Data Scientist

4 weeks ago

Bengaluru, Karnataka, India Es Magico Full time

About Es Magico

Es Magico is an AI-first enterprise transformation organisation that extends beyond consulting to provide scalable execution across industries such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our core focus is to enhance the human workforce with bespoke AI employees across business functions, innovating swiftly and executing with trust. We also collaborate with early-stage startups on their 0 → 1 journey as a venture builder, bringing AI-native products to fruition.

Role: Data Scientist / Machine Learning Engineer

Experience: 1–3 years

Location: Remote

Joining: Immediate preferred

Key Responsibilities

  • Design and build end-to-end machine learning models for classification, regression, recommendation, NLP, or forecasting problems.
  • Collect, clean, and preprocess data using Python, Pandas, NumPy, etc.
  • Perform EDA, feature engineering, and model tuning using scikit-learn, XGBoost, LightGBM, etc.
  • Work on NLP models using libraries like spaCy, Hugging Face Transformers, or OpenAI APIs.
  • Collaborate with engineering teams to deploy models in production environments (batch or real-time).
  • Contribute to the development of AI-native products across enterprise and startup initiatives.

Technical Skills

  • Strong programming skills in Python.
  • Experience with ML libraries: scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
  • Proficiency in data wrangling, EDA, and feature engineering.
  • Hands-on with NLP, transformer models, or LLMs is a plus.
  • Familiarity with ML lifecycle tools like MLflow, Airflow, or DVC is a bonus.
  • Basic knowledge of model deployment, REST APIs, or cloud services (GCP, AWS) is helpful.

Preferred Qualifications

  • 1–3 years of experience in Data Science, Machine Learning, or Applied AI roles.
  • Bachelor's or Master's in Computer Science, Data Science, Statistics, or equivalent.
  • Experience working on real-world datasets and end-to-end ML pipelines.
  • Exposure to fast-paced product environments or startup settings is a plus.

How to Apply

Send your resume to careers@esmagico.in with the subject line: "Application – Data Scientist / ML Engineer"

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