AI / ML Engineer

Datazymes; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Datazymes in Bengaluru, India is looking for a skilled Machine Learning Engineer with 3+ years of experience in Python programming, deep learning, and AI model development. The role involves developing ML pipelines, deploying models using Docker and Kubernetes, and understanding advanced ML algorithms.

The right candidate is expected to have hands-on experience with various ML libraries and cloud services. Ability to write optimized production-ready code is crucial. Join us in pushing the boundaries of AI/ML technologies!

Qualifications

• 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development.
• Strong understanding of ML algorithms, probability, and optimization techniques.
• Ability to write scalable, production-ready ML code and optimized model inference.

Responsibilities

• Develop ML pipelines for text classification, summarization, and chat agents.
• Deploy models using Docker, Kubernetes, and cloud services through APIs.
• Fine-tune models using retrieval-augmented generation techniques.

Skills

Python programming

TensorFlow

PyTorch

Hugging Face Transformers

Langchain libraries

NLP

ML model deployment

Docker

Kubernetes

AWS Bedrock

GCP Vertex AI

MLOps

CI/CD pipelines

SQL

noSQL databases

Snowflake

Databricks

Job description

Job Description

• 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