AI/ML Architect
Hyderabad
Product – AI/ML /
Full-time /
On-site
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Full name
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Phone
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Current company
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LinkedIn URL
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GitHub URL
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AI/ML Architect
Education: What is your highest degree and field of study?
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Master's in Computer Science/Mathematics/Statistics/Related Field
Doctorate in Computer Science/Mathematics/Statistics/Related Field
Bachelor's in Computer Science/Mathematics/Statistics/Related Field
Other degree/field
Experience: Select the option that best describes your background:
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8+ years ML/AI experience with 2+ years as AI/ML Architect
8+ years ML/AI experience with 1-2 years as AI/ML Architect
8+ years ML/AI experience with significant architecture responsibilities but no formal Architect title
5-8 years ML/AI experience with some architecture experience
Less than 5 years ML/AI experience
Other
How many years of experience do you have building and deploying AI/LLM-based solutions in production?
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No experience
Less than 1 year (basic prompting / API usage)
1–2 years
More than 2 years (includes fine-tuning/customization)
Which of the following have you worked on as part of LLM or advanced ML development?
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Fine-tuning pre-trained models (e.g., GPT, LLaMA)
Training deep learning models from scratch (CNNs, RNNs, GNNs)
Working with Transformers or LLMs (BERT, GPT, etc.)
Retrieval-Augmented Generation (RAG)
Multi-agent AI Systems
Used LangChain or similar for Agentic AI
None of the above
What tools and frameworks have you used extensively in your ML architecture work?
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TensorFlow
PyTorch
scikit-learn
Hugging Face Transformers
MLflow / SageMaker / TFX
Docker / Kubernetes
Apache Airflow
Spark / Dask
None of the above
Have you been involved in publishing research papers, filing patents, or contributing to AI conferences? *
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Yes, published papers and/or patents
Contributed to whitepapers or internal research
Not yet, but planning to
No experience
Have you led cross-functional teams or mentored junior engineers in AI/ML projects?
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Yes
No
Have you implemented or supported ML solutions in regulated or sensitive domains
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Yes, full ownership of compliance in architecture
Partial exposure (e.g., privacy, explainability features)
Theoretical knowledge only
No experience
Are you familiar with Responsible AI practices like bias detection, explainability, or ethical deployment?
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Yes, applied in real-world projects
Theoretical knowledge only
Not familiar
Current CTC (in ₹ LPA):
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Expected CTC (in ₹ LPA):
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Are you willing to relocate to Hyderabad?
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Notice Period (in days):
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Current Company Name:
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Reason for Leaving Current Organization:
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Have you led or mentored engineers or data scientists in AI/ML projects?
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Yes, formally led a team
Provided informal guidance or mentorship
No mentoring experience
Additional information
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