over 1 year ago
Bengaluru, IndiaSenior

Responsibilities

  • Develop and fine-tune deep learning and generative AI models using Python.
  • Design LLM prompts, embeddings, retrieval-augmented systems, and agentic applications.
  • Build scalable, production-ready ML code and optimize model inference.
  • Develop ML pipelines for text classification, summarization, and chat agents.
  • Deploy models through APIs using Docker, Kubernetes, AWS services, and GCP services.
  • Apply MLOps and CI/CD practices to production machine learning systems.
  • Work with SQL and NoSQL databases, Snowflake, and Databricks.

Requirements

  • At least 3 years of work experience in Python programming for AI/ML, deep learning, and generative AI model development.
  • At least 6 years of experience deploying models with Docker, Kubernetes, AWS Bedrock, SageMaker, and GCP Vertex AI through APIs.
  • Proficiency with TensorFlow, PyTorch, Hugging Face Transformers, and LangChain.
  • Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases, and agentic frameworks.
  • Strong understanding of machine learning algorithms, probability, and optimization techniques.
  • Familiarity with RAG, CAG, RIG, and LoRA fine-tuning.
  • Experience developing ML pipelines for text classification, summarization, and chat agents.
  • Prior experience with SQL and NoSQL databases, Snowflake, and Databricks.

Tech Stack

DatabricksDockerHugging Face TransformersKubernetesPythonPyTorchSnowflakeSQLTensorFlow
DataZymes Analytics Pvt. Ltd.

About DataZymes Analytics Pvt. Ltd.

51-200 employees
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