (Azure, AWS, GCP)
- Collaborate with stakeholders to define technical requirements and solution roadmaps
- Mentor junior developers and promote best practices in AI development and deployment
- Stay ahead of emerging technologies and drive innovation within projects
Requirements
What you’ll need- 5–8 years of experience in AI/ML and automation development
- Strong expertise in Python and frameworks (TensorFlow, PyTorch, Keras, Langchain, MLflow)
- Hands-on experience with LLMs (GPT-3/4, BERT, T5) and fine-tuning techniques
- Deep understanding of prompt engineering, RAG architecture, and Knowledge Graphs
- Experience deploying AI models on cloud platforms and integrating with enterprise applications
- Excellent problem-solving and communication skills
Benefits
Comp & perks- Support, coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI developmentML developmentPythonTensorFlowPyTorchKerasLangchainMLflowLLMsprompt engineering
Soft Skills
problem-solvingcommunicationmentoringcollaboration
