Key Responsibilities

Design, develop, and optimize machine learning pipelines using GCP services.

Build scalable data processing workflows for training and deploying ML models.

Develop reusable and efficient Python-based modules and components.

Implement data ingestion, transformation, and feature engineering pipelines.

Collaborate with data scientists and product teams to deploy ML models into production.

Work on NLP, OCR, and Generative AI use cases.

Optimize model performance, scalability, and reliability.

Integrate third-party APIs (OpenAI, Gemini, Anthropic) into ML workflows.

Ensure best practices in code quality, testing, and documentation.

Required Skills & Qualifications:

Core Python Fundamentals

Strong understanding of

OOPs Concepts

Functions & Modules

Iterators & Generators

Exception Handling

Decorators

Typing / Dataclasses

Data Structures & Algorithms

Design Patterns

Machine Learning & Data Science

Hands-on experience with:

NumPy, Pandas

Scikit-learn

XGBoost, LightGBM

PyTorch, TensorFlow

MLflow

Matplotlib

Natural Language Processing (NLP & OCR)

Experience with

spaCy, NLTK





Transformers, Sentence-Transformers

Gensim pytesseract, EasyOCR

Generative AI & Agentic Frameworks

Strong exposure to

LangChain, LangGraph, LlamaIndex

Vector Databases: FAISS / Pinecone

LLM APIs: OpenAI, Anthropic, Google Gemini

Building AI agents using LangGraph

Cloud & Data Engineering

Hands-on experience with Google Cloud Platform (GCP) services

Experience in building data pipelines and ML pipelines

Understanding of distributed systems and scalable architecture

Preferred Skills

Experience with CI/CD pipelines for ML workflows

Knowledge of Docker / Kubernetes

Familiarity with real-time data processing

Experience in production deployment of ML models

Soft Skills

Solid problem-solving and analytical thinking

Good communication and collaboration skills

Ability to work in Agile environments

Nice to Have

Experience in Agentic AI systems and LLM-based applications

Exposure to RAG (Retrieval-Augmented Generation) architectures

📌 Data Engineer, Ahmedabad (Gurugram)
🏢 Altraize
📍 Gurugram