ApplySarthi

AI/ML Engineer

Datazymes

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What AI roles keep asking for: LLMs (29%), Python (28%), AWS (20%), Generative AI (18%), Machine learning (16%), Observability (14%), RAG (13%) — counted across their open postings here.

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Datazymes has 5 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

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Questions you are likely to be asked

  1. Why do you want to join Datazymes?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks Strong understanding of ML algorithms, probability and optimization techniques 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning Ability to write scalable, production-ready ML code and optimized model inference Experience with developing ML pipelines for text classification, summarization and chat agents Prior experience with SQL and noSQL databases, and Snowflake/Databricks

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Listed on smartrecruiters · posted 2025-03-18. ApplySarthi collects openings and links to application pages; the role is advertised by Datazymes, not by us.